Microsoft Azure Sentinel is a new Cloud native SIEM service with built-in AI for analytics that removes the cost and complexity of achieving a central and focused near real-time view of the active threats in your environment.
Azure Sentinel is a cloud-native security information and event management (SIEM) tool that uses built-in artificial intelligence and vast threat intelligence to detect threats across organizations. It collects security data from various sources at scale in the cloud with no infrastructure costs or limits. Azure Sentinel reduces alert fatigue by up to 90% through correlated rules and user entity behavior analysis integrated with Microsoft 365. It also allows security teams to investigate threats and hunt for suspicious activities assisted by AI.
Azure Sentinel is Microsoft cloud-native SIEM and SOAR. Say goodbye to 6 months SIEM solution setup and architecture - get started with visibility on you environement just now, and use the rich ecosystem of connectors to extend intelligence to your complete security suite.
Azure Sentinel is Microsoft's cloud-native security information and event management (SIEM) and security orchestration, automation and response (SOAR) solution. It provides intelligent security analytics and threat detection across on-premises, cloud, and hybrid environments. Azure Sentinel collects data from various sources using connectors and agents, then analyzes the data using machine learning to detect threats and automate responses. It integrates with other Microsoft security solutions and allows threat hunting and visualization of security incidents.
Microsoft Sentinel is a cloud-native security information and event management (SIEM) solution powered by AI and automation. It collects security data from various sources at cloud scale, uses machine learning to analyze the data and detect threats, provides visualizations to investigate incidents and related entities, and enables automating common security tasks and workflows through automation rules and playbooks. This increases security operations efficiency and helps organizations accelerate response to security threats.
here's where Microsoft has invested, across these areas: identity and access management, apps and data security, network security, threat protection, and security management.
We’ve put a tremendous amount of investment into these areas and the way it shows up is across a pretty broad array of product areas and features.
Our Identity and Access Management tools enable you to take an identity-based approach to security, and establish truly conditional access policies
Our App and Data Security help you protect your apps and your data as it moves around—both inside and outside your organization
Azure includes a robust networking infrastructure with built-in security controls for your application and service connectivity.
Our Threat Protection capabilities are built in and fully integrated, so you can strengthen both pre-breach protection with deep capabilities across e-mail, collaboration services, and end points including hardware based protection; and post-breach detection that includes memory and kernel based protection and response with automation.
And our Security Management tools give you the visibility and more importantly the guidance to manage policy centrally
Get comprehensive protection across all your platforms and clouds
Protect your organization from threats across devices, identities, apps, data and clouds. Get unmatched visibility into your multiplatform environment that unifies Security Information and Event Management (SIEM) and Extended Detection and Response (XDR). Simplify your security stack with Azure Sentinel and Microsoft Defender.
This document discusses how to use Azure Sentinel and Microsoft Defender ATP to catch cyber threats. It provides an overview of the Microsoft security ecosystem and capabilities of Azure Sentinel and Defender ATP. Specifically, it outlines how to enable various data sources, design detection rules, and conduct hunting queries using these solutions.
Azure Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation and response (SOAR) solution that uses built-in machine learning to detect threats and allows security teams to automate responses. It collects security data from across an organization, including Microsoft 365 data for free. Azure Sentinel is scalable and has no infrastructure costs, with customers only paying for resources used. It integrates with existing security tools and data sources.
Azure Sentinel is a cloud-native security information and event management (SIEM) tool that uses built-in artificial intelligence and vast threat intelligence to detect threats across organizations. It collects security data from various sources at scale in the cloud with no infrastructure costs or limits. Azure Sentinel reduces alert fatigue by up to 90% through correlated rules and user entity behavior analysis integrated with Microsoft 365. It also allows security teams to investigate threats and hunt for suspicious activities assisted by AI.
Azure Sentinel is Microsoft cloud-native SIEM and SOAR. Say goodbye to 6 months SIEM solution setup and architecture - get started with visibility on you environement just now, and use the rich ecosystem of connectors to extend intelligence to your complete security suite.
Azure Sentinel is Microsoft's cloud-native security information and event management (SIEM) and security orchestration, automation and response (SOAR) solution. It provides intelligent security analytics and threat detection across on-premises, cloud, and hybrid environments. Azure Sentinel collects data from various sources using connectors and agents, then analyzes the data using machine learning to detect threats and automate responses. It integrates with other Microsoft security solutions and allows threat hunting and visualization of security incidents.
Microsoft Sentinel is a cloud-native security information and event management (SIEM) solution powered by AI and automation. It collects security data from various sources at cloud scale, uses machine learning to analyze the data and detect threats, provides visualizations to investigate incidents and related entities, and enables automating common security tasks and workflows through automation rules and playbooks. This increases security operations efficiency and helps organizations accelerate response to security threats.
here's where Microsoft has invested, across these areas: identity and access management, apps and data security, network security, threat protection, and security management.
We’ve put a tremendous amount of investment into these areas and the way it shows up is across a pretty broad array of product areas and features.
Our Identity and Access Management tools enable you to take an identity-based approach to security, and establish truly conditional access policies
Our App and Data Security help you protect your apps and your data as it moves around—both inside and outside your organization
Azure includes a robust networking infrastructure with built-in security controls for your application and service connectivity.
Our Threat Protection capabilities are built in and fully integrated, so you can strengthen both pre-breach protection with deep capabilities across e-mail, collaboration services, and end points including hardware based protection; and post-breach detection that includes memory and kernel based protection and response with automation.
And our Security Management tools give you the visibility and more importantly the guidance to manage policy centrally
Get comprehensive protection across all your platforms and clouds
Protect your organization from threats across devices, identities, apps, data and clouds. Get unmatched visibility into your multiplatform environment that unifies Security Information and Event Management (SIEM) and Extended Detection and Response (XDR). Simplify your security stack with Azure Sentinel and Microsoft Defender.
This document discusses how to use Azure Sentinel and Microsoft Defender ATP to catch cyber threats. It provides an overview of the Microsoft security ecosystem and capabilities of Azure Sentinel and Defender ATP. Specifically, it outlines how to enable various data sources, design detection rules, and conduct hunting queries using these solutions.
Azure Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation and response (SOAR) solution that uses built-in machine learning to detect threats and allows security teams to automate responses. It collects security data from across an organization, including Microsoft 365 data for free. Azure Sentinel is scalable and has no infrastructure costs, with customers only paying for resources used. It integrates with existing security tools and data sources.
Modernize your Security Operations with Azure SentinelCheah Eng Soon
Modernize your security operations with Azure Sentinel. Azure Sentinel is a cloud-native security information and event management (SIEM) solution that uses artificial intelligence and automation to help detect threats across your entire enterprise. It collects security data from any source, uses built-in analytics and AI to detect threats, enables hunting of security data through queries, and allows you to start investigations from prioritized incidents. Azure Sentinel also provides automation capabilities through integrated logic apps to automate security operations.
Microsoft Azure Sentinel is a new Cloud native SIEM service with built-in AI for analytics that removes the cost and complexity of achieving a central and focused near real-time view of the active threats in your environment. Koby Koren from the Azure Sentinel engineering team walks through the entire solution with an end-to-end demonstration from how to set it up, perform queries, investigations and more.
Azure Sentinel is in preview today. Follow the link to try for yourself https://aka.ms/AzureSentinel
Microsoft Azure Security Overview - Microsoft - CSS Dallas AzureAlert Logic
This document provides an overview of security in Microsoft Azure. It discusses how Azure shares responsibility for security with customers and how it secures the platform through methods like preventing and assuming breaches, operational security practices, physical security of datacenters, and architecting for more secure multi-tenancy. The document also summarizes Azure's approach to identity and access management, incident response, data protection, and how customers maintain control over their data.
This document provides an overview of Microsoft Azure security features, including:
- Shared responsibility model where Microsoft secures the platform and customers secure their data and applications
- Identity and access management, encryption of data at rest and in transit, network security controls, and logging/monitoring capabilities
- Security Center provides visibility into threats and advanced analytics to detect attacks
- Operations Management Suite allows collecting logs from Azure, on-premises, and other clouds to analyze security events
- Microsoft works with partners to provide additional virtual network appliances and security solutions to customers
Azure Sentinel Jan 2021 overview deck Matt Soseman
Azure Sentinel is a cloud-native security information event management (SIEM) and security orchestration automated response (SOAR) solution. It collects data from across an organization, uses built-in analytics and threat intelligence to detect threats, enables investigation of incidents with AI, and automates responses. Azure Sentinel provides visibility across users, devices, applications, and infrastructure both on-premises and in multiple clouds. It detects previously unknown threats, minimizes false positives, and allows hunting for suspicious activities at scale. Responses can be automated through built-in orchestration of common tasks. Azure Sentinel has no infrastructure setup or maintenance costs and scales automatically with unlimited compute and storage resources.
The document discusses Security Incident and Event Management (SIEM) systems and Microsoft Sentinel. It provides an overview of what a SIEM system is and what functionality it typically includes, such as log management, alerting, visualization, and incident management. It then describes Microsoft Sentinel specifically and how it is a cloud-native SIEM system that security operations teams can use to collect security data from various sources, detect threats using machine learning and analytics, and investigate and respond to security incidents.
Microsoft 365 provides holistic security across these four aspects of security.
By helping enterprise businesses secure corporate data and manage risk in today’s mobile-first, cloud-first world Microsoft 365 enables customers to digitally transform by unifying user productivity and enterprise security tools into a single suite that enables the modern workplace.
Identity & Access Mgmt
Secure identities to reach zero trust
Threat Protection
Help stop damaging attacks with integrated and automated security
Information Protection
Protect sensitive information anywhere it lives
Security Management
Strengthen your security posture with insights and guidance
A Zero Trust approach should extend throughout the entire digital estate and serve as an integrated security philosophy and end to end strategy.
Identities. Identities whether they represent people, services, or IOT devices define the Zero Trust control plane. When an identity attempts to access a resource, we need to verify that identity with strong authentication, ensure access is compliant and typical for that identity, and follows least privilege access principles.
Devices. Once an identity has been granted access to a resource, data can flow to a variety of different devices From IoT devices to smartphones, BYOD to partner managed devices, and on premises workloads to cloud hosted servers. This diversity creates a massive attack surface area, requiring we monitor and enforce device health and compliance for secure access.
Applications. Applications and APIs provide the interface by which data is consumed. They may be legacy on premises, lift and shifted to cloud workloads, or modern SaaS applications. Controls and technologies should be applied to discover Shadow IT, ensure appropriate in-app permissions, gate access based on real-time analytics, monitor for abnormal behavior, control of user actions, and validate secure configuration options.
Data. Ultimately, security teams are focused on protecting data. Where possible, data should remain safe even if it leaves the devices, apps, infrastructure, and networks the organization controls. Data should be classified, labeled, and encrypted, and access restricted based on those attributes.
Infrastructure. Infrastructure (whether on premises servers, cloud based VMs, containers, or micro services) represents a critical threat vector. Assess for version, configuration, and JIT access to harden defense, use telemetry to detect attacks and anomalies, and automatically block and flag risky behavior and take protective actions.
Networks. All data is ultimately accessed over network infrastructure. Networking controls can provide critical “in pipe” controls to enhance visibility and help prevent attackers from moving laterally across the network. Networks should be segmented (including deeper in network micro segmentation) and real time threat protection, end to end encryption, monitoring, and analytics should be employed.
Each of these six foundational elements serves as a source of the signal, a control plane for enforcement, and a critical resource to defend. You should appropriately spread your investments across each of these elements for maximum protection.
Praveen Nair is a program director at Adfolks LLC and formerly held roles at Orion Business Innovation and PIT Solutions. He is a Microsoft MVP and certified in various Microsoft, PMP, and CSPO programs. Azure Monitor is a monitoring solution that collects, analyzes, and acts on telemetry data from Azure and on-premises environments. It helps maximize application performance and availability and proactively identify problems. Azure Monitor provides a unified view of applications, infrastructure, and networks using collected metrics and logs analyzed with Kusto query language.
Azure Sentinel is a cloud-native security information and event management (SIEM) tool that collects, stores, and analyzes security-related data. It uses machine learning and behavioral analytics to detect threats and automate responses. Azure Sentinel collects log data from various sources through connectors and analyzes the data using built-in queries, notebooks, and workbooks. It leverages the MITRE ATT&CK framework for threat hunting and generates incidents for investigation and remediation of threats.
This document provides an overview of Azure Security Center, which is a service that helps secure hybrid cloud environments. It discusses how Azure Security Center provides improved security across Azure subscriptions by delivering security recommendations, dashboards to monitor security state, and APIs to integrate with other security tools. The presentation includes an agenda that covers why cloud security is needed, how Azure Security Center addresses security as a shared responsibility, and demonstrations of its key capabilities like threat detection, secure score assessments, and recommendations for configuring security controls.
Microsoft Office 365 Advanced Threat Protection leverages our approach and our strengths to help customers be secure against advanced threats and recover quickly in the event they are attacked.
Protect their data
Detect compromised users
And gain the required visibility to respond to threats
Microsoft Sentinel- a cloud native SIEM & SOAR.pdfKranthi Aragonda
This document provides an overview of Microsoft Sentinel, a cloud-native SIEM and SOAR solution. It discusses what SOAR is, important SOAR capabilities like security orchestration and automation. It also covers the benefits of SOAR like faster incident detection and boosting analyst productivity. The document then explains how Microsoft Sentinel collects data at cloud scale, responds to incidents with automation, and detects threats using analytics. It describes features like data connectors, workbooks, hunting, notebooks and certifications related to Microsoft Sentinel.
This document provides an overview of Microsoft Cloud App Security. It discusses how the platform provides enterprise-class security for identities and access management, threat protection, information protection, and infrastructure security across cloud apps and services. Key capabilities include discovering shadow IT, assessing app risks, blocking unsanctioned apps, detecting threats, classifying and protecting data, and integrating with other Microsoft security solutions. The document also presents demos of the discovery, protection, and threat detection capabilities and discusses how Cloud App Security can integrate with other security tools and automate security workflows. It concludes with next steps around signing up for a trial and exploring use cases.
- Azure provides a unified platform for modern business with compute, data, storage, networking and application services across global Azure regions and a consistent hybrid cloud.
- Azure focuses on security and privacy with an emphasis on detection, response, and protection across infrastructure, platforms and applications.
- Security is a shared responsibility between Microsoft and customers, with Microsoft providing security controls and capabilities to help protect customer data and applications.
This presentation walks through the Security and Compliance functionality to customers leveraging Azure as a compute environment. It includes deep-dive references to detailed information on each topic presented.
Cyberspace is the new battlefield:
We’re seeing attacks on civilians and organizations from nation states. Attacks are no longer just against governments or enterprise systems directly. We’re seeing attacks against private property—the mobile devices we carry around everyday, the laptop on our desks—and public infrastructure. What started a decade-and-a-half ago as a sense that there were some teenagers in the basement hacking their way has moved far beyond that. It has morphed into sophisticated international organized crime and, worse, sophisticated nation state attacks.
Personnel and resources are limited:
According to an annual survey of 620 IT professional across North America and Western Europe from ESG, 51% respondents claim their organization had a problem of shortage of cybersecurity skills—up from 23% in 2014.1 The security landscape is getting more complicated and the stakes are rising, but many enterprises don’t have the resources they need to meet their security needs.
Virtually anything can be corrupted:
The number of connected devices in 2018 is predict to top 11 billion – not including computers and phones. As we connect virtually everything, anything can be disrupted. Everything from the cloud to the edge needs to be considered and protected.2
The document provides an agenda and details for a Microsoft Tech Talk event. It includes a schedule with check-in from 12:45-1:00 PM, a welcome and kickoff starting at 1:00 PM, and a Q&A session from 2:45 PM. It also provides information on facilities like restrooms and WiFi access. Microsoft Tech Talks are designed to bring IT leaders together at a Microsoft facility for discussions on Microsoft technology and networking opportunities. Presentations are given by Microsoft experts and cover new products, features, and services. These events have over 2500 members across various local meetup groups.
SBA Security Meetup - Deploying and managing azure sentinel as code by Bojan ...SBA Research
Deploying and Managing Azure Sentinel as Code
In this Meetup, Bojan Magusic will explore and demonstrate how to detect threats and respond smarter and faster and eliminate security risks using Azure Sentinel as Code. The talk will cover specifically:
- Security challenges that SOC teams are facing
- How can the public cloud help us manage those challenges
- What is a cloud-native next-generation SIEM
- Glimpse into a cloud native next-gen SIEM that is Azure Sentinel
- Using Infrastructure as Code to manage Azure Sentinel
Speaker:
Bojan Magusic (Cloud Solution Architect - Security & Compliance - Microsoft)
Talk language: English
About the Speaker:
*********************
Bojan Magusic is a Cloud Solution Architect - Security & Compliance, One Commercial Partner, Microsoft Ireland. He will explore and demonstrate how to detect threats and respond smarter and faster and eliminate security risk using Azure Sentinel as Code. Bojan acts as a technology expert for Microsoft partners in Western Europe, who are looking to build new solutions based on Microsoft’s Azure cloud platform technologies. He has a strong passion for cybersecurity, advancing women in tech, and professional development. He is very interested in building partnerships with other companies to learn how they support, advance, and retain their cyber talent. In addition to various technical certifications, he also has received certifications from INSEAD and Kellogg School of Management. Bojan resides in Dublin (Ireland), from where he is living the dream!
Modernize your Security Operations with Azure SentinelCheah Eng Soon
Modernize your security operations with Azure Sentinel. Azure Sentinel is a cloud-native security information and event management (SIEM) solution that uses artificial intelligence and automation to help detect threats across your entire enterprise. It collects security data from any source, uses built-in analytics and AI to detect threats, enables hunting of security data through queries, and allows you to start investigations from prioritized incidents. Azure Sentinel also provides automation capabilities through integrated logic apps to automate security operations.
Microsoft Azure Sentinel is a new Cloud native SIEM service with built-in AI for analytics that removes the cost and complexity of achieving a central and focused near real-time view of the active threats in your environment. Koby Koren from the Azure Sentinel engineering team walks through the entire solution with an end-to-end demonstration from how to set it up, perform queries, investigations and more.
Azure Sentinel is in preview today. Follow the link to try for yourself https://aka.ms/AzureSentinel
Microsoft Azure Security Overview - Microsoft - CSS Dallas AzureAlert Logic
This document provides an overview of security in Microsoft Azure. It discusses how Azure shares responsibility for security with customers and how it secures the platform through methods like preventing and assuming breaches, operational security practices, physical security of datacenters, and architecting for more secure multi-tenancy. The document also summarizes Azure's approach to identity and access management, incident response, data protection, and how customers maintain control over their data.
This document provides an overview of Microsoft Azure security features, including:
- Shared responsibility model where Microsoft secures the platform and customers secure their data and applications
- Identity and access management, encryption of data at rest and in transit, network security controls, and logging/monitoring capabilities
- Security Center provides visibility into threats and advanced analytics to detect attacks
- Operations Management Suite allows collecting logs from Azure, on-premises, and other clouds to analyze security events
- Microsoft works with partners to provide additional virtual network appliances and security solutions to customers
Azure Sentinel Jan 2021 overview deck Matt Soseman
Azure Sentinel is a cloud-native security information event management (SIEM) and security orchestration automated response (SOAR) solution. It collects data from across an organization, uses built-in analytics and threat intelligence to detect threats, enables investigation of incidents with AI, and automates responses. Azure Sentinel provides visibility across users, devices, applications, and infrastructure both on-premises and in multiple clouds. It detects previously unknown threats, minimizes false positives, and allows hunting for suspicious activities at scale. Responses can be automated through built-in orchestration of common tasks. Azure Sentinel has no infrastructure setup or maintenance costs and scales automatically with unlimited compute and storage resources.
The document discusses Security Incident and Event Management (SIEM) systems and Microsoft Sentinel. It provides an overview of what a SIEM system is and what functionality it typically includes, such as log management, alerting, visualization, and incident management. It then describes Microsoft Sentinel specifically and how it is a cloud-native SIEM system that security operations teams can use to collect security data from various sources, detect threats using machine learning and analytics, and investigate and respond to security incidents.
Microsoft 365 provides holistic security across these four aspects of security.
By helping enterprise businesses secure corporate data and manage risk in today’s mobile-first, cloud-first world Microsoft 365 enables customers to digitally transform by unifying user productivity and enterprise security tools into a single suite that enables the modern workplace.
Identity & Access Mgmt
Secure identities to reach zero trust
Threat Protection
Help stop damaging attacks with integrated and automated security
Information Protection
Protect sensitive information anywhere it lives
Security Management
Strengthen your security posture with insights and guidance
A Zero Trust approach should extend throughout the entire digital estate and serve as an integrated security philosophy and end to end strategy.
Identities. Identities whether they represent people, services, or IOT devices define the Zero Trust control plane. When an identity attempts to access a resource, we need to verify that identity with strong authentication, ensure access is compliant and typical for that identity, and follows least privilege access principles.
Devices. Once an identity has been granted access to a resource, data can flow to a variety of different devices From IoT devices to smartphones, BYOD to partner managed devices, and on premises workloads to cloud hosted servers. This diversity creates a massive attack surface area, requiring we monitor and enforce device health and compliance for secure access.
Applications. Applications and APIs provide the interface by which data is consumed. They may be legacy on premises, lift and shifted to cloud workloads, or modern SaaS applications. Controls and technologies should be applied to discover Shadow IT, ensure appropriate in-app permissions, gate access based on real-time analytics, monitor for abnormal behavior, control of user actions, and validate secure configuration options.
Data. Ultimately, security teams are focused on protecting data. Where possible, data should remain safe even if it leaves the devices, apps, infrastructure, and networks the organization controls. Data should be classified, labeled, and encrypted, and access restricted based on those attributes.
Infrastructure. Infrastructure (whether on premises servers, cloud based VMs, containers, or micro services) represents a critical threat vector. Assess for version, configuration, and JIT access to harden defense, use telemetry to detect attacks and anomalies, and automatically block and flag risky behavior and take protective actions.
Networks. All data is ultimately accessed over network infrastructure. Networking controls can provide critical “in pipe” controls to enhance visibility and help prevent attackers from moving laterally across the network. Networks should be segmented (including deeper in network micro segmentation) and real time threat protection, end to end encryption, monitoring, and analytics should be employed.
Each of these six foundational elements serves as a source of the signal, a control plane for enforcement, and a critical resource to defend. You should appropriately spread your investments across each of these elements for maximum protection.
Praveen Nair is a program director at Adfolks LLC and formerly held roles at Orion Business Innovation and PIT Solutions. He is a Microsoft MVP and certified in various Microsoft, PMP, and CSPO programs. Azure Monitor is a monitoring solution that collects, analyzes, and acts on telemetry data from Azure and on-premises environments. It helps maximize application performance and availability and proactively identify problems. Azure Monitor provides a unified view of applications, infrastructure, and networks using collected metrics and logs analyzed with Kusto query language.
Azure Sentinel is a cloud-native security information and event management (SIEM) tool that collects, stores, and analyzes security-related data. It uses machine learning and behavioral analytics to detect threats and automate responses. Azure Sentinel collects log data from various sources through connectors and analyzes the data using built-in queries, notebooks, and workbooks. It leverages the MITRE ATT&CK framework for threat hunting and generates incidents for investigation and remediation of threats.
This document provides an overview of Azure Security Center, which is a service that helps secure hybrid cloud environments. It discusses how Azure Security Center provides improved security across Azure subscriptions by delivering security recommendations, dashboards to monitor security state, and APIs to integrate with other security tools. The presentation includes an agenda that covers why cloud security is needed, how Azure Security Center addresses security as a shared responsibility, and demonstrations of its key capabilities like threat detection, secure score assessments, and recommendations for configuring security controls.
Microsoft Office 365 Advanced Threat Protection leverages our approach and our strengths to help customers be secure against advanced threats and recover quickly in the event they are attacked.
Protect their data
Detect compromised users
And gain the required visibility to respond to threats
Microsoft Sentinel- a cloud native SIEM & SOAR.pdfKranthi Aragonda
This document provides an overview of Microsoft Sentinel, a cloud-native SIEM and SOAR solution. It discusses what SOAR is, important SOAR capabilities like security orchestration and automation. It also covers the benefits of SOAR like faster incident detection and boosting analyst productivity. The document then explains how Microsoft Sentinel collects data at cloud scale, responds to incidents with automation, and detects threats using analytics. It describes features like data connectors, workbooks, hunting, notebooks and certifications related to Microsoft Sentinel.
This document provides an overview of Microsoft Cloud App Security. It discusses how the platform provides enterprise-class security for identities and access management, threat protection, information protection, and infrastructure security across cloud apps and services. Key capabilities include discovering shadow IT, assessing app risks, blocking unsanctioned apps, detecting threats, classifying and protecting data, and integrating with other Microsoft security solutions. The document also presents demos of the discovery, protection, and threat detection capabilities and discusses how Cloud App Security can integrate with other security tools and automate security workflows. It concludes with next steps around signing up for a trial and exploring use cases.
- Azure provides a unified platform for modern business with compute, data, storage, networking and application services across global Azure regions and a consistent hybrid cloud.
- Azure focuses on security and privacy with an emphasis on detection, response, and protection across infrastructure, platforms and applications.
- Security is a shared responsibility between Microsoft and customers, with Microsoft providing security controls and capabilities to help protect customer data and applications.
This presentation walks through the Security and Compliance functionality to customers leveraging Azure as a compute environment. It includes deep-dive references to detailed information on each topic presented.
Cyberspace is the new battlefield:
We’re seeing attacks on civilians and organizations from nation states. Attacks are no longer just against governments or enterprise systems directly. We’re seeing attacks against private property—the mobile devices we carry around everyday, the laptop on our desks—and public infrastructure. What started a decade-and-a-half ago as a sense that there were some teenagers in the basement hacking their way has moved far beyond that. It has morphed into sophisticated international organized crime and, worse, sophisticated nation state attacks.
Personnel and resources are limited:
According to an annual survey of 620 IT professional across North America and Western Europe from ESG, 51% respondents claim their organization had a problem of shortage of cybersecurity skills—up from 23% in 2014.1 The security landscape is getting more complicated and the stakes are rising, but many enterprises don’t have the resources they need to meet their security needs.
Virtually anything can be corrupted:
The number of connected devices in 2018 is predict to top 11 billion – not including computers and phones. As we connect virtually everything, anything can be disrupted. Everything from the cloud to the edge needs to be considered and protected.2
The document provides an agenda and details for a Microsoft Tech Talk event. It includes a schedule with check-in from 12:45-1:00 PM, a welcome and kickoff starting at 1:00 PM, and a Q&A session from 2:45 PM. It also provides information on facilities like restrooms and WiFi access. Microsoft Tech Talks are designed to bring IT leaders together at a Microsoft facility for discussions on Microsoft technology and networking opportunities. Presentations are given by Microsoft experts and cover new products, features, and services. These events have over 2500 members across various local meetup groups.
SBA Security Meetup - Deploying and managing azure sentinel as code by Bojan ...SBA Research
Deploying and Managing Azure Sentinel as Code
In this Meetup, Bojan Magusic will explore and demonstrate how to detect threats and respond smarter and faster and eliminate security risks using Azure Sentinel as Code. The talk will cover specifically:
- Security challenges that SOC teams are facing
- How can the public cloud help us manage those challenges
- What is a cloud-native next-generation SIEM
- Glimpse into a cloud native next-gen SIEM that is Azure Sentinel
- Using Infrastructure as Code to manage Azure Sentinel
Speaker:
Bojan Magusic (Cloud Solution Architect - Security & Compliance - Microsoft)
Talk language: English
About the Speaker:
*********************
Bojan Magusic is a Cloud Solution Architect - Security & Compliance, One Commercial Partner, Microsoft Ireland. He will explore and demonstrate how to detect threats and respond smarter and faster and eliminate security risk using Azure Sentinel as Code. Bojan acts as a technology expert for Microsoft partners in Western Europe, who are looking to build new solutions based on Microsoft’s Azure cloud platform technologies. He has a strong passion for cybersecurity, advancing women in tech, and professional development. He is very interested in building partnerships with other companies to learn how they support, advance, and retain their cyber talent. In addition to various technical certifications, he also has received certifications from INSEAD and Kellogg School of Management. Bojan resides in Dublin (Ireland), from where he is living the dream!
07 - Defend Against Threats with SIEM Plus XDR Workshop - Microsoft Sentinel ...carlitocabana
This document provides an overview and summary of Microsoft Sentinel, a cloud-native security information and event management (SIEM) tool powered by artificial intelligence. The summary highlights that Microsoft Sentinel allows organizations to harness the scale of the cloud to optimize security operations, detect evolving threats using machine learning, and expedite incident response. It collects security data from any source at cloud scale, provides analytics and hunting capabilities, integrates threat intelligence, and enables automated incident response through orchestration and playbooks.
This document provides an overview of Azure Sentinel and how it can be used with Office 365. It discusses the challenges of security operations and how Azure Sentinel uses AI and automation to help. It then summarizes Azure Sentinel's key capabilities including visibility, analytics, hunting, incidents, and automation. It also includes demonstrations of these capabilities and steps to set up Azure Sentinel with an Office 365 connection.
The document discusses Microsoft's approach to security and how the threat landscape is evolving. It emphasizes building an integrated security experience that combines data from across Microsoft products and services with machine learning to better detect and respond to threats. It also outlines Microsoft's strategy to make attacks more costly for threat actors by disrupting their economic models and technical playbooks through rapid response capabilities and a defense in depth approach across identity, devices, infrastructure and applications.
Azure Operation Management Suite - security and complianceAsaf Nakash
Today’s IT Security and Operations teams are tasked with managing highly complex, hybrid-cloud, cross-platform systems which are increasingly vulnerable to a growing number of sophisticated cyber-attacks. With this, IT Operations teams have a requirement to identify any threats to their environment as soon as possible to mitigate damages, as well as continue to cost-effectively meet SLAs.
This document introduces Microsoft Azure Sentinel, a cloud-native security information and event management (SIEM) and security orchestration, automation and response (SOAR) solution. It provides intelligent security analytics by collecting and analyzing security data from across an organization. It uses built-in and customizable analytics, investigations, and automated responses to detect, investigate, and respond to threats. It also integrates with Microsoft services and third-party tools to provide a single solution for security operations challenges.
Cloudbrew 2019 - Threat hunting with the Microsoft CloudTom Janetscheck
With the release of Azure Sentinel, Microsoft has shifted some features from Azure Security Center to their new threat hunting solution. But how do all the security tools Microsoft offers nowadays integrate with each other? How can you find a way through this security jungle? And how do you make sure to have the right tools in place when it comes to protecting your IT environments and hunting threats?
Join cloud security expert and Microsoft MVP Tom Janetscheck for this demo-rich session to get all these questions answered and to learn how to protect your resources easily and efficiently.
This document discusses how Microsoft's cloud security services help organizations be more secure. It provides an overview of Microsoft's security tools across threat protection, information protection, identity and access management, and security management. These include services like Azure Active Directory, Azure Security Center, Microsoft Threat Protection, and more. The document also emphasizes that Microsoft partners with other security vendors and organizations to provide a more comprehensive ecosystem of intelligent security solutions.
Nicholas DiCola | Secure your IT resources with Azure Security CenterMicrosoft Österreich
This document summarizes Azure Security Center, a service that provides unified visibility and control of security across hybrid cloud workloads. It dynamically discovers resources, enables adaptive threat prevention through assessments and recommendations, and provides intelligent detection and response using advanced analytics and Microsoft's Intelligent Security Graph. Customers gain insights through centralized security management and save time on security tasks. Azure Security Center is available in free and standard tiers that differ in features and pricing.
Seeing More Clearly: How Essilor Overcame 3 Common Cloud Security Challenges ...Amazon Web Services
IT security teams are increasingly pressured to accomplish more, with fewer resources. Trend Micro Deep Security helps organizations understand and overcome their most common cloud security challenges, without having to expand their cloud tool set. Join the upcoming webinar to learn how Essilor, a world leader in the design and manufacturing of corrective lenses, has enabled their IT teams to apply, maintain and scale security across their AWS environments by overcoming these common challenges in cloud migrations.
We will discuss how Essilor managed, and overcame, the pace of change when adopting a cloud environment, the transformation of their traditional IT security roles, and how they chose the right security tools and technology to achieve their business goals.
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
Slides from training session "Chef's tour of the Security Adoption Framework" by Mark Simos at Tampa BSides training day on 5 April 2024
This session provides a view of end to end security following Zero Trust principles (and how Microsoft guides customers through this modernization journey)
How to Meet Strict Security & Compliance Requirements in the Cloud (SEC208) |...Amazon Web Services
(Presented by Trend Micro)
In this session, you learn about the AWS shared security model, including considerations and best practices for deploying a secure and compliant application on AWS, and how to leverage the features and APIs provided by AWS. You also learn how to use best-in-class security and compliance solutions that have been optimized for enterprises deploying in AWS.
Key topics covered are Amazon EC2 and Amazon EBS encryption, including several key management methodologies as well as intrusion detection and prevention, anti-malware, anti-virus, integrity monitoring, firewall, and web reputation in the cloud.
This document summarizes a presentation about securing data on AWS. It discusses how AWS can provide more security than on-premises environments through automated logging and monitoring, simplified access controls, and built-in encryption. It also outlines how AWS and customers share responsibility for security, with AWS managing the security of the cloud infrastructure and customers defining access and encryption controls for their applications and data. The presentation then demonstrates FireEye's Threat Analytics Platform for providing cloud-based threat detection, investigation, and response capabilities tailored for AWS environments.
ExpertsLiveNL - Post Breach Security with ATA or ATPTim De Keukelaere
This document provides an overview and comparison of Microsoft's Advanced Threat Analytics (ATA) and Azure Advanced Threat Protection (ATP) solutions. ATA is an on-premises platform that uses behavioral analytics to detect advanced attacks and insider threats. ATP is a cloud-based solution that also uses behavioral analytics to detect threats throughout the attack kill chain. Both solutions reduce fatigue from false positives by only generating alerts for contextually aggregated suspicious activities. The document discusses architecture, installation, configuration, integration with other tools, and demonstrations of ATA and ATP.
Microsoft Sentinel and Its Components.pptxInfosectrain3
The Microsoft Sentinel was previously known as Azure Sentinel. Microsoft Sentinel is a cloud-based SIEM (Security Information Event Management) and SOAR (Security Orchestration Automated Response) tool used by security operation analysts to gather information from many sources and provide security insights to the corporation.
The document discusses cybersecurity and protecting information. It provides statistics on why organizations want to protect information, such as to reduce data leakage, meet compliance requirements, and partition sensitive data from unauthorized users. It then lists some of Microsoft's security capabilities for protecting devices, customer data in the cloud, on-premises environments, and customer data both in the cloud and on-premises.
Microsoft Security adoptionguide for the enterprisessuserd58af7
The document provides an overview and guidance for organizations to strengthen their security posture while maximizing their existing Microsoft security investments. It discusses adopting a Zero Trust approach and using Microsoft Sentinel and Microsoft 365 Defender to gain visibility and defend against threats across an organization's digital estate. It also outlines recommendations for getting started with Microsoft Secure Score and provides training opportunities for security operations teams to gain necessary skills to address common security challenges.
Azure Active Directory - Secure and GovernCheah Eng Soon
Azure Active Directory helps secure and govern authentication with features like conditional access and privileged identity management. It allows organizations to mitigate admin risk, govern identities, and set terms of use policies for authentication and access across cloud and on-premises environments.
Zero Trust is a security concept that requires strict identity verification for anyone or anything trying to access applications, data, and infrastructure inside or outside the network. It assumes there is no implicit trust granted to assets and users inside the network, and that verification is required for every access. The goal of Zero Trust is to minimize risk from both external and internal threats by preventing lateral movement and only allowing access based on least-privilege user roles and asset usage.
Microsoft Endpoint Manager provides comprehensive device management capabilities for on-premises environments. It allows IT administrators to deploy, update, protect and monitor Windows, macOS, Linux and IoT devices from a single console. Endpoint Manager combines the capabilities of Configuration Manager and Intune to help businesses securely manage all types of devices across locations.
Microsoft Threat Protection Automated Incident Response Cheah Eng Soon
Microsoft Defender provides automated threat protection including zero-hour and auto purge features to respond to incidents. It also has automated incident response capabilities for user reported phishing attacks and URL verdict changes that help address threats.
The document discusses Azure penetration testing. It provides an agenda that covers an overview of common Azure services attacked, tools used for testing, and guidelines. It describes how Microsoft's blue and red teams work together on testing. Policies prohibit attacks on other customers or social engineering. Encouraged tests include using trial accounts and informing Microsoft of any vulnerabilities found. Steps outlined include identifying attack surfaces, data collection, vulnerability scanning, and penetration testing public-facing Azure services using tools like MicroBurst. Securing databases and using encryption are also addressed. A demo of vulnerability identification is promised.
You'll understand how hackers can attack resources hosted in the Azure and protect Azure infrastructure by identifying vulnerabilities, along with extending your pentesting tools and capabilities.
Microsoft Threat Protection Automated Incident Response DemoCheah Eng Soon
A user reported a phishing attack in their Office 365 organization. The Office 365 Threat Protection service investigated the report and found a malicious URL distributing malware. The URL was blocked for all users in the organization to prevent further infection from this phishing attempt.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document outlines demo scenarios for Microsoft Cloud App Security including discovering cloud apps used by an organization, protecting information from connected apps, detecting anomalous user behavior and threats across applications, and automating alert management with Power Automate. The scenarios cover exploring snapshot and continuous reports of discovered apps and risk scores, investigating connected apps and activity logs, detecting anonymous access, and integrating Microsoft Cloud App Security with Microsoft Threat Protection and Power Automate.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document summarizes three Microsoft cloud security products: Azure Security Center, Azure Defender, and Microsoft Cloud App Security. Azure Security Center strengthens multi-cloud security posture through dashboards, connectors, secure scores, recommendations, and inventory. Azure Defender protects cloud workloads through vulnerability assessment and security for SQL, storage, and Kubernetes. Microsoft Cloud App Security discovers cloud apps, protects access to connected apps, and detects anomalous user behavior and threats.
Azure Active Directory - External Identities Demo Cheah Eng Soon
The document discusses configuring external identities in Azure Active Directory. It mentions partner authentication with Azure AD and consumer identity providers. It also discusses verifying identities with IDology and lists several organization names, addresses, and contact emails.
Azure WAF is a cloud-native web application firewall service that provides powerful protection for web apps with simple deployment, low maintenance costs, and automatic updates. It acts as a content delivery network and can defend against common attacks like command execution, SQL injection, cross-site scripting, and more, as demonstrated in a presentation where custom rules were set up to create an Azure WAF.
Azure Weekend 2020 Build Malaysia Bus Uncle ChatbotCheah Eng Soon
Thank you for the informative presentation on conversational AI and natural language processing. I learned about key concepts like QnA Maker, Azure Bot Service, and various NLP capabilities in Azure Cognitive Services like text analytics, speech, and translation. The demo was very helpful to see these services in action.
20 common security vulnerabilities and misconfiguration in AzureCheah Eng Soon
This document outlines 20 common security vulnerabilities and misconfigurations in Microsoft Azure. It discusses issues such as storage accounts being publicly accessible, lack of multi-factor authentication, insecure guest user settings, and features like Azure Security Center and Network Watcher being disabled by default. The document is intended to educate users on important security best practices for securing resources and configurations in Azure.
Integrate Microsoft Graph with Azure Bot ServicesCheah Eng Soon
The document discusses 4 steps to integrate Microsoft Graph with Azure Bot Services by registering an application in Azure AD, making queries to Microsoft Graph to retrieve data like documents from SharePoint, implementing code snippets to retrieve the data, and extending the bot to Microsoft Teams. It provides an overview of conversational AI and Azure Bot Services and demonstrates using Microsoft Graph Explorer.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
4. Too many
disconnected
products
High volume
of noisy alerts
Security skills
in short supplyLack of
automation
Rising infrastructure
costs and upfront
investment
IT deployment &
maintenance
Sophistication
of threats
Traditional SOC Challenges
6. Introducing Microsoft Azure Sentinel
Azure Sentinel
Cloud-native SIEM for intelligent security
analytics for your entire enterprise
Respond
Rapidly and
automate protection
Detect
Threats with vast
threat intelligence
and AI
Investigate
Collect
Security data across
your enterprise
Critical incidents
guided by AI
Limitless cloud speed and scale
Bring your Office 365 data for Free
Easy integration with your existing tools
Faster threat protection with AI by your side
7. Microsoft Security Advantage
$1B annual investment in cybersecurity
3500+ global security experts
Trillions of diverse signals for
unparalleled intelligence
10. Traditional
Reduce security and IT costs- Get a cost effective SIEM
No infrastructure costs, Only pay for
what you use
Bring your Office 365 Data for free
Predictable Billing with capacity
reservations
Flexible model, no annual
commitments
Sentinel
Cloud-native, scalable SIEMHardware
setup
Maintenance Software
setup
17. Respond rapidly with built-in orchestration and automation
Build automated and
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integrate across tools
! Security Products
Ticketing Systems
(ServiceNow)
Additional tools
18. Take actions today- Get started with Azure Sentinel
To learn more, visit
https://aka.ms/AzureSentinel
Connect
data sources
Start
Microsoft Azure trial
Open Azure Sentinel
dashboard in Azure Portal
19. Demo
How can Tailwind Traders detect
suspicious activity in Tailwind Traders
Azure AD instance?
20.
21. • Facebook : Microsoft Developers
Malaysia
• Twitter & Insta : msdevsmy
❖Like, Comment, Share & Subscribe❖
Editor's Notes
Today, organizations are faced with the incredibly difficult task of trying to protect their expanded digital estate from increasing cyber threats. The move to the cloud and a mobile workforce have pushed the border of your estate beyond the boundary of your physical network. You data and users and systems are everywhere. Meanwhile the frequency and sophistication of attacks are ever growing. Regardless of the size of your organization or the industry, you are a target.
This is the challenge that we all struggle with in IT security. And it's a challenge we at Microsoft think that we can uniquely help with.
The SecOps mission of protecting organizations’ information and assets is becoming increasingly difficult. Attack techniques, frequency, and complexity are evolving fast. Security teams are under strain from the expanding breadth of defensive technologies, accelerating hybrid cloud adoption, and borderless, zero-trust networks. The shortage of SecOps talent makes this problem worse.
Considering the future needs of SOCs, these are the most prominent pain points:
Threats continue to grow in complexity and volume
Attacks are increasingly heterogeneous. A typical attack spans different parts of the enterprise and crosses various resource types: it might start from an IoT device, proceed to an endpoint, spread to a cloud service or to a database, involve multiple user accounts or tenants, and so on.
Alert fatigue: SOCs see too many alerts from disconnected products
Enterprise SOCs typically have dozens of security products, each producing a large volume of alerts. In isolation, these products often have high false positive rates and poor response prioritization, resulting in deafening alert noise. Attacks fall through the cracks despite generating alerts. Unfortunately, legacy SIEMs are functioning only as aggregators and don’t increase response capabilities. Enterprise SOCs need a way to integrate their security products to reduce the noise, prioritize alerts, and enable investigation and hunting across the entire dataset.
There is a global shortage of security analysts and experience
The need for skilled security professionals has greatly increased, and supply cannot meet current or future demand. A recent report by CSO magazine showed that this global talent shortage will increase to 3.5 million unfilled security jobs by 2021.
Investigation is complex and time-consuming
Every second counts when SecOps personnel are handling a threat that might jeopardize their organization. The clock is ticking fast, but investigation requires highly skilled security analysts and can often take days or weeks.
Current solutions are not architected for today’s demands, or tomorrow’s
Legacy on-premises SIEMs require powerful hardware and extensive maintenance that make them expensive to operate. Storage and compute needs increase dramatically during an incident, which is difficult for an on-prem footprint to accommodate. The move to the cloud has enabled a new degree of enterprise scale-out, and with the explosion of cloud-born data, legacy SIEMs are less and less able to cope with the demand.
The cloud can help manage that complexity of the expanding digital estate. It simplifies and makes security easy to manage. Harnessing the power of cloud will set your SecOps teams free of IT work and help them focus on security work with no limits.
Next generation of AI and automation in the cloud helps to super-charge your work. It will leverage the large-scale intelligence available in the cloud and make it work for you.
That’s why we re-imagined the SIEM + SOAR tool to introduce a new cloud-native solution called Microsoft Azure Sentinel - providing intelligent security analytics at cloud scale for your entire enterprise.
Azure Sentinel makes it easy to collect security data across your entire hybrid organization from devices, users, apps, servers and any cloud, it uses the power of artificial intelligence to ensure you are identifying real threats quickly, and unleashes you from the burden of traditional SIEMs by eliminating the need to spend time on setting up, maintaining and scaling infrastructure.
Since it is built on Azure, it offers limitless cloud scale and speed, scaling automatically to address your needs.
Traditional SIEMs have also proven to be expensive to own and operate, often requiring you to commit upfront and incur high cost for infrastructure maintenance and data ingestion. With Azure Sentinel there will be no upfront costs, you will only pay for what you use, and we are offering free Office 365 activity data import to help you reduce security costs significantly
At Microsoft, we spend over a billion dollars every year on research and development to secure your organization and enable you to digitally transform - without compromising productivity. We try to keep it simple for our customers knowing you have limited resources and dollars. We do this through our operations, technology and partnerships.
What makes Microsoft so different to other cloud providers and even security providers is that we have over 3,500 security professionals and Intelligence informed by trillions of sources so we can help you make smarter decisions and remediate faster.
We provide a truly holistic approach to technology. Microsoft helps you protect identities, data, applications, and devices across on-premises, cloud, and mobile - end to-end. This protection is at global scale with enterprise –class technology. Benefit from the investment of security at global scale with built-in capabilities and resources.
Azure Sentinel is a true software as a service solution for SIEM and SOAR with automatic scalability -no server installation, maintenance, or complex configuration. It lets your SecOps team focus on the most important tasks- defending against threats to your organization.
Azure Sentinel is available in the Azure portal and becomes a central place for security operations, getting a near real time view of security events and providing tools to investigate and respond to incidents.
As an Azure Service, you can easily augment security operations with other cloud services in Azure portal like Machine Learning, Logic Apps and Azure Monitor.
Traditional SIEMs have proven to be expensive to own and operate, often requiring you to commit upfront and incur high cost for infrastructure maintenance and data ingestion. With Azure Sentinel there are no upfront costs, you pay for what you use. Our aim is to provide you a cost effective SIEM solution.
Many enterprises are using Office 365 and are increasingly adopting the advanced security and compliance offerings included in Microsoft 365. There are many cases when you want to combine security data from users and end point applications with information from your infrastructure environment and 3rd party data to understand a complete attack. It would be ideal if you could do this all within the compliance boundaries of a single cloud provider. Today we are announcing that you can bring your Office 365 activity data to Azure Sentinel for free. It takes just a few clicks and you retain the data within the Microsoft Cloud.
Reduce infrastructure costs when you automatically scale resources as you need and only pay for what you use.
Pay nothing extra when you ingest data from Office 365 audit logs, Azure activity logs, and alerts from Microsoft threat protection solutions.
Save up to 60 percent as compared to pay-as-you-go pricing through capacity reservation tiers. Receive predictable monthly bills and the flexibility to change your capacity tier commitment every 31 days.
With Azure Sentinel you can aggregate all security data with built-in connectors, native integration of Microsoft signals and support for industry standard log formats. Microsoft 365 customers can import their Office 365 activity data for free to gain deeper insights. We continue to collaborate with many partners in the Microsoft Intelligent Security Association and support easy connectors and customizable dashboards for popular solutions including Palo Alto Networks, F5, Symantec, Fortinet and many more to come . Azure Sentinel is based on Azure Monitor that uses a proven and scalable log analytics database that ingests more than 10 petabytes everyday and provides a very fast query engine that can sort through millions of records in seconds.
Azure Sentinel also integrates with Graph Security API to enable customers to import their own threat intelligence feeds.
Azure Sentinel is an open and extensible solution. It enables your team to bring your own insights, tailored detections, machine learning models, and threat intelligence to customize analytics for your own environment. For e.g. If you want to customize and enrich the detections more than the built-in ML models, then you can bring your own models to Azure Sentinel using the built-in Azure Machine Learning service or use Microsoft Graph API to integrate your existing Threat Intelligence feeds with Azure Sentinel.
Additionally, it enables a community driven approach to share and enhance best practices, threat intelligence and mitigation. GitHub community available through the Azure Sentinel dashboard can be used to share hunting queries or pre-defined Jupyter Notebooks.
Analyze and detect threats quickly with AI on your side- Security analysts face a huge burden of triage as they not only have to sift through a sea of alerts, but also correlate alerts from different products manually or using a traditional correlation engine. That’s why Azure Sentinel uses state of the art, scalable machine learning algorithms to correlate millions of low fidelity alerts to few high fidelity security incidents. Azure Sentinel also includes user behavior analytics to help you identify anomalies, compromised identities, and malicious insider actions.
ML technologies will help you quickly get value from large amounts of security data you are ingesting and connect the dots for you. For example - a compromised account leading to Office 365 Mailbox exfiltration. It helps reduce noise drastically, we have seen an overall reduction of up to 90% in alert fatigue with early adopters. These machine learning models are built-in and give you the benefits of decades of Microsoft security experience and ongoing knowledge from running 100s of cloud services. you do not need to be a data scientist to run such models. Some SecOps teams may need to customize ML based analysis and they can even bring their own ML models in Azure Sentinel.
Graphical and AI-based investigation will reduce the time it takes to understand the full scope of an attack and its impact. You can visualize the attack and take quick actions in the same dashboard.
Proactive hunting of suspicious activities is another critical task for the security analysts. Oftentimes, the process by which SecOps collect and analyze the data is a repeatable process – and therefore – can be automated.
Today, Azure Sentinel provides two capabilities that enable you to automate your analysis by building hunting queries and Azure Notebooks (Jupiter notebooks). Based on the proactive hunting that our own Incident Response and Threat Analysts teams perform, we’ve developed a set of queries and Azure Notebooks that are available today in Azure Sentinel to help SecOps navigate the most common scenarios. And as the threat landscape evolves, so will our queries and Azure Notebooks. We will provide new queries and Azure Notebooks via the Azure Sentinel GitHub community.
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Automated expert guidance with a feature called virtual analyst- it automatically reasons over the alerts, provides a confidence score for their severity and helps you get a prioritized list of alerts. Virtual analyst “works and thinks” like a cybersecurity analyst; it automates expert-knowledge by generating a ”tailor-made” rich entity-based hunting graph for each security alert and assigns these alerts with confidence scores in attempt to evaluate their “maliciousness”. (Will not be available at Preview launch)
Interactive visualization leveraging analytics (automate expert-knowledge) to explore and analyze massive amounts of data
Proactive guided data exploration; allowing pivoting in real time between disparate datasets, using bookmarks and creation of cases
Enable a hunter to filter and prioritize data, employing advanced data science techniques (using Azure Notebooks)
Live stream to look at and understand event flows in real time
While AI sharpens your focus on finding problems, once you have solved the problem you don’t want to keep finding the same problems over and over – rather you want to automate to address common issues. Azure Sentinel provides built-in automation with pre-defined or custom playbooks to solve repetitive tasks and to respond to threats quickly. Azure Sentinel will augment existing enterprise defense and investigation tools, including best-of-breed security products, homegrown tools, and other systems like HR management applications and workflow management systems like ServiceNow.