apidays LIVE New York 2021 - API-driven Regulations for Finance, Insurance, and Healthcare
July 28 & 29, 2021
Solving API security through holistic obervability
Jean-Baptiste Aviat, AppSec Staff Engineer at Datadog
How To Create An AppD Centre of Excellence at AppD Global Tour LondonAppDynamics
A CIO once said, “AppDynamics will transform the way your business runs”. AppDynamics is easy to deploy - but to realize full ROI it's critical to drive adoption across all teams and IT processes. Learn best practices on how to build an AppD Centre of Excellence to help drive adoption across your enterprise.
Cisco and AppDynamics: Redefining Application Intelligence - AppD Summit EuropeAppDynamics
On the 20th March 2017, AppDynamics was acquired by Cisco for $3.7B, the biggest M&A multiple for a company bought for over $1B. This acquisition reinforces Cisco’s strategic direction, shifting to software-centric solutions and analytics. AppDynamics’ real-time data platform will be correlated with Cisco’s data platforms over time, giving joint customers the richest end-to-end view (from business to user to app to infrastructure), allowing for better remediation and automation.
In this session, come and hear what’s next, as Tejaswi Redkar, Head of Products and Experience in the Cloud and Analytics Business Unit at Cisco and Adam Leftik, VP of Product Management, at AppDynamics, go deeper into the value Cisco and AppDynamics will bring. Tejaswi and Adam will detail:
- The announcement and its significance for the software and infrastructure industries
- How the acquisition will redefine application intelligence
For more information, visit: www.appdynamics.com
If you are looking to gain all the benefits of Splunk software with all the benefits of a cloud-service, this is a must-attend session. In this session learn why Splunk Cloud is the industry-leading SaaS platform for operational intelligence and hear how Splunk Cloud customers use Splunk software with zero operational overhead. You will also learn how Splunk Cloud offers the full feature set of Splunk Enterprise, access to 500+ apps and single pane-of-glass visibility across Splunk Cloud and Splunk Enterprise deployments.
This document discusses cloud security governance and related challenges. It begins by outlining key cloud security concerns like lack of visibility, loss of control, and multi-tenancy issues. Major risks are then examined, such as data leakage, account hijacking, and insecure cloud software. The document also explores the shared responsibility model between cloud service providers and consumers. It notes that many breaches are due to customer misconfiguration rather than provider vulnerabilities. Finally, challenges in implementing cloud security governance are mentioned, such as cloud discovery, gaps in contracts, and rapidly changing cloud services and architectures.
In 2018, Zero Trust Security gained popularity due to its simplicity and effectiveness. Yet despite a rise in awareness, many organizations still don’t know where to start or are slow to adopt a Zero Trust approach.
The result? Breaches affected as many as 66% of companies just last year. And as hackers become more sophisticated and resourceful, the number of breaches will continue to rise.
Unless organizations adopt Zero Trust Security. In 2019, take some time to assess your company’s risk factors and learn how to implement Zero Trust Security in your organization.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Datadog is a monitoring service that helps scale monitoring through pre-canned tools like integrations and dashboards, templated dashboards that can be reused across environments, and a powerful API. The API allows monitoring to be coded and integrated with provisioning tools like CloudFormation, version controlled, and tracked like any other code. This improves monitoring by bringing development practices like testing, versioning, and avoiding duplication to monitoring configuration and resources.
How To Create An AppD Centre of Excellence at AppD Global Tour LondonAppDynamics
A CIO once said, “AppDynamics will transform the way your business runs”. AppDynamics is easy to deploy - but to realize full ROI it's critical to drive adoption across all teams and IT processes. Learn best practices on how to build an AppD Centre of Excellence to help drive adoption across your enterprise.
Cisco and AppDynamics: Redefining Application Intelligence - AppD Summit EuropeAppDynamics
On the 20th March 2017, AppDynamics was acquired by Cisco for $3.7B, the biggest M&A multiple for a company bought for over $1B. This acquisition reinforces Cisco’s strategic direction, shifting to software-centric solutions and analytics. AppDynamics’ real-time data platform will be correlated with Cisco’s data platforms over time, giving joint customers the richest end-to-end view (from business to user to app to infrastructure), allowing for better remediation and automation.
In this session, come and hear what’s next, as Tejaswi Redkar, Head of Products and Experience in the Cloud and Analytics Business Unit at Cisco and Adam Leftik, VP of Product Management, at AppDynamics, go deeper into the value Cisco and AppDynamics will bring. Tejaswi and Adam will detail:
- The announcement and its significance for the software and infrastructure industries
- How the acquisition will redefine application intelligence
For more information, visit: www.appdynamics.com
If you are looking to gain all the benefits of Splunk software with all the benefits of a cloud-service, this is a must-attend session. In this session learn why Splunk Cloud is the industry-leading SaaS platform for operational intelligence and hear how Splunk Cloud customers use Splunk software with zero operational overhead. You will also learn how Splunk Cloud offers the full feature set of Splunk Enterprise, access to 500+ apps and single pane-of-glass visibility across Splunk Cloud and Splunk Enterprise deployments.
This document discusses cloud security governance and related challenges. It begins by outlining key cloud security concerns like lack of visibility, loss of control, and multi-tenancy issues. Major risks are then examined, such as data leakage, account hijacking, and insecure cloud software. The document also explores the shared responsibility model between cloud service providers and consumers. It notes that many breaches are due to customer misconfiguration rather than provider vulnerabilities. Finally, challenges in implementing cloud security governance are mentioned, such as cloud discovery, gaps in contracts, and rapidly changing cloud services and architectures.
In 2018, Zero Trust Security gained popularity due to its simplicity and effectiveness. Yet despite a rise in awareness, many organizations still don’t know where to start or are slow to adopt a Zero Trust approach.
The result? Breaches affected as many as 66% of companies just last year. And as hackers become more sophisticated and resourceful, the number of breaches will continue to rise.
Unless organizations adopt Zero Trust Security. In 2019, take some time to assess your company’s risk factors and learn how to implement Zero Trust Security in your organization.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Datadog is a monitoring service that helps scale monitoring through pre-canned tools like integrations and dashboards, templated dashboards that can be reused across environments, and a powerful API. The API allows monitoring to be coded and integrated with provisioning tools like CloudFormation, version controlled, and tracked like any other code. This improves monitoring by bringing development practices like testing, versioning, and avoiding duplication to monitoring configuration and resources.
Backing Up Amazon EC2 with Amazon EBS Snapshots (CMP301-R1) - AWS re:Invent 2018Amazon Web Services
With Amazon EBS, you can easily create a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review how snapshots work, and we share best practices for tagging snapshots, cost management, and snapshot automation.
More Than Monitoring: How Observability Takes You From Firefighting to Fire P...DevOps.com
For some, observability is just a hollow rebranding of monitoring, for others it’s monitoring on steroids. But what if we told you observability is the new way to find out why—not just if—your distributed system or application isn’t working as expected? Today, we see that traditional monitoring approaches can fall short if a system or application doesn’t adequately externalize its state.
This is truer as workloads move into the cloud and leverage ephemeral technologies, such as microservices and containers. To reach observability, IT and DevOps teams need to correlate different sources from logs, metrics, traces, events and more. This becomes even more challenging when defining the online revenue impact of a failed container—after all, this is what really matters to the business.
This webinar will cover:
The differences between observability and monitoring
Why it is a bigger challenge in a multicloud and containerized world
How observability results in less firefighting and more fire prevention
How new platforms can help gain observability (on premises and in the cloud) for containers, microservices and even SAP or mainframes
The document discusses multi-cloud management. It describes how using multiple cloud providers can help organizations capitalize on different computing models but also adds complexity that requires effective management strategies. It identifies the main goals of multi-cloud as avoiding unnecessary complexity and containing costs. It also outlines some of the main challenges of managing heterogeneous clouds, such as complexity, lack of interoperability, and increased management overhead.
Distributed Immutable Ephemeral - New Paradigms for the Next Era of SecuritySounil Yu
We are rapidly approaching the next era of security where we need to be focused on the ability to recover from irrecoverable attacks. This can also be defined as resiliency. The traditional view of resiliency attempts to quickly restore assets that support services that we care about. This new approach/paradigm looks at resilience in ways that promote design patterns (distributed, immutable, ephemeral) where we do not care about a given asset at all while still keeping the overall service functioning. This new approach allows us to avoid having to deal with security at all.
This document provides a high-level overview of a cloud architecture design. It discusses considerations for the design including service assurance, high availability, secure tenant segregation, and data center scalability. It then describes the proposed design which includes pods, availability zones, and regions to provide modular scalability, redundancy, and tenant isolation. Management servers and databases are separated for control and data planes.
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Information Technology Disaster Planningguest340570
1) Information technology disasters come in many forms including fire, flooding, viruses, hacking and sabotage. Flooding poses a major threat as many data centers are located in basements.
2) All organizations need a disaster recovery plan that outlines an alternate location, communication procedures, and how to continue serving customers.
3) Creating an effective IT disaster recovery plan involves four steps: determining service levels for applications, choosing backup and recovery plans for each application, training personnel, and regularly testing the plan. Regular testing is important to work out any issues.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
Any modern business with digital assets requires a robust site reliability framework to secure it’s digital domains and ensure uninterrupted service delivery.
This is essential to protect revenue streams and brand value as well as to shield your website against cyber threats.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
The document outlines a cybersecurity reference architecture that provides:
1. Active threat detection across identity, apps, infrastructure, and devices using tools like Azure Security Center, Windows Defender ATP, and Enterprise Threat Detection.
2. Protection of sensitive data through information protection, classification, and data loss prevention tools.
3. Management of identity and access to securely embrace identity as the primary security perimeter.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
Cortex secures the future by reinventing security operations through its unique approach. Cortex breaks down data and product silos by gaining enterprise-scale visibility across network, endpoint, and cloud data using its Cortex XDR platform. Cortex XDR improves prevention, detection, and response capabilities. Demisto automates security processes and orchestrates responses through playbooks with its many product integrations.
This document discusses edge computing and how it relates to IoT and AI. It defines key concepts like IoT, AI, machine learning, and cloud computing. It then explains that edge computing allows data from IoT devices to be processed locally instead of sending it to data centers, improving latency, security, costs and business uptime. Some applications of edge computing include autonomous vehicles, augmented reality, retail, and connected homes/offices.
Adopting A Zero-Trust Model. Google Did It, Can You?Zscaler
Based on 6 years of creating zero trust networks at Google, the BeyondCorp framework has led to the popularization of a new network security model within enterprises, called the software-defined perimeter.
The document discusses the top 10 cloud service providers:
1. Amazon EC2 provides scalable computing resources that can be accessed over the internet and only pay for what is used.
2. Verizon offers vCloud Express which provides flexible and on-demand computing resources through an intuitive web console.
3. IBM provides private, hybrid, and public cloud solutions including infrastructure, platforms and software as a service.
It then briefly describes each of the top 10 providers and their key cloud computing offerings.
This document discusses recommendations for securing an Active Directory environment. It recommends a single forest single domain architecture by default, but acknowledges exceptions may exist. It introduces a tier model for access control and recommends restricting privilege escalation through measures like privileged access workstations and assessing AD security. It also recommends restricting lateral movement, implementing attack detection solutions, and preparing the organization through strategic planning and technical education.
This document is a seminar report presented by Rahul Kumar on Amazon Web Services (AWS). It provides an overview of AWS, why organizations use AWS due to its flexibility, cost effectiveness, scalability, security and experience. It describes AWS services including compute, storage, database, analytics and others. It discusses the history of AWS and how AWS works, allowing customers to provision resources on demand and pay only for what they use. The report highlights advantages such as low costs, flexibility and innovation capabilities, while also noting potential limitations such as vendor lock-in.
Fluency - Next Generation Incident Response Utilizing Big Data Analytics Over...Collin Miles
Fluency’s vision empowers decisions through a holistic view of the network, fusing the ability to monitor traffic with SIEM-like capability. Fluency provides clarity & measurable value by leveraging Big Data & Packet Monitoring to provide more information, not less; additionally Fluency is open & integrates with existing deployed security solutions protecting investments made while providing measurable, complementary value & an extremely quick ROI from the day implemented.
****Fluency In The Press:
- RSA Selected as 1 of 9 Most Innovative Security Products of 2015 (Only Breach Offering Selected) - 04/15
- CRN Selected #6 of the 10 Coolest Security Startups of 2015 - 07/15
- CRN Selected as 1 of the Top 25 Disrupters (Across all IT Disciplines) of 2015 - 08/15
This document summarizes a research paper that proposes using an ensemble of k-nearest neighbor (k-NN) classifiers with genetic programming to improve network intrusion detection. The researchers trained classifiers on the KDD Cup 1999 dataset, which contains network traffic labeled as normal or an attack of various types. They preprocessed the data to remove redundancy and applied feature selection before training. The ensemble of k-NN classifiers classified data into five categories - one normal and four attack types - and achieved 99.97% accuracy on testing after genetic programming optimized the ensemble.
Backing Up Amazon EC2 with Amazon EBS Snapshots (CMP301-R1) - AWS re:Invent 2018Amazon Web Services
With Amazon EBS, you can easily create a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review how snapshots work, and we share best practices for tagging snapshots, cost management, and snapshot automation.
More Than Monitoring: How Observability Takes You From Firefighting to Fire P...DevOps.com
For some, observability is just a hollow rebranding of monitoring, for others it’s monitoring on steroids. But what if we told you observability is the new way to find out why—not just if—your distributed system or application isn’t working as expected? Today, we see that traditional monitoring approaches can fall short if a system or application doesn’t adequately externalize its state.
This is truer as workloads move into the cloud and leverage ephemeral technologies, such as microservices and containers. To reach observability, IT and DevOps teams need to correlate different sources from logs, metrics, traces, events and more. This becomes even more challenging when defining the online revenue impact of a failed container—after all, this is what really matters to the business.
This webinar will cover:
The differences between observability and monitoring
Why it is a bigger challenge in a multicloud and containerized world
How observability results in less firefighting and more fire prevention
How new platforms can help gain observability (on premises and in the cloud) for containers, microservices and even SAP or mainframes
The document discusses multi-cloud management. It describes how using multiple cloud providers can help organizations capitalize on different computing models but also adds complexity that requires effective management strategies. It identifies the main goals of multi-cloud as avoiding unnecessary complexity and containing costs. It also outlines some of the main challenges of managing heterogeneous clouds, such as complexity, lack of interoperability, and increased management overhead.
Distributed Immutable Ephemeral - New Paradigms for the Next Era of SecuritySounil Yu
We are rapidly approaching the next era of security where we need to be focused on the ability to recover from irrecoverable attacks. This can also be defined as resiliency. The traditional view of resiliency attempts to quickly restore assets that support services that we care about. This new approach/paradigm looks at resilience in ways that promote design patterns (distributed, immutable, ephemeral) where we do not care about a given asset at all while still keeping the overall service functioning. This new approach allows us to avoid having to deal with security at all.
This document provides a high-level overview of a cloud architecture design. It discusses considerations for the design including service assurance, high availability, secure tenant segregation, and data center scalability. It then describes the proposed design which includes pods, availability zones, and regions to provide modular scalability, redundancy, and tenant isolation. Management servers and databases are separated for control and data planes.
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Information Technology Disaster Planningguest340570
1) Information technology disasters come in many forms including fire, flooding, viruses, hacking and sabotage. Flooding poses a major threat as many data centers are located in basements.
2) All organizations need a disaster recovery plan that outlines an alternate location, communication procedures, and how to continue serving customers.
3) Creating an effective IT disaster recovery plan involves four steps: determining service levels for applications, choosing backup and recovery plans for each application, training personnel, and regularly testing the plan. Regular testing is important to work out any issues.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
Any modern business with digital assets requires a robust site reliability framework to secure it’s digital domains and ensure uninterrupted service delivery.
This is essential to protect revenue streams and brand value as well as to shield your website against cyber threats.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
The document outlines a cybersecurity reference architecture that provides:
1. Active threat detection across identity, apps, infrastructure, and devices using tools like Azure Security Center, Windows Defender ATP, and Enterprise Threat Detection.
2. Protection of sensitive data through information protection, classification, and data loss prevention tools.
3. Management of identity and access to securely embrace identity as the primary security perimeter.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
Cortex secures the future by reinventing security operations through its unique approach. Cortex breaks down data and product silos by gaining enterprise-scale visibility across network, endpoint, and cloud data using its Cortex XDR platform. Cortex XDR improves prevention, detection, and response capabilities. Demisto automates security processes and orchestrates responses through playbooks with its many product integrations.
This document discusses edge computing and how it relates to IoT and AI. It defines key concepts like IoT, AI, machine learning, and cloud computing. It then explains that edge computing allows data from IoT devices to be processed locally instead of sending it to data centers, improving latency, security, costs and business uptime. Some applications of edge computing include autonomous vehicles, augmented reality, retail, and connected homes/offices.
Adopting A Zero-Trust Model. Google Did It, Can You?Zscaler
Based on 6 years of creating zero trust networks at Google, the BeyondCorp framework has led to the popularization of a new network security model within enterprises, called the software-defined perimeter.
The document discusses the top 10 cloud service providers:
1. Amazon EC2 provides scalable computing resources that can be accessed over the internet and only pay for what is used.
2. Verizon offers vCloud Express which provides flexible and on-demand computing resources through an intuitive web console.
3. IBM provides private, hybrid, and public cloud solutions including infrastructure, platforms and software as a service.
It then briefly describes each of the top 10 providers and their key cloud computing offerings.
This document discusses recommendations for securing an Active Directory environment. It recommends a single forest single domain architecture by default, but acknowledges exceptions may exist. It introduces a tier model for access control and recommends restricting privilege escalation through measures like privileged access workstations and assessing AD security. It also recommends restricting lateral movement, implementing attack detection solutions, and preparing the organization through strategic planning and technical education.
This document is a seminar report presented by Rahul Kumar on Amazon Web Services (AWS). It provides an overview of AWS, why organizations use AWS due to its flexibility, cost effectiveness, scalability, security and experience. It describes AWS services including compute, storage, database, analytics and others. It discusses the history of AWS and how AWS works, allowing customers to provision resources on demand and pay only for what they use. The report highlights advantages such as low costs, flexibility and innovation capabilities, while also noting potential limitations such as vendor lock-in.
Fluency - Next Generation Incident Response Utilizing Big Data Analytics Over...Collin Miles
Fluency’s vision empowers decisions through a holistic view of the network, fusing the ability to monitor traffic with SIEM-like capability. Fluency provides clarity & measurable value by leveraging Big Data & Packet Monitoring to provide more information, not less; additionally Fluency is open & integrates with existing deployed security solutions protecting investments made while providing measurable, complementary value & an extremely quick ROI from the day implemented.
****Fluency In The Press:
- RSA Selected as 1 of 9 Most Innovative Security Products of 2015 (Only Breach Offering Selected) - 04/15
- CRN Selected #6 of the 10 Coolest Security Startups of 2015 - 07/15
- CRN Selected as 1 of the Top 25 Disrupters (Across all IT Disciplines) of 2015 - 08/15
This document summarizes a research paper that proposes using an ensemble of k-nearest neighbor (k-NN) classifiers with genetic programming to improve network intrusion detection. The researchers trained classifiers on the KDD Cup 1999 dataset, which contains network traffic labeled as normal or an attack of various types. They preprocessed the data to remove redundancy and applied feature selection before training. The ensemble of k-NN classifiers classified data into five categories - one normal and four attack types - and achieved 99.97% accuracy on testing after genetic programming optimized the ensemble.
This document provides an overview of Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS), including fundamentals, evolution over time, vulnerabilities, security frameworks, good practices, and resources. It defines SCADA/ICS, describes how they have become more interconnected, lists vulnerabilities like outdated systems and remote access, outlines security standards like NIST and NERC, recommends practices like segmentation and patching, and provides example frameworks and resources.
Patient Privacy Control for Health Care in Cloud Computing SystemIRJET Journal
This document describes a cloud-based healthcare system that aims to provide secure sharing of patient health information between healthcare providers while maintaining patient privacy. The system uses authentication and access control schemes along with encryption techniques like attribute-based encryption to restrict access to patient data based on user attributes. It presents the design of the system architecture, which includes patient, doctor and lab units. It also outlines the main algorithms used in the system for key generation, signing data, verifying signatures, and simulating transcript data to protect patient identities. The goal of the system is to enable secure telemedicine and remote diagnosis capabilities while ensuring patient privacy in distributed cloud healthcare computing.
This document discusses explainable artificial intelligence (XAI) for predicting and explaining future software defects. It describes how software analytics can be used to mine data from issue tracking systems and version control systems to build analytical models for software defect prediction. The document outlines a framework called MAME that involves mining data, analyzing metrics, building models, and explaining predictions. Accurate prediction of defects is important, but explanations are also needed to address regulatory concerns and help practitioners prioritize resources effectively.
TIG / Infocyte: Proactive Cybersecurity for State and Local GovernmentInfocyte
This webinar and presentation outlines the Infocyte HUNT threat detection and incident response platform, and how it enables state and local government organizations:
- Reduce risk across local, off-network, and cloud IT assets
- Expose and eliminate hidden cyber threats and vulnerabilities
- Streamline your overall security operations
- Achieve and maintain compliance
Using Infocyte, TIG can provide their customers with cost-effective, easy-to-manage, and on-demand cybersecurity consulting services (e.g. compromise assessments, incident response) and managed security services (e.g. managed detection and response).
Visit https://www.infocyte.com/ to learn more and request a demo, or request a cybersecurity risk assessment (Compromise Assessment) using the link below:
https://www.infocyte.com/free-compromise-assessment/
The document is an agenda for a security session presentation by Splunk. It includes an introduction to Splunk for security use cases, a demo of the Zeus security product, and a discussion of enterprise security and user behavior analytics solutions from Splunk. Key points include how Splunk can provide a unified platform for security data from multiple sources, detect advanced threats that are difficult to find, and help connect related security events to better understand security incidents.
Lifesaving AI and Javascript (JSConf Korea 2019)Jaeman An
1) The document discusses building lifesaving AI solutions in the medical field using JavaScript techniques. It describes 5 phases of building a medical AI product: data refining and model building, deploying backend/data pipelines, frontend design, real-world analysis and model fitting.
2) It provides details on using TensorFlow.js to run machine learning models in the browser for applications like interactive predictions and 3D visualizations.
3) The talk describes a case study of a company called VitalCare that is piloting an early warning system for acute diseases using these techniques to predict mortality risks and improve survival rates.
IRJET- IoT based Advanced Healthcare Architecture: A New ApproachIRJET Journal
This document proposes a new IoT-based advanced healthcare architecture with remote monitoring capabilities. The architecture includes new sensors for data collection, a fog computing layer for efficient storage and real-time analysis, and disease prediction and location tracking features. Sensors continuously generate large amounts of heterogeneous data that is analyzed using machine learning algorithms to predict health conditions. Doctors and authorized users can monitor patients' health data through a website or mobile application. The system aims to improve healthcare quality by enabling real-time remote health monitoring, analysis, and automatic control of home appliances based on patients' needs.
The Quality “Logs”-Jam: Why Alerting for Cybersecurity is Awash with False Po...Mark Underwood
What happens when the (Observe) Plan-Do-Check-Adjust cycle is undermined by lapses in data integrity? Observations are questioned. Plans may be ill-conceived. Actions may be undertaken that undermine rather than enhance. “Checks” can fail. Adjustments may be guesswork. In cybersecurity, the results of poor data integrity can be expensive outages, ransom requests, breaches, fines -- even bankruptcy (think Cambridge Analytica). But data integrity issues take many forms, ranging from benign to malicious. The full range of these issues is surveyed from a cybersecurity perspective, where logs and alerts are critical for defenders -- as well as quality engineers . Techniques borrowed from model-based systems engineering and ontology AI to are identified that can mitigate these deleterious effects on PDCA.
How to Use Open Source Technologies in Safety-critical Digital Health Applica...Shahid Shah
Presented at 3rd Annual Open Source EHR Summit - Key Takeaways:
* Outcomes driven care (vs. fees for service or volume driven care) is in our future
* Because outcomes now matter more than ever, open source digital health solutions are even more important
* There are new realities of patient populations driving open source even faster
* How to use open source reliably and and securely in a safety-critical environment like medical devices
Include at least 250 words in your posting and at least 250 words inmaribethy2y
Include at least 250 words in your posting and at least 250 words in your reply. Indicate at least one source or reference in your original post. Please see syllabus for details on submission requirements.
Module 1 Discussion Question
Search "scholar.google.com" for a company, school, or person that has been the target of a network
or system intrusion? What information was targeted? Was the attack successful? If so, what changes
were made to ensure that this vulnerability was controlled? If not, what mechanisms were in-place to protect against the intrusion.
Reply-1(Shravan)
Introduction:
Interruption location frameworks (IDSs) are programming or equipment frameworks that robotize the way toward observing the occasions happening in a PC framework or system, examining them for indications of security issues. As system assaults have expanded in number and seriousness in the course of recent years, interruption recognition frameworks have turned into an essential expansion to the security foundation of generally associations. This direction archive is planned as a preliminary in interruption recognition, created for the individuals who need to comprehend what security objectives interruption location components serve, how to choose and design interruption discovery frameworks for their particular framework and system situations, how to deal with the yield of interruption identification frameworks, and how to incorporate interruption recognition capacities with whatever remains of the authoritative security foundation. References to other data sources are likewise accommodated the peruse who requires particular or more point by point guidance on particular interruption identification issues.
In the most recent years there has been an expanding enthusiasm for the security of process control and SCADA frameworks. Moreover, ongoing PC assaults, for example, the Stunt worm, host appeared there are gatherings with the inspiration and assets to viably assault control frameworks.
While past work has proposed new security components for control frameworks, few of them have investigated new and in a general sense distinctive research issues for anchoring control frameworks when contrasted with anchoring conventional data innovation (IT) frameworks. Specifically, the complexity of new malware assaulting control frameworks - malware including zero-days assaults, rootkits made for control frameworks, and programming marked by confided in declaration specialists - has demonstrated that it is exceptionally hard to avert and identify these assaults dependent on IT framework data.
In this paper we demonstrate how, by joining information of the physical framework under control, we can distinguish PC assaults that change the conduct of the focused on control framework. By utilizing information of the physical framework we can center around the last goal of the assault, and not on the specific instruments of how vulnerabilities are misused, and how ...
Securing Sensitive Data in Your Hybrid CloudRightScale
The document discusses data security concerns in the cloud and how RightScale and Trend Micro SecureCloud address them. RightScale ensures systems are securely configured and updated to prevent exposures. SecureCloud provides policy-based encryption of data at rest, in transit, and in process through integrated key management. A demo showed how ServerTemplates in RightScale can be used to consistently deploy encrypted environments across clouds.
Top Cited Paper - The International Journal of Network Security & Its Applica...IJNSA Journal
The International Journal of Network Security & Its Applications (IJNSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the computer Network Security & its applications. The journal focuses on all technical and practical aspects of security and its applications for wired and wireless networks. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern security threats and countermeasures, and establishing new collaborations in these areas.
IRJET- Windows Log Investigator System for Faster Root Cause Detection of a D...IRJET Journal
This document describes a Windows Log Investigator System that was created to help developers more easily detect the root cause of defects. The system uses a log analysis algorithm and backtracking to determine the type of defect and possible solutions. It has a graphical user interface built with C# and WPF to provide an interactive experience for analyzing logs. The system aims to significantly reduce the difficulties faced by developers in solving defects.
Security Considerations in Process Control and SCADA Environmentsamiable_indian
The document discusses security considerations for process control and SCADA environments. It outlines that security risks increase with technological advances and connectivity. The Department of Homeland Security believes critical infrastructure could be targeted. The document provides guidance on establishing security programs, including risk assessment, policies and procedures, secure network architectures, and recommendations for encryption and secure communications.
The document discusses security assessments and threat modeling for software applications. It provides an overview of the current state of the software industry and common security issues. It then describes the process for conducting a threat modeling session, including identifying security requirements, understanding the application architecture, identifying potential threats, and determining existing countermeasures and vulnerabilities. Conducting threat modeling helps prioritize testing and inform secure development practices.
Overall Security Process Review CISC 6621Agend.docxkarlhennesey
Overall Security Process Review
CISC 662
1
Agenda
Review of the following technologies and current products:
SIEM
CASB
EDR (Enterprise Detection and Response)
NGFW (Next Generation Firewalls)
Threat Intelligence
Summary of Term
SANS Technology Institute - Candidate for Master of Science Degree
What is a SIEM?
SIEM - Security Information Event Management
Logging and Event Aggregation
Network (router,switch,firewall,etc)
System (Server,workstation,etc)
Application (Web, DB )
Correlation Engine
2+ related events = higher alarm (1+1=3)
3
At first glance SIEM's appliances and software look like an event aggregator. While a SIEM has the advantage of aggregating logs what puts them apart from the event aggregator market are the correlation engines.
The correlation engines allow the ability to uncover threats/attacks across multiple related events which by themselves would not be a cause for alarm.
SIEM
4
What is a SIEM?
5
Security information and event management (SIEM) is the technology that can tie all your systems together and give you a comprehensive view of IT security.
IT security is typically a patchwork of technologies – firewalls, intrusion prevention, endpoint protection, threat intelligence and the like – that work together to protect an organization’s network and data from hackers and other threats. Tying all those disparate systems together is another challenge, however, and that’s where SIEM can help.
SIEM systems manage and make sense of security logs from all kinds of devices and carry out a range of functions, including spotting threats, preventing breaches before they occur, detecting breaches, and providing forensic information to determine how a security incident occurred as well as its possible impact.
Using SIEM
How do SIEM Products help the following Security concerns?
Countermeasures to detect attempts to infect internal system
Identification of infected systems trying to exfiltrate information
Mitigation of the impact of infected systems
Detection of outbound sensitive information ( DLP)
6
These questions are a core part of a companies overall security architecture. If a SIEM isn't providing answers or solutions to these questions what is it doing?
If you aren't using your SIEM to solve issues like these it may just be an expensive log aggregator/collection system sitting in your network collecting dust.
SIEM Advantages
Correlation of data from multiple systems and from different events detecting security and operational conditions
Anomaly detection by using a baseline of events over time to find deviations from expected or normal behavior
Comprehensive view into an environment based on event types, protocols, log sources, etc
APT (advanced persistent threat) protection through detection of protocol and application anomalies
Prioritization based on risk of threat to assets, staff can triage the most vulnerable targets
Alerting and monitoring on events of interest to escalate pri ...
The document discusses security session presented by Philipp Drieger. It begins with a safe harbor statement noting any forward-looking statements are based on current expectations and could differ from actual results. The agenda includes discussing Splunk for security, enterprise security, and Splunk user behavior analytics. It provides examples of how Splunk can be used to detect threats like fraud and advanced persistent threats by analyzing machine data from various sources. It also discusses how threat intelligence can be incorporated using STIX/TAXII standards and open IOCs. Customer examples show how Nasdaq and Cisco have replaced their SIEMs with Splunk to gain better scalability and flexibility.
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👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
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This talk covers:
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This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
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.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
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High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
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.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
6. What happened in 150 years?
Microbiology
ECG
X-Ray
Radiotherapy
Blood transfer
Magnetic resonance imaging
CT scan
ECG
7. Correlate result from
various micro observations.
Wouldn’t have been
possible a century ago.
And now medicine students
have statistical classes.
Algorithm to evaluate a
macrocytic anemia
8. This progress came from medicine
ability to collect data, to exploit it, and to
make it usable by practitioners.
11. Use data from everywhere (and not only left)
Observability
platform
Feedback Feedback
12. What do we actually need?
● Security resources are scarce
● They are spread thin
○ monitor production
○ help developers design secure systems
○ keep up with the business
● The systems are becoming more complex
→ security products have to make their life much easier and
help them focus on what matters
13. 100%
Only requests
matching an attack
pattern
1%
Only attacks
matching an
existing route
.5%
Only attacks
targeting
what the
code does
.05%
Kill false positives.
Resurface threats.
By compounding security
events with contextual
information.
Only
attacks
on non
edge
services
.001%
100% API traffic
14. Query the framework
The attack is calling a real API endpoint
jb@datadoghq.com
6801-8226415-321-74
Find associated user
18. request_params {
org_id 123 AND check = true UNION SELECT
email, pwd_hash, seed FROM users
}
NoSQL injection stealing user credentials
If user parameters are:
1. matching the database query
2. changing the query shape
That’s a proof of a NoSQL injection.
19. Let’s take this to the next level.
Instead of a dozen data points, hundreds
can be automatically gathered from your
production environment.
23. True view about the
security context of an
API.
Combined with
statistical analysis,
provides the most
complete view in order
to monitor production
systems.
29. Takeaways
Security evolves, but we need more data and more tools.
Don’t only shift left: shift everywhere.
Leverage observability from your engineering organization to
improve security monitoring:
● Production
● Software development lifecycle: tests, releases, designs
Correlate data using rich and coherent sources (rather than flat
and disparate)