SIEM (security information and event management) technology collects and analyzes log and event data from across an organization's IT infrastructure to provide visibility into security threats and other events. EDR (endpoint detection and response) technology focuses specifically on monitoring endpoints like desktops and servers to detect and respond to threats. Using both SIEM and EDR provides a more complete picture of an organization's security posture and cybersecurity threats. Together, they can improve threat detection, response, investigation and remediation compared to using either technology alone. Leading security service providers use both SIEM and EDR solutions to more effectively protect their clients.
The document discusses the benefits of a modern security information and event management (SIEM) solution. It outlines that legacy SIEMs are outdated and cannot keep up with today's evolving security threats. A modern SIEM provides real-time security monitoring, cloud security, incident response capabilities, threat intelligence, advanced threat detection, and helps with compliance. It examines the key capabilities a modern SIEM should have, such as collecting security data, analyzing data to detect threats, investigating incidents, reporting, and storing logs.
One of the major challenges when using security monitoring and analytics tools is how to deal with the high number of alerts and false positives. Even when the most straightforward policies are applied, SIEMs end up alerting on far too many incidents response that are neither malicious nor urgent.
Visit - https://siemplify.co
The document discusses how security operations centers are adopting machine learning and artificial intelligence technologies to automate cybersecurity tasks like detecting threats, analyzing vast amounts of data, and responding quickly to incidents. It provides examples of how Oracle's cloud-based cybersecurity applications incorporate machine learning algorithms to continuously learn normal behavior, detect anomalies, and automate responses. The document advocates for adopting an intelligent, adaptive security framework that relies on AI and machine learning rather than static rules to manage hybrid cloud environments.
SOC and SIEM systems can help organizations detect and respond to security incidents and threats in a timely manner. A SOC acts as a security operations center to monitor, analyze, and respond to cybersecurity incidents. SIEM provides real-time analysis of security alerts and events to help identify potential threats. Implementing SOC and SIEM solutions can improve an organization's security posture through early threat detection, compliance with regulations, and reduced breach impact.
This document discusses the challenges facing modern security operations centers (SOCs) and how IBM Security QRadar XDR can help address them. It notes that cybersecurity has become more difficult due to factors like remote work and cloud adoption. Traditional approaches have limitations like missing new attacks, high costs and complexity, and poor visibility. IBM Security QRadar XDR is presented as an open, connected solution that can help by eliminating tool silos, automating work, and simplifying workflows. It integrates existing tools through open standards and allows threat hunting, investigation, and response across data sources.
Exploration Draft Document- CEM Machine Learning & AI Project 2018Leslie McFarlin
Draft document to present findings of exploratory work on the incorporation of machine learning and AI into an existing data security product. The project was abandoned due to conflicting work done by product management.
The document discusses Security Operations Centers (SOCs) and Computer Emergency Response Teams (CERTs). It outlines that SOCs centralize security functions like incident monitoring and response, while CERTs handle computer security incidents. Medium to large organizations need SOCs and CERTs to defend against increasing cyber threats. Building a sectorial CERT involves gaining awareness, experts from relevant businesses, and finding the best business model. Effective SOCs require the right security tools as well as skilled analysts to manage incidents and investigations. Costs include tools, training, maintenance, and personnel.
The document discusses the benefits of a modern security information and event management (SIEM) solution. It outlines that legacy SIEMs are outdated and cannot keep up with today's evolving security threats. A modern SIEM provides real-time security monitoring, cloud security, incident response capabilities, threat intelligence, advanced threat detection, and helps with compliance. It examines the key capabilities a modern SIEM should have, such as collecting security data, analyzing data to detect threats, investigating incidents, reporting, and storing logs.
One of the major challenges when using security monitoring and analytics tools is how to deal with the high number of alerts and false positives. Even when the most straightforward policies are applied, SIEMs end up alerting on far too many incidents response that are neither malicious nor urgent.
Visit - https://siemplify.co
The document discusses how security operations centers are adopting machine learning and artificial intelligence technologies to automate cybersecurity tasks like detecting threats, analyzing vast amounts of data, and responding quickly to incidents. It provides examples of how Oracle's cloud-based cybersecurity applications incorporate machine learning algorithms to continuously learn normal behavior, detect anomalies, and automate responses. The document advocates for adopting an intelligent, adaptive security framework that relies on AI and machine learning rather than static rules to manage hybrid cloud environments.
SOC and SIEM systems can help organizations detect and respond to security incidents and threats in a timely manner. A SOC acts as a security operations center to monitor, analyze, and respond to cybersecurity incidents. SIEM provides real-time analysis of security alerts and events to help identify potential threats. Implementing SOC and SIEM solutions can improve an organization's security posture through early threat detection, compliance with regulations, and reduced breach impact.
This document discusses the challenges facing modern security operations centers (SOCs) and how IBM Security QRadar XDR can help address them. It notes that cybersecurity has become more difficult due to factors like remote work and cloud adoption. Traditional approaches have limitations like missing new attacks, high costs and complexity, and poor visibility. IBM Security QRadar XDR is presented as an open, connected solution that can help by eliminating tool silos, automating work, and simplifying workflows. It integrates existing tools through open standards and allows threat hunting, investigation, and response across data sources.
Exploration Draft Document- CEM Machine Learning & AI Project 2018Leslie McFarlin
Draft document to present findings of exploratory work on the incorporation of machine learning and AI into an existing data security product. The project was abandoned due to conflicting work done by product management.
The document discusses Security Operations Centers (SOCs) and Computer Emergency Response Teams (CERTs). It outlines that SOCs centralize security functions like incident monitoring and response, while CERTs handle computer security incidents. Medium to large organizations need SOCs and CERTs to defend against increasing cyber threats. Building a sectorial CERT involves gaining awareness, experts from relevant businesses, and finding the best business model. Effective SOCs require the right security tools as well as skilled analysts to manage incidents and investigations. Costs include tools, training, maintenance, and personnel.
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
Digitalization has transformed the way business’s function. With the evolution of technologies, attackers are also evolving. They are finding innovative and more invasive ways to attack organizations. Due to this, the organization's security operations center (SOC) is expected to be
more agile and dynamic in detecting and responding to attacks. Most organizations' security operations and incident response teams are overworked due to high volumes of security threats and alerts that they need to manage every day.
Seceon's aiXDR_ Automating Cybersecurity Threat Detection in 2023 - Seceon.pptxCompanySeceon
Seceon aiXDR solution is built upon its Open Threat Management (OTM) Platform enabling organizations to detect both signature-based malware with precedence and zero-day threats without precedence, quickly and effectively, thereby thwarting the kill chain and minimizing the extent of damage across business and enterprise environments.
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 ...
With cyber-attacks on the rise, companies are transforming their approach to security monitoring from reactive towards intelligence-driven security. We can help you empower your security teams, and your business, to perform better in the digital world with a next-generation Security Information and Event Management (SIEM) platform and Security Operations Center (SOC)
SIEM (Security Information and Event Management) technology provides real-time analysis of security alerts generated across an organization's network and applications. It involves collecting data from various sources, analyzing the data to discover threats, and pinpointing security breaches to enable investigation. SIEM functionality includes log management, data aggregation, correlation, alerting, dashboards, compliance, retention, and forensic analysis. However, SIEM tools require regular tuning and rule management to differentiate anomalous and normal activity. SOAR (Security Orchestration, Automation and Response) technologies help address SIEM limitations by integrating more data sources, providing context through automation and playbooks, and offering a single dashboard for security response. Benefits of SOAR include faster
SOAR Cybersecurity is constantly evolving and changing, with the rapid influx of latest technologies, hacking methodologies, and advanced software. https://www.securaa.io/soar-cybersecurity/
SIEM (Security Information and Event Management) technology provides real-time analysis of security alerts from various sources like network devices, servers, etc. It has four main components - SEM (Security Event Management), SIM (Security Information Management), data collection, and data analysis. SOAR (Security Orchestration, Automation and Response) was developed to address limitations of SIEM tools like needing regular tuning and dedicated staff. SOAR technologies enable automated response to security events by integrating data from various sources, building response processes using playbooks, and providing a single dashboard for security response. Key benefits of SOAR include faster incident detection/response, better threat context, simplified management, and boosting analyst productivity through automation.
It’s a fair question and one that is compounded by the convergence we see happening across many categories within cybersecurity. Security operations teams have a broad spectrum of choices from pure-play security orchestration and automation platforms to traditional SIEMs that are adding orchestration capabilities.
Visit - https://siemplify.co/blog/do-i-need-a-siem-if-i-have-soar/
Cybersecurity leaders guide to xdr for businessfilin5
This comprehensive guide aims to provide a clear understanding of XDR,
its significance in the cybersecurity market, its key features, and the
benefits it offers to organizations. Whether you are evaluating XDR
solutions or seeking to enhance your security posture, this guide will equip
you with the knowledge needed to make informed decisions and
maximize the value of XDR for your organization.
An overview of Enterprise Security Architecture (ESA), with a brief description of its key elements: TRA/PIA, Threat Modeling, Security Controls, Risk Assessment and Security Debt.
Optimizing cybersecurity incident response decisions using deep reinforcemen...IJECEIAES
The main purpose of this paper is to explore and investigate the role of deep reinforcement learning (DRL) in optimizing the post-alert incident response process in security incident and event management (SIEM) systems. Although machine learning is used at multiple levels of SIEM systems, the last mile decision process is often ignored. Few papers reported efforts regarding the use of DRL to improve the post-alert decision and incident response processes. All the reported efforts applied only shallow (traditional) machine learning approaches to solve the problem. This paper explores the possibility of solving the problem using DRL approaches. The main attraction of DRL models is their ability to make accurate decisions based on live streams of data without the need for prior training, and they proved to be very successful in other fields of applications. Using standard datasets, a number of experiments have been conducted using different DRL configurations The results showed that DRL models can provide highly accurate decisions without the need for prior training.
The document provides details about an internship project undertaken by Firoz Kumar at Securonix India Private Limited from November 2021 to February 2022. It includes an acknowledgement, list of figures, abbreviations and a certificate signed by Firoz Kumar. The project involved working on playbooks, integrations and API testing for Securonix's SOAR (Security Orchestration Automation and Response) platform.
The document provides details about an internship project undertaken by Firoz Kumar at Securonix India Private Limited from November 2021 to February 2022. It includes an overview of Securonix as a company that provides next-generation SIEM and security analytics solutions. The project involved working on playbooks, integrations, and API testing for Securonix's SOAR platform. Firoz Kumar thanks his supervisors and mentors for their guidance during the internship.
The security immune system document discusses an integrated approach to cybersecurity using the metaphor of the human immune system. It describes how the IBM security immune system works in an integrated manner across security planning, operations, and information protection. The summary provides an overview of the key areas covered in the document:
1) The IBM security immune system takes an integrated approach similar to the human immune system, allowing security components to work together across planning, response, and protection.
2) It covers security transformation services, security operations and response, and information risk and protection.
3) The goal is to provide intelligence, visibility and insights across the entire security system to prevent, detect and respond to threats.
A Buyers Guide to Investing in Endpoint Detection and Response for Enterprise...Kaspersky
A key business goal of any organization is to maintain the constant availability of data and systems that can be trusted for decision-making purposes. The evolving threat landscape has resulted in increasing focus, right to board level, on cybersecurity. IT operational and security teams should demonstrate a comprehensive, cohesive approach in their response to security incidents and data breaches.
Today’s networks are larger and more complex than ever before, and
protecting them against malicious activity is a never-ending task.
Organizations seeking to safeguard their intellectual property, protect
their customer identities and avoid business disruptions need to do more
than monitor logs and network flow data; they need to leverage advanced
tools to detect these activities in a consumable manner.
The document discusses security operation centers (SOCs) and their functions. It describes what a SOC is and its main purpose of monitoring, preventing, detecting, investigating and responding to cyber threats. It outlines the typical roles in a SOC including tier 1, 2 and 3 analysts and security engineers. It also discusses the common tools, skills needed for each role, and types of SOCs such as dedicated, distributed, multifunctional and virtual SOCs.
The module explains that a Security Operations Center (SOC) uses people, processes, and technologies to defend against cyber threats. SOCs assign roles across multiple tiers, with tier 1 analysts monitoring alerts and tier 3 experts conducting in-depth investigations. A SOC relies on security information and event management (SIEM) systems to collect and analyze data, while security orchestration, automation and response (SOAR) helps automate workflows. Key performance indicators like mean time to detect threats are used to measure a SOC's effectiveness. The module also discusses qualifications and experience needed for a career in cybersecurity operations.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
Digitalization has transformed the way business’s function. With the evolution of technologies, attackers are also evolving. They are finding innovative and more invasive ways to attack organizations. Due to this, the organization's security operations center (SOC) is expected to be
more agile and dynamic in detecting and responding to attacks. Most organizations' security operations and incident response teams are overworked due to high volumes of security threats and alerts that they need to manage every day.
Seceon's aiXDR_ Automating Cybersecurity Threat Detection in 2023 - Seceon.pptxCompanySeceon
Seceon aiXDR solution is built upon its Open Threat Management (OTM) Platform enabling organizations to detect both signature-based malware with precedence and zero-day threats without precedence, quickly and effectively, thereby thwarting the kill chain and minimizing the extent of damage across business and enterprise environments.
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 ...
With cyber-attacks on the rise, companies are transforming their approach to security monitoring from reactive towards intelligence-driven security. We can help you empower your security teams, and your business, to perform better in the digital world with a next-generation Security Information and Event Management (SIEM) platform and Security Operations Center (SOC)
SIEM (Security Information and Event Management) technology provides real-time analysis of security alerts generated across an organization's network and applications. It involves collecting data from various sources, analyzing the data to discover threats, and pinpointing security breaches to enable investigation. SIEM functionality includes log management, data aggregation, correlation, alerting, dashboards, compliance, retention, and forensic analysis. However, SIEM tools require regular tuning and rule management to differentiate anomalous and normal activity. SOAR (Security Orchestration, Automation and Response) technologies help address SIEM limitations by integrating more data sources, providing context through automation and playbooks, and offering a single dashboard for security response. Benefits of SOAR include faster
SOAR Cybersecurity is constantly evolving and changing, with the rapid influx of latest technologies, hacking methodologies, and advanced software. https://www.securaa.io/soar-cybersecurity/
SIEM (Security Information and Event Management) technology provides real-time analysis of security alerts from various sources like network devices, servers, etc. It has four main components - SEM (Security Event Management), SIM (Security Information Management), data collection, and data analysis. SOAR (Security Orchestration, Automation and Response) was developed to address limitations of SIEM tools like needing regular tuning and dedicated staff. SOAR technologies enable automated response to security events by integrating data from various sources, building response processes using playbooks, and providing a single dashboard for security response. Key benefits of SOAR include faster incident detection/response, better threat context, simplified management, and boosting analyst productivity through automation.
It’s a fair question and one that is compounded by the convergence we see happening across many categories within cybersecurity. Security operations teams have a broad spectrum of choices from pure-play security orchestration and automation platforms to traditional SIEMs that are adding orchestration capabilities.
Visit - https://siemplify.co/blog/do-i-need-a-siem-if-i-have-soar/
Cybersecurity leaders guide to xdr for businessfilin5
This comprehensive guide aims to provide a clear understanding of XDR,
its significance in the cybersecurity market, its key features, and the
benefits it offers to organizations. Whether you are evaluating XDR
solutions or seeking to enhance your security posture, this guide will equip
you with the knowledge needed to make informed decisions and
maximize the value of XDR for your organization.
An overview of Enterprise Security Architecture (ESA), with a brief description of its key elements: TRA/PIA, Threat Modeling, Security Controls, Risk Assessment and Security Debt.
Optimizing cybersecurity incident response decisions using deep reinforcemen...IJECEIAES
The main purpose of this paper is to explore and investigate the role of deep reinforcement learning (DRL) in optimizing the post-alert incident response process in security incident and event management (SIEM) systems. Although machine learning is used at multiple levels of SIEM systems, the last mile decision process is often ignored. Few papers reported efforts regarding the use of DRL to improve the post-alert decision and incident response processes. All the reported efforts applied only shallow (traditional) machine learning approaches to solve the problem. This paper explores the possibility of solving the problem using DRL approaches. The main attraction of DRL models is their ability to make accurate decisions based on live streams of data without the need for prior training, and they proved to be very successful in other fields of applications. Using standard datasets, a number of experiments have been conducted using different DRL configurations The results showed that DRL models can provide highly accurate decisions without the need for prior training.
The document provides details about an internship project undertaken by Firoz Kumar at Securonix India Private Limited from November 2021 to February 2022. It includes an acknowledgement, list of figures, abbreviations and a certificate signed by Firoz Kumar. The project involved working on playbooks, integrations and API testing for Securonix's SOAR (Security Orchestration Automation and Response) platform.
The document provides details about an internship project undertaken by Firoz Kumar at Securonix India Private Limited from November 2021 to February 2022. It includes an overview of Securonix as a company that provides next-generation SIEM and security analytics solutions. The project involved working on playbooks, integrations, and API testing for Securonix's SOAR platform. Firoz Kumar thanks his supervisors and mentors for their guidance during the internship.
The security immune system document discusses an integrated approach to cybersecurity using the metaphor of the human immune system. It describes how the IBM security immune system works in an integrated manner across security planning, operations, and information protection. The summary provides an overview of the key areas covered in the document:
1) The IBM security immune system takes an integrated approach similar to the human immune system, allowing security components to work together across planning, response, and protection.
2) It covers security transformation services, security operations and response, and information risk and protection.
3) The goal is to provide intelligence, visibility and insights across the entire security system to prevent, detect and respond to threats.
A Buyers Guide to Investing in Endpoint Detection and Response for Enterprise...Kaspersky
A key business goal of any organization is to maintain the constant availability of data and systems that can be trusted for decision-making purposes. The evolving threat landscape has resulted in increasing focus, right to board level, on cybersecurity. IT operational and security teams should demonstrate a comprehensive, cohesive approach in their response to security incidents and data breaches.
Today’s networks are larger and more complex than ever before, and
protecting them against malicious activity is a never-ending task.
Organizations seeking to safeguard their intellectual property, protect
their customer identities and avoid business disruptions need to do more
than monitor logs and network flow data; they need to leverage advanced
tools to detect these activities in a consumable manner.
The document discusses security operation centers (SOCs) and their functions. It describes what a SOC is and its main purpose of monitoring, preventing, detecting, investigating and responding to cyber threats. It outlines the typical roles in a SOC including tier 1, 2 and 3 analysts and security engineers. It also discusses the common tools, skills needed for each role, and types of SOCs such as dedicated, distributed, multifunctional and virtual SOCs.
The module explains that a Security Operations Center (SOC) uses people, processes, and technologies to defend against cyber threats. SOCs assign roles across multiple tiers, with tier 1 analysts monitoring alerts and tier 3 experts conducting in-depth investigations. A SOC relies on security information and event management (SIEM) systems to collect and analyze data, while security orchestration, automation and response (SOAR) helps automate workflows. Key performance indicators like mean time to detect threats are used to measure a SOC's effectiveness. The module also discusses qualifications and experience needed for a career in cybersecurity operations.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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.
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.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
1. Advanced Cybersecurity
& Threat Protection
ConnectWise eBook Series
SIEM vs EDR:
Why Using Both Gives You a
More Complete Picture of
Cybersecurity Threats
2. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Table of Contents
Contents
Introduction............................................................................................................................................................3
Chapter 1: What is SIEM technology and how would you use it?.................................................4
Chapter 2: What is EDR technology and how would you use it?...................................................6
Chapter 3: A quick comparison of capabilities: SIEM vs. EDR.......................................................8
Chapter 4: How SIEM and EDR help TSPs protect clients more effectively.............................9
Chapter 5: Develop a more complete security picture with SIEM and EDR...........................10
3. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Introduction
<< Back to Table of Contents 3
SIEM and EDR are acronyms that get
kicked around a lot in discussions about
cybersecurity, but what do they really mean?
More important, what do these technologies
do—and do you need to have both in the
security technology stack your organization
relies on every day for protection?
You’ll get answers to these questions and more in this
eBook. It offers a quick primer on SIEM and EDR to help
demystify these terms. It also highlights the differences
between—and underscores the value of—these
different but complementary security controls in the
following sections.
Introduction
4. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 1
<< Back to Table of Contents 4
A security information and event management
(SIEM) system collects log and event data that
an organization’s network devices, systems, and
applications and services generate. It then brings
all that information together into one platform. A
SIEM provides security teams with greater visibility
into what’s happening with all the elements in the IT
ecosystem through a“single pane of glass.”
Technicians use automation to run the data in the
SIEM against various prebuilt security rules. They can
swiftly navigate through all the“white noise”from
these various data sources—which include everything
from web servers to hypervisors—to identify real and
actionable events.
The SIEM serves as a critical layer in an organization’s
technology stack because it amplifies threat detection.
With a SIEM, you can learn very quickly if a malicious
actor has breached your traditional perimeter defense,
so you can move fast to respond.
SIEM: An old tool made better
by the cloud
SIEM technology is by no means new; it’s been around
since 2000. And over time, it’s become a fundamental
tool for a Security Operations Center (SOC) to provide
24/7/365 monitoring and logging of security event
alerts. SIEM helps security teams focus on identifying,
analyzing, and responding to the threats and other
alerts that matter most.
Today’s next-generation, cloud-based SIEMs make
it easier for technology service providers (TSPs) to
provide SIEM capabilities—including visibility—to
their clients. When you work with a SOC using a
modern SIEM solution, you can typically get full access
to view your alert data. And your team can work right
alongside the technicians in the SOC to identify and
address critical issues as quickly as possible.
Chapter 1: What is SIEM technology
and how would you use it?
5. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 1
<< Back to Table of Contents 5
What are some use cases for SIEM technology?
An organization that wants full visibility into its entire IT infrastructure will adopt a SIEM platform,
or it will work with a TSP that provides SIEM capabilities as part of its cybersecurity offerings. With
advanced SIEM technology, security teams can:
• Conduct strategic detection: Today’s SIEM
solutions can provide real-time visibility into
security threats, like malware or suspicious
network traffic, impacting network devices,
systems, and applications and services. Security
teams can use SIEM technology to stay focused
on the organization’s most critical IT assets and
prioritize the response to any alerts related to
them.
• Analyze event data: Security teams can use SIEMs
to analyze event data in real time; this increases
the ability to detect threats early, including
advanced threats and targeted attacks. The“single
pane of glass”view a SIEM provides also helps
teams to hunt proactively for threats across the
entire organization and shift away from a reactive
approach to cybersecurity
• Enrich logs: Event logs from security controls like
endpoint solutions, web filters and firewalls, as
well as from other devices like routers and from
applications, offer a wealth of information about
potential threats. But they need to be enriched—
that is, given more context—to be understood.
An example of this process is enriching a log that
contains IP addresses with relevant geolocation
data for those addresses. A leading SIEM platform
can be integrated with other systems using APIs to
collect and correlate event and non-event data for
enriching logs.
• Meet compliance requirements: Real-time
correlation and analysis of data, plus data
retention and report automation, make it
easier for businesses to stay in compliance with
mandates like the Health Insurance Portability
and Accountability Act (HIPAA) and Payment Card
Industry Data Security Standard (PCI DSS).
• Accept data from many sources in the network:
Because a SIEM has access to multiple and diverse
sources of data in an organization’s IT ecosystem,
and it offers visibility into event data through a
single pane of glass, security teams can gain a
much better picture of what their various security
tools are“seeing”and reacting to. That gives them
more insight into potential threats, including their
severity and what they’re targeting in the network.
6. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 2
<< Back to Table of Contents 6
As its name suggests, endpoint detection and
response (EDR) solutions are endpoint-focused
security technology. Endpoints essentially served as
gateways to a network. They include hardware devices
such as desktops, smartphones, Internet of Things
(IoT) devices, and servers—and they are all prone
to vulnerabilities. Malicious actors target endpoints
relentlessly in hopes of infiltrating the network.
Like SIEM technology, EDR technology isn’t new—
although the term“endpoint detection and response”
was only coined in the past decade.1
EDR technology,
also like SIEM, can serve as a critical layer in an
organization’s security technology stack. But EDR
solutions don’t look at the entire network like SIEM
tools do. An EDR solution monitors and collects data
about endpoint activity and analyzes it to determine
what activity is normal—or not.
Many EDR tools are agent-based, meaning they require
the installation of software or a sensor on an endpoint
device to enable monitoring and data gathering. This
software is what allows EDR tools to provide advanced
and comprehensive threat detection and response.
AI and ML accelerate threat
identification and response
Modern EDR solutions are cloud-based and use
artificial intelligence (AI) and machine learning (ML)
for behavioral analysis and threat detection. They can
continuously monitor each running process and map
it to malicious behavior and quickly identify the root
causes for those behaviors by diagnosing corrupt
source processes and system settings. Leading EDR
tools can also recognize virus and malware variants.
When an AI-driven EDR platform identifies a threat,
it can automatically respond to block, remove, or
contain the threat and notify security staff so they can
investigate the threat further, if needed. Leading EDR
tools also provide forensics and analytics capabilities
that allow security teams to research identified threats
and even search for suspicious activities through threat
hunting.
Today’s cloud-based EDR tools are easy to integrate
with other systems, manage, and keep up to date.
Because endpoints are under constant attack by an
ever-changing array of threats with varying degrees
of severity, many organizations outsource the work of
triaging EDR alerts and remediation to a SOC provider,
rather than burdening their IT personnel or hiring
more security talent.
Chapter 2: What is EDR technology
and how would you use it?
1
“Named: Endpoint Threat Detection & Response,” by Anton Chuvakin, Gartner, July 26, 2014:
https://blogs.gartner.com/anton-chuvakin/2013/07/26/named-endpoint-threat-detection-response/.
7. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 2
<< Back to Table of Contents 7
What are some use cases for EDR technology?
An organization that wants to detect and assess suspicious activity on the endpoints
that can access its networks will implement an EDR solution, or work with a TSP that provides
EDR capabilities as part of its cybersecurity offerings. With advanced EDR technology, security
teams can:
• Benefit from vendor-driven analysis: An EDR
platform can collect data from endpoints and
transmit it back to the vendor for analysis. If the
data is determined to be a threat, the vendor
will block the threat and create an alert. Security
administrators can typically view these alerts in the
dashboard for the EDR solution and decide how
to respond. Importantly, vendors can also identify
false positives, so security teams don’t waste time
chasing threats that aren’t real.
• Use rollback capabilities: A modern EDR tool can
provide advanced visibility into devices. And in the
event of a threat, they can quickly roll back files to
previous safe versions through tracking changes
in the devices and restoring them to an acceptable
risk state. Rollbacks remediate the damage done to
endpoints by attacks from threats like ransomware.
• Query endpoint data quickly: Security teams
can swiftly search information collected by the
EDR platform to understand the risk and scope of
threats. And they can search the EDR database for
indicators of compromise. They can also directly
query endpoints in real time.
• Contain threats at the endpoint: EDR tools use
event and behavior analysis to detect threats,
whether those threats are known or zero-
day vulnerabilities. If an event is found to be
suspicious—either immediately or at a later time—
the EDR platform will stop running processes to
contain the threat, block further events, and alert
the security team. This quick action at the endpoint
level is critical for containing fast-moving threats
like ransomware.
• Control and monitor device use: Advanced EDR
platforms allow organizations to control what the
devices connected to their network—including
USB and wireless Bluetooth devices—can access
while on the network. They can also monitor how
those devices are being used while they are active
in the IT environment.
8. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 3
<< Back to Table of Contents 8
Chapter 3: A quick comparison of
capabilities: SIEM vs. EDR
SIEM
• Sees the“whole picture”of a network
• Detects events based on data input
• Provides some automatic response,
depending on integrations
• Offers massive detection capabilities
• Useful for analysis and compliance
• Not typically used for threat prevention
EDR
• Focuses only on endpoints
• Detects events on endpoints
(e.g., file written, file executed)
• Responds to threats either
automatically or with security team
intervention
• Features built-in machine learning and
behavioral analysis capabilities
• Allows cybersecurity experts to
proactively threat hunt across
endpoint devices
• Protects endpoints even if they’re not
on the network
9. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 4
<< Back to Table of Contents 9
Leading TSPs know that prevention isn’t enough
to stop all threats. For example, EDR solutions are
limited in their ability to detect and deflect highly
sophisticated fileless malware. This malware is
dangerous, as it exploits vulnerabilities that can give
attackers administrative control and the ability to
gather data to use in future attacks—like a highly
targeted phishing attack.
The fileless malware threat is just one reason more TSPs
are starting to use advanced SIEM and EDR platforms
together. Adding these layers of advanced defenses
to their security technology stack help TSPs develop a
more complete picture of the threats targeting their
clients—in real time.
With EDR, TSPs can detect, block, contain, and
remediate the threats targeting their clients’endpoints
faster. They can also analyze and investigate these
threats, and if needed, roll back files to“safe”versions.
And SIEM technology helps TSPs protect their clients
more effectively by providing full visibility into an
organization’s IT infrastructure and collecting data
from multiple sources for analysis. That helps security
teams catch events when prevention measures fail.
Also, companies that need to meet compliance
and regulatory mandates can benefit from the log
capture, retention, and review capabilities in a modern
SIEM platform. Clients with highly valuable data,
like sensitive financial information and intellectual
property, are better protected, too, because SIEM
technology can highlight unusual activity related to
the systems and devices storing that data.
The value for companies working with a TSP that
provides these additional layers of security—aside
from being better protected from the latest threats and
malicious actors—is the ability to leave this defensive
work in the hands of experienced experts who can
focus on alerts and threats 24/7/365. They can keep
their own security resources focused on high-value
work. Also, they don’t need to worry about finding,
hiring, and retaining more security talent to help them
make sense of the constant“white noise”coming from
SIEM and EDR tools.
Chapter 4: How SIEM and EDR help
TSPs protect clients more effectively
10. SIEM vs EDR: Why Using Both Gives You a More
Complete Picture of Cybersecurity Threats
Chapter 5
<< Back to Table of Contents
Updated: 05/27/21 ConnectWise.com
10
SIEM and EDR are two technologies that, when used
together, can help organizations gain a more complete
picture on the state of their security. One technology is
not a substitute for the other; think of SIEM and EDR as
complementary controls.
They are also an important part of an organization’s
overall security strategy, which includes employing an
array of other security controls (technological, physical
and logical), adopting best practices and leading
frameworks, implementing and enforcing effective
policies, creating and testing business continuity
management plans, providing relevant end user
training, and much more.
Even though a SIEM solution can cover for instances
when threat prevention fails, a well-designed EDR
platform should still outperform a SIEM tool in
prevention. EDR technology should also make it
simpler for security teams to react to events.
Likewise, a well-designed SIEM platform should
outperform an EDR tool in detection. And it should
make it easier for security teams to sift through
multiple data sources. Additionally, it should support
log enrichment and provide more context about
potential threats.
A case for complementary tools
So, what can happen when you don’t have EDR and
SIEM tools in your technology stack, working together?
Consider the following real-world example of a missed
opportunity to contain a threat fast:
An organization’s web servers were hit with web
shells—malware that enables remote access and
control—leading to defacements.
The organization had an EDR platform. But because
that tool can only detect when something happens
on the endpoint, like the execution of a file, it only
detected the threat and triggered an alert after the
attacker tried to escape the website.
If the organization had an advanced SIEM platform
in place, its security team could have detected the
malicious traffic as soon as the initial exploit occurred
and moved quickly to reduce its impact.
Chapter 5: Develop a more complete
security picture with SIEM and EDR