This paper covers several of the security event correlation methods, utilized by Security Information Management (SIM) solutions for better attack and misuse detection. We describe these correlation methods, show their corresponding advantages and disadvantages and explain how they work together for maximum security.
LTS Secure Security Information and Event Management (SIEM), is a technology that provides real-time analysis of security alerts generated by network hardware and applications.
Building a Next-Generation Security Operations Center (SOC)Sqrrl
So, you need to build a Security Operations Center (SOC)? What does that mean? What does the modern SOC need to do? Learn from Dr. Terry Brugger, who has been doing information security work for over 15 years, including building out a SOC for a large Federal agency and consulting for numerous large enterprises on their security operations.
Watch the presentation with audio here: http://info.sqrrl.com/sqrrl-october-webinar-next-generation-soc
LTS Secure Security Information and Event Management (SIEM), is a technology that provides real-time analysis of security alerts generated by network hardware and applications.
Building a Next-Generation Security Operations Center (SOC)Sqrrl
So, you need to build a Security Operations Center (SOC)? What does that mean? What does the modern SOC need to do? Learn from Dr. Terry Brugger, who has been doing information security work for over 15 years, including building out a SOC for a large Federal agency and consulting for numerous large enterprises on their security operations.
Watch the presentation with audio here: http://info.sqrrl.com/sqrrl-october-webinar-next-generation-soc
Security information and event management (SIEMS) tools provide a robust collection of data sources that can help companies take a more proactive approach to preventing threats and breaches.
However, implementing a SIEM often brings the challenges of a lengthy implementation, costly investment and the need for skilled security analysts to maintain it. Also, many SIEMs have been used in on-premise data centers, so what steps will you need to take if you want your SIEM to move with your data into the cloud?
Jonathan Pollet and Mark Heard of Red Tiger Security at S4x15 OTDay.
The NIST Cybersecurity Framework (CSF) has been out for a year now, and some owner/operators have begun to use it to help create an ICS cyber security program. The Red Tiger Security team discusses what the CSF is and there experience in using it with real world clients.
Security Information and Event Management (SIEM)hardik soni
Leo TechnoSoft SIEM products help's every enterprise with all security threats. Security information and event management software provides real-time visibility.
This presentation looks at the core component of an Incident Response plan (NIST 800-61) as well as custom practical implementation framework developed by ELYSIUMSECURITY based on NIST and FIRST.
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Security Management is very complex and does not limit itself to products and technologies. It is important to consider alternatives when setting up a Security Operation Center (SOC), from insight into the business plan requirements, ability and the skill set of people who will handle the SOC, the responsibilities for the team, budget and more.
Security Operations Center (SOC) Essentials for the SMEAlienVault
Closing the gaps in security controls, systems, people and processes is not an easy feat, particularly for IT practitioners in smaller organizations with limited budgets and few (if any) dedicated security staff. So, what are the essential security capabilities needed to establish a security operations center and start closing those gaps?
Join Javvad Malik of 451 Research and Patrick Bedwell, VP of Product Marketing at AlienVault for this session covering:
*Developments in the threat landscape driving a shift from preventative to detective controls
*Essential security controls needed to defend against modern threats
*Fundamentals for evaluating a security approach that will work for you, not against you
*How a unified approach to security visibility can help you get from install to insight more quickly
Infrastructure Security by Sivamurthy HiremathClubHack
With the development of technology, the interdependence of various infrastructures has increased, which also enhanced their vulnerabilities. The National Information Infrastructure security concerns the nation’s stability and economic security. So far, the research in Internet security primarily focused on securing the information rather than securing the infrastructure itself.
The pervasive and ubiquitous nature of the Internet coupled with growing concerns about cyber attacks we need immediate solutions for securing the Internet infrastructure. Given the prevailing threat situation, there is a compelling need to develop Hardware redesign architectures, Algorithms, and Protocols to realize a dependable Internet infrastructure. In order to achieve this goal, the first and foremost step is to develop a comprehensive understanding of the security threats and existing solutions. These attempts to fulfil this important step by providing classification of Security attacks are classified into four main categories: DNS hacking, Routing table poisoning, Packet mistreatment, and Denial-of-Service attacks. We are generally discussing on the existing Infrastructure solutions for each of these categories, and also outline a methodology for developing secured Nation.
Get advice from security gurus on how to get up & running with SIEM quickly and painlessly. You'll learn about log collection, log management, log correlation, integrated data sources and how-to leverage threat intelligence into your SIEM implementation.
Cloud Security is critical to Data Security and Application Resilience against CyberAttacks. This talk looks at Security Best Practices that need to be practised.
This talk was presented at AWS Community Day Bengaluru 2019 by Amar Prusty, Cloud-Data Center Consultant Architect, DXC Technology
There are relationships among the total correlation rule to be executed, complexity of the rules and EPS values together with CPU, RAM, Disk speed.
Also one other important issue is the easy of developing complex rules with wizards and executing them with high EPS values.
The SIEM products and the performance analyses of these products are very important in terms of evaluation.
The running performance of SIEM products, the resources which they require (CPU, RAM, DISK) and how they will show performance in the EPS value needed is very important.
Security information and event management (SIEMS) tools provide a robust collection of data sources that can help companies take a more proactive approach to preventing threats and breaches.
However, implementing a SIEM often brings the challenges of a lengthy implementation, costly investment and the need for skilled security analysts to maintain it. Also, many SIEMs have been used in on-premise data centers, so what steps will you need to take if you want your SIEM to move with your data into the cloud?
Jonathan Pollet and Mark Heard of Red Tiger Security at S4x15 OTDay.
The NIST Cybersecurity Framework (CSF) has been out for a year now, and some owner/operators have begun to use it to help create an ICS cyber security program. The Red Tiger Security team discusses what the CSF is and there experience in using it with real world clients.
Security Information and Event Management (SIEM)hardik soni
Leo TechnoSoft SIEM products help's every enterprise with all security threats. Security information and event management software provides real-time visibility.
This presentation looks at the core component of an Incident Response plan (NIST 800-61) as well as custom practical implementation framework developed by ELYSIUMSECURITY based on NIST and FIRST.
Optimizing Security Operations: 5 Keys to SuccessSirius
Organizations are suffering from cyber fatigue, with too many alerts, too many technologies, and not enough people. Many security operations center (SOC) teams are underskilled and overworked, making it extremely difficult to streamline operations and decrease the time it takes to detect and remediate security incidents.
Addressing these challenges requires a shift in the tactics and strategies deployed in SOCs. But building an effective SOC is hard; many companies struggle first with implementation and then with figuring out how to take their security operations to the next level.
Read to learn:
--Advantages and disadvantages of different SOC models
--Tips for leveraging advanced analytics tools
--Best practices for incorporating automation and orchestration
--How to boost incident response capabilities, and measure your efforts
--How the NIST Cybersecurity Framework and CIS Controls can help you establish a strong foundation
Start building your roadmap to a next-generation SOC.
Security Management is very complex and does not limit itself to products and technologies. It is important to consider alternatives when setting up a Security Operation Center (SOC), from insight into the business plan requirements, ability and the skill set of people who will handle the SOC, the responsibilities for the team, budget and more.
Security Operations Center (SOC) Essentials for the SMEAlienVault
Closing the gaps in security controls, systems, people and processes is not an easy feat, particularly for IT practitioners in smaller organizations with limited budgets and few (if any) dedicated security staff. So, what are the essential security capabilities needed to establish a security operations center and start closing those gaps?
Join Javvad Malik of 451 Research and Patrick Bedwell, VP of Product Marketing at AlienVault for this session covering:
*Developments in the threat landscape driving a shift from preventative to detective controls
*Essential security controls needed to defend against modern threats
*Fundamentals for evaluating a security approach that will work for you, not against you
*How a unified approach to security visibility can help you get from install to insight more quickly
Infrastructure Security by Sivamurthy HiremathClubHack
With the development of technology, the interdependence of various infrastructures has increased, which also enhanced their vulnerabilities. The National Information Infrastructure security concerns the nation’s stability and economic security. So far, the research in Internet security primarily focused on securing the information rather than securing the infrastructure itself.
The pervasive and ubiquitous nature of the Internet coupled with growing concerns about cyber attacks we need immediate solutions for securing the Internet infrastructure. Given the prevailing threat situation, there is a compelling need to develop Hardware redesign architectures, Algorithms, and Protocols to realize a dependable Internet infrastructure. In order to achieve this goal, the first and foremost step is to develop a comprehensive understanding of the security threats and existing solutions. These attempts to fulfil this important step by providing classification of Security attacks are classified into four main categories: DNS hacking, Routing table poisoning, Packet mistreatment, and Denial-of-Service attacks. We are generally discussing on the existing Infrastructure solutions for each of these categories, and also outline a methodology for developing secured Nation.
Get advice from security gurus on how to get up & running with SIEM quickly and painlessly. You'll learn about log collection, log management, log correlation, integrated data sources and how-to leverage threat intelligence into your SIEM implementation.
Cloud Security is critical to Data Security and Application Resilience against CyberAttacks. This talk looks at Security Best Practices that need to be practised.
This talk was presented at AWS Community Day Bengaluru 2019 by Amar Prusty, Cloud-Data Center Consultant Architect, DXC Technology
There are relationships among the total correlation rule to be executed, complexity of the rules and EPS values together with CPU, RAM, Disk speed.
Also one other important issue is the easy of developing complex rules with wizards and executing them with high EPS values.
The SIEM products and the performance analyses of these products are very important in terms of evaluation.
The running performance of SIEM products, the resources which they require (CPU, RAM, DISK) and how they will show performance in the EPS value needed is very important.
Creating Correlation Rules in AlienVaultAlienVault
Make a correlation between events, rules and security enforcement. Learn why correlation rules are the heart of SIEM, how to effectively correlate threats with protections, and how to link your rules to policies.
Presentation from ZeroNights 2015 devoted to Esper library and the features it has to perform complex security event processing (correlating). Basic and advanced features was considered and custom made correlation engine which able to work together with logstash was presented
Advanced OSSEC Training: Integration Strategies for Open Source SecurityAlienVault
During this technical one-hour session, Santiago Gonzalez, an OSSEC core team member (System integration, rules & SIEM) and AlienVault Director of Professional Services, will demonstrate how to integrate OSSEC with other 3rd party applications for greater security visibility and response.
To learn more, check out the video: https://www.alienvault.com/resource-center/webcasts/advanced-ossec-training-integration-strategies-for-open-source-security
Log Korelasyon/SIEM Kural Örnekleri ve Korelasyon Motoru Performans VerileriErtugrul Akbas
Korelasyon yeteneği bir SIEM ürününün en önemli özelliklerinden biridir. Ürünlerin korelasyon yetenekleri farklılık göstermektedir.
Bu çalışmada ortalama bir korelasyon yeteneğine sahip bir SIEM ürünü ile geliştirilebilecek kurallara örnekleri listelemeye çalıştık.
the IBM Security Intelligence Platform, also known as QRadar®, integrates SIEM, log management, anomaly detection, vulnerability management, risk management and incident forensics into a unified, highly scalable, real-time solution that provides superior threat detection, greater ease of use, and low total cost of ownership compared with competitive products
5 Ways to Get Even More from Your IBM Security QRadar Investment in 2016IBM Security
View ondemand webinar: https://securityintelligence.com/events/qradar-investment-2016/
Helping you stay ahead of cybercriminals means our work at IBM Security is never done. With data coming from every direction to collect, you need real time and historical analytics to discover anomalistic conditions that often provide the early warning signs of an attacker’s presence. Join us to hear about new features in IBM Security QRadar that can provide you with better visibility into what’s happening on your network and new integrations that will help you multiply your investment and help speed your remediation efforts.
Nowhere to Hide: Expose Threats in Real-time with IBM QRadar Network InsightsIBM Security
IT security teams have a tough job. While organizations depend upon Internet access to conduct business, security teams are responsible for safeguarding these communications and transactions from those who wish to profit by stealing intellectual property, customer private data or even just encrypting your data and demanding a ransom for its safe recovery. There are a number of tools available to monitor log events, network flows, and packet captures, but most of these are performing after-the-fact analysis. That can make it easy for the bad guys to hide out on your network.
IBM QRadar Network Insights (QNI) uses innovative network threat analytics to identify malicious content – including those hidden in data transmissions, SSL certificate violations, protocol obfuscation, file tags, and suspicious network flows – and then pieces together those indicators of attack to provide security teams with real-time alerts. These alerts help organizations detect attacks that are in progress, as well as determine what damage may have already been inflicted.
View this on-demand webinar to learn how QRadar Network Insights can:
Remove network blind spots and reduce complexities in log data to reveal previously hidden threats and malicious behaviors;
Record application activities, capture file metadata and artifacts, and identify assets, applications and users participating in network communications;
Reduce the impact of threats associated with malware, phishing emails, data exfiltration, and the lateral network movements of advanced attacks.
HP ArcSight solutions including logger, ESM and Express. with quick introduction about SIRM and SIEM platform. the presentation descrip information related to ArcSight smart Connector and flex connector
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 ...
Team research paper and project on network vulnerabilities with multiple attacks and defesnses:
Cybersecurity
-For this project, our class was paired with teams to attempt to find vulnerabilities in other teams networks and to successfully beach their network.
-My role in this group was to help breach other team vulnerabilities through different attacks like responder attacks, honeypots, etc.
-The main challenges of this project were trying to find the vulnerabilities successfully, as the whole team had troubles with each of our different attacks and defenses.
-We learned how to use cybersecurity tools to help find vulnerabilities in networks and how to protect against them better. For example, in the honeypot we used we deployed it to port 80, when the attacker tried to access our fake server we were notified. We also deployed palto alto firewall to create our private and secure network. For an attack, we also used password crackers like john the ripper. This project taught us how to breach networks as a team.
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 International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
This paper discusses the question of optimizing security decisions in an organization, based on the information provided by the technical security infrastructure.
The methodology presented in this paper is based on the ability to identify and understand the flow of log streams. Once the feeds are incorporated and the best possible coverage has been achieved, detected category will be ready for rule definition. Correlation rules can also correlate events via their taxonomy allowing the creation of device-independent correlation rules
Use Exabeam Smart Timelines to improve your SOC efficiencyJonathanPritchard12
Exabeam uses common log sources to stitch together events in plain text to easily answer the important question: What happened before, during and after?
Log Analysis Across System Boundaries for Security, Compliance, and OperationsAnton Chuvakin
This article covers the importance of utilizing a cross-platform log management approach rather than a siloed approach to aggregating and reviewing logs for easier security and compliance initiatives.
Log Analysis Across System Boundaries for Security, Compliance, and OperationsAnton Chuvakin
This article covers the importance of utilizing a cross-platform log management approach rather than a siloed approach to aggregating and reviewing logs for easier security and compliance initiatives.
The paper covers honeypot (and honeynet) basics and definitions and then outlines important implementation and setup guidelines. It also describes some of the security lessons a company can derive from running a honeypot, based on the author experience running a research honeypot. The article also provides insights on techniques of the attackers and concludes with considerations useful for answering the question “Should your organization deploy a honeynet?”
Because the biggest impact of cyber breach is data loss, data protection should be architected into the DNA of your cyber security solution. This means focusing security efforts around data from the very beginning, from initial risk assessment, to control design, to implementation and auditing.
Most cyber security solutions protect infrastructure, assuming that data stored within containers will be protected. This white paper explains why this assumption is no longer valid and outlines an approach to designing a cyber security solution directly around data.
Compliance Officers, Risk Managers, Security Professionals, and IT Leaders will understand
the goals and steps of data-centric solution design, as well as its potential benefits.
Insight Brief: Security Analytics to Identify the 12 Indicators of Compromise21CT Inc.
In this security insight brief, 21CT researchers look at the malicious network behaviors that concern organizations the most, and how to use security analytics to find them before damage is done. Understanding these 12 indicators of compromise are critical to identifying a network breach.
Fortalecimiento de la seguridad combinando las capacidades de analíticos sobre logs y paquetes de red, además de las capacidades avanzadas de detección de malware,
Similar to Security Event Analysis Through Correlation (20)
Future of SOC: More Security, Less OperationsAnton Chuvakin
"Future of SOC: More Security, Less Operations" was originally presented by Dr Anton Chuvakin in March 2024 at a virtual conference in Finland
The future of SOC looks less like its past. AI is part of the future, but engineering-led approach to SOC is more critical
Detection and Response of the future will be more heavily automated
SOC Meets Cloud: What Breaks, What Changes, What to Do?Anton Chuvakin
SOC Meets Cloud: What Breaks, What Changes, What to Do?
originally presented at Mandiant mWise 2023 by Dr Anton Chuvakin of Google Cloud Office of the CISO
Cloud changes everything (does it though?), including how we do threat detection and incident response in the SOC. As we continue to transform our attack surfaces, how do we make sure our detection and response are done "the cloud way"? There were also cases where both business and IT migrated to the cloud, but security was left behind and had to approach cloud challenges with on-premise tools and practices. How should a SOC born before cloud deal with cloud? What to watch for? What changes? What breaks? What stays the same?
Meet the Ghost of SecOps Future by Anton ChuvakinAnton Chuvakin
Meet the Ghost of SecOps Future by Anton Chuvakin
Meet the Ghost of SecOps Future
Today’s SOC has an increasingly difficult job protecting growing and expanding organizations. The landscape is changing and the SOC needs to change with the times or risk falling behind the evolution of business, IT, and threats.
But you have choices! Your future fate is not set in stone and can be changed: some optimize what they have without drastic upheaval, while others choose to truly transform their detection and response.
Join us as we show you a vision of what the SOC will look like in the near future and how to choose the best course of action today.
Originally aired at https://cloudonair.withgoogle.com/events/2023-dec-security-talks
Video https://youtu.be/KbQbuFAPY2c?si=0llv1v_CkVtvsyms
SOC Lessons from DevOps and SRE by Anton ChuvakinAnton Chuvakin
SOC Lessons from DevOps and SRE by Dr Anton Chuvakin - RSA 2023 Google Cloud sideshow presentation focused on using select DevOps and SRE lessons to make your SOC better
20 years of SIEM was prepared for the SANS webinar https://www.sans.org/webcasts/anton-chuvakin-discusses-20-years-of-siem-what-s-next/ and offers Anton's reflection on SIEM past and future
10X SOC - SANS Blue Summit Keynote 2021 - Anton ChuvakinAnton Chuvakin
Can We REALLY 10X the SOC? by Dr Anton Chuvakin
Many organizations promise to transform your security operations center (SOC) with technology, advice or their personnel. However, what does it take to really transform your SOC to be ready for future threats? Is this an impossible problem? Is this something that can be only done by well funded organizations? Let's explore these and other questions in this talk.
https://www.sans.org/cyber-security-training-events/blue-team-summit-2021/#agenda
Five Best and Five Worst Practices for SIEM by Dr. Anton ChuvakinAnton Chuvakin
End-User Case Study: Five Best and Five Worst Practices for SIEM
Implementing SIEM sounds straightforward, but reality sometimes begs to differ. In this session, Dr.
Anton Chuvakin will share the five best and worst practices for implementing SIEM as part of security
monitoring and intelligence. Understanding how to avoid pitfalls and create a successful SIEM
implementation will help maximize security and compliance value, and avoid costly obstacles,
inefficiencies, and risks
Five Best and Five Worst Practices for SIEM by Dr. Anton ChuvakinAnton Chuvakin
End-User Case Study: Five Best and Five Worst Practices for SIEM
Implementing SIEM sounds straightforward, but reality sometimes begs to differ. In this session, Dr.
Anton Chuvakin will share the five best and worst practices for implementing SIEM as part of security
monitoring and intelligence. Understanding how to avoid pitfalls and create a successful SIEM
implementation will help maximize security and compliance value, and avoid costly obstacles,
inefficiencies, and risks
Log management and compliance: What's the real story? by Dr. Anton ChuvakinAnton Chuvakin
Title: Log management and compliance: What's the real story? by Dr. Anton Chuvakin
One of the problems in making an Enterprise Content Management (ECM) strategy work with compliance initiatives is that compliance needs accountability at a very granular level. Consequently, IT shops are turning to log management as a solution, with many of those solutions being deployed for the purposes of regulatory compliance. The language however, regarding log management solutions can sometimes be vague which can lead to confusion. This session will lend some clarity to the regulations that affect log management. Topics will include:
Best practices for how to best mesh compliance ECM and compliance strategies with log management
Tips and suggestions for monitoring and auditing access to regulated content, with a focus on Microsoft Sharepoint logging.
An examination of a handful of the regulations affecting how organizations view log management and information security including The Payment Card Industry Data Security Standard (PCI DSS), ISO 27001, The North American Electric Reliability Council (NERC), HIPAA and the HITECH Act.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Security Event Analysis Through Correlation
1. “Security Event Analysis Through Correlation”
Anton Chuvakin, Ph.D., GCIA, GCIH
WRITTEN: 2002-2004
Contents
Contents...............................................................................................................................................1
Abstract................................................................................................................................................1
Introduction to security data analysis..................................................................................................1
Types of correlation.............................................................................................................................3
Rule-based correlation....................................................................................................................3
Statistical correlation......................................................................................................................4
Challenges with correlation............................................................................................................5
Maximizing benefits of correlation......................................................................................................6
Correlation Rule Examples..................................................................................................................6
Probes followed by an attack..........................................................................................................6
Login guessing................................................................................................................................7
Conclusion...........................................................................................................................................7
DISCLAIMER:
Security is a rapidly changing field of human endeavor. Threats we face literally change every day;
moreover, many security professionals consider the rate of change to be accelerating. On top of
that, to be able to stay in touch with such ever-changing reality, one has to evolve with the space as
well. Thus, even though I hope that this document will be useful for to my readers, please keep in
mind that is was possibly written years ago. Also, keep in mind that some of the URL might have
gone 404, please Google around.
Abstract
This paper covers several of the security event correlation methods, utilized by Security
Information Management (SIM) solutions for better attack and misuse detection. We describe these
correlation methods, show their corresponding advantages and disadvantages and explain how they
work together for maximum security.
Introduction to security data analysis
The security spending survey by “Information Security Magazine”
http://www.infosecuritymag.com/2003/may/coverstory.pdf and recent research by Forrester analyst
firm indicate that deployment rates of many security technologies will soar in the next three years.
According to some estimates, security budgets (and thus technology purchases) will double by
2006. Almost every Internet-connected organization now has a firewall, included as part of its
network infrastructure; most Windows networks have an anti-virus solution. Intrusion Detection
Systems (IDSs) are slowly but surely gaining wider acceptance and intrusion prevention starts to
show more promise, despite the obvious hurdles. New types of application security products such
as web application firewalls are starting to be deployed by security-conscious organizations. This
buying trend is further enhanced by the growing popularity of so-called "appliance" security
systems, which are very easy to install and manage. Appliances combine software and hardware in
2. one package and usually have much lower installation and maintenance costs, thus facilitating their
adoption.
All the above devices, whether aimed at prevention or detection of attacks, usually generate huge
volumes of audit data. Firewalls, routers, switched and other devices recording network connection
information are especially guilty of producing vast oceans of data. There are other problems
induced by this log deluge, turning its analysis into a pursuit few dare to undertake. Many diverse
data formats and representations, some binary1, obscure and undocumented, are used for those log
files and audit trails. Also, a percentage of events generated by network Intrusion Detection
Systems (IDS) and Intrusion Prevention Systems (IPS) are false alarms and do not map to real
threats or map to threats that have no chance of causing loss. To further confuse the issue, different
devices might report on the same things happening on the network, but in a different way, with no
apparent way of figuring the truth of their relationship. For example, a UNIX log file might contain
an FTP connection message. The same will also be recorded by the firewall as 'connection allowed
to TCP port 21'. A network IDS might also generate an alert, warning that FTP with no password
has occurred. All three messages refer to the same event and a human analyst will recognize them
as such. However, programming a system to do that is much more challenging, especially for A
broad spectrum of messages, Thus, there is a definite need for a consistent analysis framework to
identify various network threats, prioritize them and learn their impact on the target organization.
This needs to be done as fast as possible (preferably in real-time) for attack identification and also
over the long term for threat trending and risk analysis.
To understand the meaning of the piling logs, the data in them may be categorized in several ways.
It should be noted that before the data can be intelligently categorized, it should be normalized to a
common schema. The normalization process involves extracting the parts of the log records serving
the common purpose and assigning them to specific fields in the common schema. For example,
both firewall and network IDS log records will usually contain the source and destination IP
addresses. If you see both firewall and IDS logs referring to the same source and destination at
about the same time, they are likely to be related.
Log categorization helps to make the similarity between different log records to stands out. For
example, the generated log data across many security devices, hosts and applications might be
related to:
•Device performance data
•Network traffic
•Known attacks
•Known network/system problems
•Anomalous/suspicious network/host activity
•Access control decisions
•Software failures
•Hardware errors
•System changes
•Evidence of malicious agents
•Site-specific AUP2 violations
1
Binary = here, not containing human-readable text, but binary data
2
AUP = Acceptable Use Policy
3. Each of the above types of events presents unique analysis challenges. For example, some are
produced in much higher numbers (network access control, worm events) while some others are
often not what they seem at first (such as network IDS “false positives”). Moreover, sometimes the
threat can only identified and rated by cross-device and cross-category analysis of the above events.
Many questions arise upon seeing the above data. How to turn that flood of data into useful and
actionable information? How to find what is really relevant for the organization at the moment and
for the near future? How to tell normal log records, produced in the course of business, from the
anomalous and malicious, produced by attackers or misbehaving software?
Correlation performed by the SIM (Security Information Management) software is believed to be
the solution to those challenges. Correlation is defined in the dictionary as establishing or finding
relationships between entities. However, the good security-specific definition is lacking. In
security, “event correlation” may be defined as improving threat identification and assessment
process by looking not only at individual events, but also at their sets, bound by some common
parameter (“related”).
Types of correlation
Security-specific correlation can be loosely categorized into rule-based and statistical (or
algorithmic). Rule-based correlation needs some pre-existing knowledge of the attack (“the rule”)
and is able to define what it actually detected in precise terms (“Successful Shopping Cart Web
Application Attack”). Such attack knowledge is used to relate events and analyze them together in
broader context.
On the other hand, statistical correlation does not employ any pre-existing knowledge of the “bad”
activity (at least, not as a primary detection vehicle), but instead relies upon the knowledge of
normal activities, accumulated over time. Ongoing events are then rated by the built-in algorithm
and are additionally compared to the accumulated activity patterns.
This distinction is somewhat similar to signature vs anomaly IDS and makes a SIM solution a kind
of meta-IDS, operating on a higher-level data (not packets, but log records). Both of those
correlation methods combined can help to sift through the large volume of diverse data and identify
high severity threats.
Rule-based correlation
Rule-based correlation uses some pre-existing knowledge of an attack (a rule), which is essentially
a scenario that an attack must follow to be detected. Such scenario might be encoded in the form of
“if this, then that, therefore some action is needed”.
Rule-based correlation deals with states, conditions, timeouts and actions. Let us define those
important terms. A state is a stationary occurrence that the correlation rule might be in. A state
might contain various conditions, such as matching incoming events by the source IP address,
protocol, port, event type, producing security device type, username and other components of the
event. It should be noted that although such data components vary upon the device, the SIM
solution normalizes them using the cross-device event schema without incurring the information
loss. Timeout defines how long the rule will be in a certain state. If the correlation engine has to
4. maintain a lot of rules in waiting state in memory, this resource might be exhausted. Thus, rule
timeouts plan an important role in correlation performance. A transition is an event when one rule
state is switched to another one. For a complicated rule, many transitions are possible. Action is
what happens when all the rule conditions are met. Various actions may result from rules, such as
user notification, alarm escalation, configuration changes or automatic incident case investigation.
The correlation is usually performed by the correlation engine, which is able to track various states
and switch from state to state, depending on conditions and incoming events. It does all the above
for multiple rules at the same time. The correlation engine gets a real-time event feed from the
alarm-generating security devices and applies the relevant correlation rules as needed. The
correlation engine also leverages other types of available data (such as vulnerability, open port or
asset business value information) for higher level of correlation.
Correlation rules may be applied to the incoming events as they arrive in real-time or to the
historical events stored in the database. In the latter case, the rules are used as a form of data
mining or analytics, which allows uncovering hidden threats such as slow port scans or low level
Trojan or exploitation activity. Such rule may be run periodically for incident identification or in
the course of the investigation of suspicious activity for seeking out the prior occurrences of similar
(and thus possibly related) activity. Unlike the real-time rules, which become useless if prone to
false alarms (just as signature-based IDSs sometimes are), database rules can tolerate a certain level
of false alarms for the purpose of drastically reducing false negatives. This is due to the fact that
real-time rules usually feed the alarm notification system, while database rule correlation will be
launched by the analyst during security incident the investigation. As long as the rule-based
analytics will uncover a hidden threat, which is impossible to discover otherwise, an analyst might
be able to tolerate a certain level of false alarms, not acceptable for the real-time correlation.
Statistical correlation
Statistical correlation uses special numeric algorithms to calculate threat levels incurred by the
security relevant events on various IT assets. Such correlation looks for deviations from normal
event levels and other routine activities. Risk levels may be computed from the incoming events
and than tracked in real time or historically, so that deviations are apparent. The algorithmic
correlation may leverage the event categorization in order to compute the threat levels specific to
various attack types, such as threat of denial of service, threat of viruses, etc and track them over
time.
Detecting threats using statistical correlation does not require any pre-existing knowledge of the
attack to be detected. Statistical methods may however be used to detect threats on pre-defined
activity thresholds. Such thresholds may be configured based on the experiences monitoring the
environment. For example, if normal level of specific reconnaissance activity is exceeded for a
prolonged period of time, the alarm might be generated by the system.
Correlation may also use various parameters for enterprise assets to skew the statistical algorithm
for higher accuracy detection. Some of them are defined by system users (such as the affected asset
value to the organization) or are automatically computed from other available event context data
(such as vulnerability scanning results or measure of normal user activity on the asset). That allows
5. to define broader context for transpiring security events and thus help understand how they
contribute to the organization's risk posture.
If rule-based correlation is more helpful during the threat identification, the algorithmic correlation
is conducive to impact assessment. In case of higher threat levels detected by the algorithms, one
can assume that there is a higher chance of catastrophic system compromise or failure. Various
statistical algorithms may be used to trend such threat levels over long periods in order to gain
awareness of the normal network and host activities. The accumulated threat data is then used to
compare the current patterns of activity with the baseline. This allows the system to make accurate
(and possibly automated) decisions about event flows and their possible impact.
Challenges with correlation
Both of the above types of correlation have inherent challenges, which can fortunately be mitigated
by combining both methods to create coherent correlation coverage, leading to quality threat
identification and ranking.
First, can we assume that the attacker will follow a scenario, which can be caught by the rule-based
correlation system? Unlike the network IDS system that needs a specific signature with detailed
knowledge of the attack, a correlation system rule might cover the broad range of malicious
activities, especially if intelligent security event categorization is utilized. It may be done without
going into the specifics of a particular IDS signature. For example, rules may be written to look for
certain activities that usually accompany the system compromise, such as backdoor communication
or hacker tools download. Doing those things is harder to avoid by the attacker if he intends to use
the compromised machine for his purposes. Extensive research using deception networks also
called honeynets allows us to learn more and more of the attackers' patterns of behavior and to
encode them as correlation rules, available out of the box.
Second, can multiple rules cause the number of false positives to actually increase instead of
decrease? Indeed, deploying many rules without any regard to the environment might generate false
alarms. However, it is much easier to understand and tune the SIM correlation rules than intricate
binary matching patterns. The latter requires in-depth understanding of the attack network packets,
memory corruption issues and specifics of the exploitation techniques. On the other hand, tuning
the correlation rule involves changing the timeouts and adding or removing conditions. Overall, in
case of correlation rules, one may also define response actions with higher confidence, since one
can bind the rules to a specific asset or group of assets.
Third, rule-based correlation is relatively intensive computationally. However, using highly
optimized correlation engines and intelligently applying filters to limit the flow of events allows
gaining maximum advantage of the rule-based correlation. Additionally, many rules can be
combined together so that the correlation engine does not have to keep many similar events in
memory. It also makes sense to apply more specific correlation rules to a large number of assets,
where false positives flood might endanger the security, and to apply wider and more generic rules
to critical assets, where an occasional false alarm is better than missing a single important alert.
This way all the suspicious activities directed against a small group of critical assets will be
detected, and
6. Fourth, statistical correlation may not pick up anomalous activity if it is performed at low enough
levels, essentially merging with the normal. Hiding attack patterns under volumes and volumes of
similar normal activity might deceive the statistical correlation system. Similarly, a single
occurrence of an attack might not impact the statistical profile enough to be noticed. However,
careful “baselining” of the environment and then using statistical methods to track the deviations
from such baseline might allow detecting some of the low-volume threats. Also, rule-based
correlation efficiency compensates for those rare events and enables their detection, even if
algorithmic correlation misses them.
Maximizing benefits of correlation
Correlation enabled the system users to take the audit data analysis to the next level. Rule-based
and statistical correlation allows the user to:
•Dramatically decrease the response times for routine attacks and incidents by using the
centralized and correlated evidence storage
•Completely automate the response to certain threats that can be detected reliably by correlation
rules
•Identify malicious and suspicious activities on the network even without having any pre-
existing knowledge of what to look for
•Increase awareness of the network via baselining and trending and effectively “take back your
network”
•Fuse data from various information sources to gain cross-device business risk view of the
organization
•Use the statistical correlation to learn the threats and then deploy new rules for site-specific and
newly discovered violations
Overall, combining rules and algorithms provides the best value for managing organization's IT
security risks.
Correlation Rule Examples
Probes followed by an attack
The rule watches for the general attack pattern consisting of a reconnaissance activity followed by
the exploit attempt. Attackers often use activities such as port scanning, application querying to
scope the environment and find targets for exploitation and get an initial picture of system
vulnerabilities. After the initial information gathering is performed, the attacker returns with exploit
code or automated attack tools to get to the actual system penetration. The correlation enriches the
information reported by the IDS and serves to validate the attack and suppress false alarms. By
watching for exploit attempts that follow the reconnaissance activity from the same source IP
address against the same destination machine, the SIM solution can increase the confidence and
accuracy of reporting.
After the reconnaissance event is detected by the system the rule activates and waits for the actual
exploit to be reported. If it arrives within a specified interval, the correlated event is generated. The
7. notification functionality can then be used to relay the event to security administrators by email,
pager, and cell phone or to invoke appropriate actions.
Login guessing
The rule watches for multiple attempts of failed authentication to network and host services
followed by a successful login attempt. While some intrusion detection systems are able to alert on
failed login attempts, the correlation system is able to analyze such activity across all authenticated
services, networked (such as telnet, ssh, ftp, Windows access, etc) and local (such as UNIX and
Windows console logins). This rule is designed to track successful completion of such attack.
Triggering of this rule indicates that an attacker managed to login to one of your servers.
It is well-known that system users would often use passwords that are easy to guess from just
several tries. Intelligent automated guessing tools, available to hackers, allow them to cut the
guessing time to a minimum. The tools use various tricks such as trying to derive a password from
a user's login name, last name, etc. In the case that those simple guessing attempts fail, hackers
might resort to "brute forcing" the password. The technique uses all possible combinations of
characters (such as letters and numbers) to try as a password. After the non-root (non-
administrator) user password is successfully obtained, the attacker will likely attempt to escalate
privileges on the machine in order to achieve higher system privileges.
The rule activates after the first failed attempt is detected. The event counter is then incremented
until the threshold level is reached. At that point the rule engine will be expecting a successful login
message. In case such message is received, the correlated event is sent. It is highly suggested to
tune the count and the interval for the environment. Up to three failed attempts within several
minutes is usually associated with users trying to remember the forgotten password, while higher
counts within shorter period of time might be more suspicious and indicate a malicious attempt or a
script-based attack.
Conclusion
SIM products leveraging advanced correlation techniques and intelligent alert categorization are
becoming indispensable as enterprises deploy more and more security point solutions, appliances
and devices. Those solutions alone only address small parts of the company security requirements
and need to be integrated under the umbrella of Security Information Management solution, which
will enable the users to combat modern-day technology threats such as hackers, hybrid worms and
even internal abuse.
ABOUT THE AUTHOR:
This is an updated author bio, added to the paper at the time of reposting in 2009.
Dr. Anton Chuvakin (http://www.chuvakin.org) is a recognized security expert in the field of log
management and PCI DSS compliance. He is an author of books "Security Warrior" and "PCI
Compliance" and a contributor to "Know Your Enemy II", "Information Security Management
Handbook" and others. Anton has published dozens of papers on log management, correlation,
8. data analysis, PCI DSS, security management (see list www.info-secure.org) . His blog
http://www.securitywarrior.org is one of the most popular in the industry.
In addition, Anton teaches classes and presents at many security conferences across the world; he
recently addressed audiences in United States, UK, Singapore, Spain, Russia and other countries.
He works on emerging security standards and serves on the advisory boards of several security
start-ups.
Currently, Anton is developing his security consulting practice, focusing on logging and PCI DSS
compliance for security vendors and Fortune 500 organizations. Dr. Anton Chuvakin was formerly
a Director of PCI Compliance Solutions at Qualys. Previously, Anton worked at LogLogic as a
Chief Logging Evangelist, tasked with educating the world about the importance of logging for
security, compliance and operations. Before LogLogic, Anton was employed by a security vendor
in a strategic product management role. Anton earned his Ph.D. degree from Stony Brook
University.