The New World of Security: User Behaviour Analytics

Moderator(s):

Martin Kuppinger Principal Analyst

KuppingerCole

User Behavior Analytics (UBA) is becoming increasingly popular in detecting insider threat by reporting the anomalous behavior of users and systems. By using UBA techniques, companies can combat the cybercriminals who gained access to the company network. The deployment of these tools requires the establishment of baseline behavioral patterns of users within the system. UBA systems, whether standalone or built-in to business applications, often need customization and fine-tuning to reduce false positives. Furthermore, it is important for businesses to properly delegate resources to and use the high-level analytical tools to their maximum advantage. In this session, we will discuss the UBA implementation and the role of the advanced tools, such as Machine Learning and Deep Learning algorithms play in company security.

Sessions:

Finding the Needle in Data Haystack

User Behavior Analytics: Can We? Should We? Must We? And if, How to Do It Right?

Date: Tuesday, November 13, 2018 Time: 14:10-15:10

User Behavior Analytics: Can We? Should We? Must We? And if, How to Do It Right?

Martin Kuppinger, KuppingerCole

User Behavior Analytics (UBA) or UEBA (User & Entity Behavior Analytics) is an important capability of a variety of products: Specialized solutions for UBA; IAM tools with built-in UBA capabilities; and various cyber-security products that also come with built-in UBA capabilities. The question to start with is: What is UBA really and how does it differ from e.g. Threat Analytics, SIEM, Access Governance, and other capabilities? Where is the benefit of UBA? Is it a nice-to-have or...

User Behaviour Analytics (UBA) - The Enterprise Value Proposition

Chris Burtenshaw, Strata Security Solutions

This session explores what UBA is and the value it brings to enterprise security in context of other common controls and tools. Chris will give some history of how user activity monitoring has changed, and its challenges, and the state today. Finally, we will discuss how this is changing and what to look out for as organisations are consuming more cloud-based services.

Advanced Analytical Tools for Detection and Prevention of Cyber Attacks

Mapping the Comprehensive Cyber Human Factor with Implications on AI and Future Cyber Leadership

Date: Tuesday, November 13, 2018 Time: 15:10-16:10

Mapping the Comprehensive Cyber Human Factor with Implications on AI and Future Cyber Leadership

Dr. Rachel Suissa, University of Haifa / National Security Program

The aim of this presentation is to map the comprehensive human factor and cybercrime landscape categories (Motivations, the category of the perpetrator, category of the targets and victims, opportunistic and targeted attacks, the jurisdiction of the target, technology versus social engineering). Mapping these two pillars provides indicators that can be integrated in AI cybercrime predictive analysis, construct a model of the man-cognitive system and a cyber leadership network based on the...

Panel - AI and the Future of Cybersecurity

Dr. Doron Chema, L7 Defense • Dr. Rachel Suissa, University of Haifa / National Security Program • Yaniv Avidan, MinerEye • Martin Mangold, DriveLock SE • Dr. Willem De Groef, Elimity

Advanced analytical technologies will help organizations in their fight against cyber-attacks. These technologies assist in detecting potential attacks at an earlier stage, as well as enabling the identification of complex attack patterns that span various systems. In this panel we will discuss the role of AI in the future of cybersecurity, possibilities of using it as a weapon by adversaries and the possibility of developing preventing techniques using Machine Learning and Deep...