There seems to be a new article every day covering the intersection of artificial intelligence (AI), machine learning (ML) and the security industry. Vendors are suggesting that AI has the potential to act as a team member, replace missing expertise, and reduce headcount for detecting, investigating, responding to, and predicting new cyberthreats. The concept of a fully computerized SOC may be a dream in a world lacking cybersecurity professionals, but can it be realized?

Increasing the autonomy of the SOC is a noble goal, especially for smaller organizations struggling to hire and retain the necessary cybersecurity skills. However, the need for self-learning and self-repairing capabilities in an autonomous SOC raises an important concern: If your IT and security system becomes self-referential and self-healing, how can you investigate to ensure it’s getting it right? Who watches the watchers?

In this session, led by Randeep Gill, Principal Cyber Security Strategist at Exabeam, you will learn:

• The history of AI, ML and automation already in your security stack
• The dangers and challenges of unrestricted GPT and other chatbots as information sources
• Ways humans and AI can work together