Securing AI Agents Through Continuous Red Teaming: Prevent Hallucinations and Vulnerabilities in LLM Agents

Absract

Learn how continuous Red Teaming can protect your LLM agents from emerging threats like hallucinations and data leakage. We'll present how enterprises can automate security evaluation, detect vulnerabilities before they become incidents, and ensure continuous protection of AI agents

Topics To Be Covered

How continuous Red Teaming strengthens AI agent security
Strategies to detect and prevent AI hallucinations
Automating security evaluation for LLM agents
Mitigating data leakage and emerging AI threats
Best practices for ensuring continuous AI protection

Who Is This For?

Enterprise AI & Compliance Leaders
Machine Learning & AI Engineers
Cybersecurity Professionals
Regulatory & Governance Specialists
AI Security & Risk Management Teams

Meet Your Speaker

Alex Combessie

CEO & Co-Founder, Giskard AI

Alex is the co-founder and CEO at Giskard, a startup dedicated to secure AI agents through exhaustive testing. Previous experience includes big data & analytics consulting at Capgemini, and lead data scientist at Dataiku where he worked the development of the NLP and time-series stack.

At Giskard, he's leading a team developing an AI testing platform that advances Responsible AI, enhancing business performance while respecting the rights of citizens.