Mitigating AI-based Security Challenges
As AI systems evolve into autonomous agents with reasoning, memory, and tool usage, the security landscape is changing rapidly. This webinar explores critical and interconnected areas shaping AI security today.Our experts discuss the importance of frameworks—including NIST and the EU-AI Act—in providing foundational guidelines and the necessity of dynamic control planes to manage AI risks effectively. They also examine the Model Context Protocol (MCP) as a potential industry standard for how Al systems integrate with tools and data sources, along with the security challenges that must be addressed for it to be adopted safely. The balance between innovation and security is a recurring theme, with practical steps provided for organizations to improve their AI security posture and attract talent in the evolving landscape.
Don’t miss this session and your chance to gain actionable insights that will help your organization stay ahead in the evolving landscape of AI security.

