As organizations build AI applications and deploy agents, those systems gain access to enterprise data, tools, and workflows. Security teams need to know what is deployed, govern what agents can do, and protect them as they operate. Traditional controls may miss risks that emerge across a sequence of otherwise routine agent actions. Join Steve Giguere, Principal AI Security Advocate, and Sam Watts, Senior Product Manager, AI Agent Security, to explore what this means for AI security and how Check Point detects and stops risky behavior as it unfolds. During this webinar, in collaboration with Check Mates we’ll cover:
Why AI applications and agents create new security requirements as they connect to enterprise data, tools, APIs, and workflows
How to gain visibility into the AI systems being built and deployed across the organization
How to govern what AI agents can access and do
How to protect AI applications and agents against AI-specific threats
How runtime security can understand the context and behavior of AI agents and stop risky activity as it unfolds
