Artificial intelligence now operates across browsers, endpoints, SaaS platforms, private applications, cloud environments and agent-to-agent connections. This fragmented ecosystem leaves many security teams unable to identify which tools employees use, what data they exchange or where risky interactions occur. A unified approach to discovery and control can help organizations support AI adoption without sacrificing data protection or governance.

In this session, Ben Shelston, senior director of solutions engineering at Netskope, will discuss:

• How multiple sensors can inventory AI models, applications, agents and MCP servers across enterprise environments;
• How recurring red-team assessments expose guardrail failures and track changes in model behavior over time;
• How session-aware controls, data loss prevention and runtime inspection can protect approved AI accounts, embedded features, custom applications and agentic interactions.