AI Agent Security: Why Permissions and Monitoring Matter

How do you secure AI agents that can act autonomously on behalf of users? As organizations adopt agentic AI, traditional security controls must evolve to address new risks involving AI agent permissions, identity, access, and autonomous actions. In this highlight from BigID's AI Infrastructure Summit session, "Context & Intent: Why AI Decisions Need More Than Access," industry leaders discuss why AI security must extend across data, models, applications, infrastructure, and governance. The conversation explores how organizations can secure AI systems while enabling AI agents to operate efficiently and responsibly. **Key topics covered:** - Why AI security requires a system-level and user-level approach - How agentic AI changes identity and access management - Why AI agents need limited permissions when acting on behalf of users - The importance of continuous monitoring and feedback as AI autonomy increases - How context, intent, and governance influence AI agent security As AI agents gain greater autonomy, organizations need visibility into what agents can access, what actions they take, and whether those actions align with their intended purpose. 🎥 **Watch the full session:** "Context & Intent: Why AI Decisions Need More Than Access" from BigID's AI Infrastructure Summit: https://bit.ly/3U1LCwn #AgenticAI #AIAgentSecurity #AISecurity #AIGovernance #BigID