Meet Aembit IAM for Agentic AI. See what’s possible →

Category: Industry Insights

Agentic AI introduces new cybersecurity risks, primarily concerning autonomous identity, tool chain exposure, and cascading compromises, requiring security teams to urgently adopt least-privilege identity frameworks and real-time monitoring designed specifically for self-directed, persistent workloads.
Traditional security models fail to detect compromised service accounts and non-deterministic AI agents, requiring a shift to layered, identity-aware behavioral monitoring.
API keys offer simplicity, but OAuth provides superior security through automatic expiration and granular scopes.
Securing MCP requires a fundamentally different approach than traditional API security.
True zero trust requires verified identity at every request and eliminating static credentials entirely.
Traditional static access control is inadequate for dynamic MCP server environments. Context-Based Access Control (CBAC) provides superior security by evaluating identity, context, and resource in real-time.
OAuth 2.1 eliminates implicit flow, mandates PKCE, and requires exact redirect matching.
JWT and OAuth work together for robust authorization, especially in machine-to-machine communication.
Agentic AI systems act autonomously to achieve goals, planning multi-step tasks and adapting to changing conditions.
Service accounts outnumber human users but operate with static credentials and minimal oversight.