Category: Industry Insights

Traditional IAM was built for predictable workloads. Learn why AI agents demand a new approach to identity, access control, and credential management.
Discover verifiable agentic AI deployments in software, security, IT Ops, and logistics. Learn the essential security, identity, and governance patterns for safe production use.
As agents scale and operate continuously, MCP servers are becoming long-lived access intermediaries, concentrating privilege in ways security teams have already struggled to contain.
Single sign-on (SSO) simplifies access for human users across an organization’s approved applications. Federated identity (FI) management connects users across organizational boundaries.
Service accounts are indispensable, but their security weaknesses make them the most attractive target in enterprise environments.
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.