Category: Industry Insights

Every major AI platform now ships hooks for agent security. Here’s why they’re the wrong layer for access control – and what goes underneath them.
Securing MCP requires a fundamentally different approach than traditional API security.
MCP security is becoming a crowded market of gateways, scanners, access controls, and broader platforms, and the distinctions matter more than the labels.
PAM is changing as AI agents, workloads and machine identities take on more privileged access.
Personal agents are about to test whether enterprises know who, or what, is using their credentials.
Secrets managers still matter. But AI agents and workloads are changing when stored credentials make sense.
Broad credentials made sense when fixed application logic stood between users and actions, but AI agents have changed that equation.
What began as a way for agents to call tools is expanding into infrastructure for longer-running, governed interactions across enterprise systems.
Centralized authorization eliminates repeated user consent, but autonomous agents still need runtime policy, short-lived credentials, and audit.
An employee, a scheduled agent, and a company-wide assistant may knock on the same MCP server door. They should not get in with the same badge.