Tag: Agentic AI

Legacy IAM can’t govern autonomous AI agents that spin up, execute and terminate in seconds. New identity patterns are now emerging.
MCP standardizes how AI agents connect to tools, but every agent needs delegated authority and precise permission controls to match.
Test your MCP systems for confused deputy attacks, token passthrough risks and the authorization patterns the specification requires.
When enterprises deploy Claude for Work, every agent inherits the employee’s full identity and access rights with no guardrails, no policy, and no audit trail. Here’s how one $300B investment firm closed that gap, and what it means for yours.
You can stand up an MCP server in minutes, but controlling how it authenticates and what it can access is where the real work begins.
Teams can query workload identity data in plain language, investigate activity, and move faster without leaving the Aembit platform.
MCP gives AI agents a common language for action—but also a new attack surface. Here’s how to model threats before they become incidents.
For years, artificial intelligence has been reactive. You prompted it, and it responded by analyzing data, generating text or predicting outcomes, but only when asked.
Built in the open with customers, now ready to run against real agent workflows.
What starts as a tooling decision ends up shaping cost, reliability, and how far your workflows actually scale before they break down.