Tag: Agentic AI

Whether you want simple fire-and-forget alerts or full two-way control, here’s how to securely wire your AI agent into Slack
Workforce and customer agents may rely on similar identity infrastructure, but the trust models, access patterns, and security risks behind them differ significantly.
Aembit IAM for Agentic AI combines blended identity with an MCP Identity Gateway for enterprise agents.
Most CISOs fear AI agent risks, but legacy IAM can’t govern autonomous systems. A new identity model built on attestation is emerging.
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.