
How to Secure Employee-Built AI Agents From Prompt Injection
Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks.

Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks.

Learn how to secure employee AI agent usage: inventory shadow agents, set a fast approval policy, broker MCP access, and monitor continuously, with data.

HTTP header prompt injection hides instructions in response metadata that AI agents read. Learn how it works, how common it is, and a 6-step prevention checklist.

Learn how to monitor AI agents at work with a six-step framework: agent inventory, non-human identity, autonomy tiers, runtime logging, kill switches, and NIST/OWASP alignment.

Employees are building agent swarms with no registry, identity, or owner. Here's the governance model to manage AI agents in the enterprise without banning them.

Employees are running long-lived AI agents from the CLI. Here is what persistent AI compute is and a practical framework IT can use to govern it.