Articles on AI agent security, adversarial testing, posture management, and enterprise AI risk.
A one-sentence prompt change passed every normal check. A red-team gate in GitHub Actions caught it for 26 cents. The full workflow, real numbers from three runs, how to cap spend, and what to do when the build goes red.
Every AI agent your teams shipped can act on its own, including the ones nobody approved. Here's how CISOs prove agent security before a regulator or the board asks.
Humanbound's official GitHub Action gates a build on adversarial AI agent security tests, failing the workflow past a severity threshold and uploading findings to GitHub's Security tab as SARIF.
A working LangChain agent isn't a tested one. Wrap it in FastAPI, red-team it with Humanbound, and find out what it actually does under attack.
Ayan built a customer support agent in an afternoon, then pointed Humanbound at it and watched it fabricate a settled $185 refund for an order that does not exist. A hands-on walkthrough of running Humanbound's local adversarial testing against your own agent.
Splunk is where most SOCs already live. Here's how Humanbound streams AI agent security findings into Splunk as structured, HMAC-signed webhooks, so agent security gets the same real-time alerting and incident response as everything else the SOC already handles.
