Last week, the NVIDIA AI Red Team published their practical guidance for sandboxing agentic workflows. The headline stat: 97% of security leaders expect a material AI-agent-driven security incident in 2026 . Only 6% of security budgets are currently allocated to that risk.

That gap is terrifying. And it's understandable — most teams are still figuring out how to make agents work , not how to make them safe . But the threat model is real. Indirect prompt injection through a malicious pull request, a poisoned .cursorrules file, or a backdoored MCP server response can turn your helpful agent into an attacker's proxy with access to your internal APIs, customer data, and cloud credentials.

I've been running autonomous agents 24/7 on production infrastructure, and the security incidents I've seen weren't caused by sophisticated exploits.…