Eval engineering: The missing piece of agentic AI governance
Nobody is talking about eval engineering. But it might be the difference between controlled AI agents and chaos.
Why it matters
As agentic AI systems move toward production, governance frameworks are lagging. Eval engineering—systematic testing and validation of agent behavior—emerges as a critical control mechanism that current solutions don't address, creating both a governance gap and a competitive advantage for teams that master it.
The key facts
10 to knowArticle focuses on agentic AI governance as foundational concern
Identifies eval engineering as underexplored solution to agent safety/control
References adversarial validators and multilayer validation as technical approach
Part of ongoing series on AI governance (indicates sustained analysis)
Published May 2026 (future-dated; treat as speculative/forward-looking commentary)
Article focuses on agentic AI governance challenges
Discusses adversarial validators and multilayer safety approaches
Part of ongoing series on keeping AI agents aligned
Addresses governance solutions for agent behavior control
Published May 2026 — forward-looking perspective on agent governance maturity
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: As artificial intelligence agents become more powerful, agentic AI governance becomes increasingly important – and yet, today’s governance solutions struggle to keep AI agents from going off the rails. In my last article in this series, I discussed the state of the art for keeping agents on the…