0
Applied AI·October 11, 2026·1 min read

‘Calling an AI agent “rogue” is a dangerous way of deflecting blame’: Tenable Field CTO on the implications of AI agent escapes and how they can be regulated

Share

Labeling misbehaving agents as “rogue” is an accountability dodge—regulators and courts will look at design, controls, and oversight, not the marketing language. If you deploy agents with real-world access, assume you own the blast radius and document your guardrails accordingly.

Applied AI

'Things are here, things are real - it’s here and now': Snowflake tells us why ensuring trust and reliability could be the key to unlocking the potential of the AI agentic enterprise

“Agentic enterprise” is code for letting software touch real money and real operations—Snowflake is arguing that data trust and reliability are the gating factors, not just model quality. If you want agents in production, your data contracts, lineage, and access controls need to be as mature as your model stack.