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Builder Center ·Level 200 ·Part 1 of 8

Why agent containment suddenly matters

In 2026, enterprise AI agents stopped advising and started acting, wired to tools, credentials and other agents.

By Faris Haddad · Published Oct 2026 on Builder Center
Why it matters
The year's widely reported escapes at OpenAI, Anthropic and AWS weren't sandbox breakouts but failures of egress, credentials and configuration, and the damage scaled with how long something outside the agent took to stop it. That reframes containment from an architecture choice into a measurement problem.
What you'll get
Why containment became urgent, and why time-to-stop is the number that matters.
Who should read it
Platform & security architects, CISOs, AI risk & governance leaders
Cross-industry AI governanceAI securityAgentic AIAgent containment Why (thought leadership)
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Builder Center L300·Oct 2026

Software controls: stopping an agent in the request path

The problem: Which controls actually stop an agent, and which only tell you after the fact?

Cross-industry AI governanceAI security
Containing the Agent, Counting the Value · Part 3Read →
Builder Center L400·Oct 2026

Hardware and out-of-band controls: stopping an agent from outside

The problem: Isolation is the baseline, not the answer.

Cross-industry AI securityAI governance
Containing the Agent, Counting the Value · Part 4Read →
Builder Center L300·Oct 2026

Proving a control works: evidence, not assertion

The problem: A control is only as good as its most recent proof.

Cross-industry AI governanceAI security
Containing the Agent, Counting the Value · Part 5Read →
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