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How To Keep Your AI Agents From Breaking The Internet

AI agents are live in production. Nobody is talking about what happens when they fail.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI agents move from sandbox to business-critical workflows, operational resilience and failure modes are becoming a board-level concern—not just a research problem. PagerDuty's exec articulates why agent drift and cascading failures could be 2026's biggest operational risk.

The key facts

8 to know
  1. PagerDuty Executive Chair Jenn Tejada quoted on AI agent operational risks

  2. Focus on agent drift, failure modes, and business disruption

  3. Published July 2026 — signals agent deployment at scale is live

  4. Frames agent reliability as infrastructure/governance challenge, not capability challenge

  5. PagerDuty Executive Chair Jenn Tejada on AI agent failure modes

  6. Agent drift and uncontrolled behavior as emerging business risk

  7. Shift from agent capability focus to agent reliability and governance

  8. AI agents moving into production workflows at scale

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: PagerDuty Executive Chair Jenn Tejada explains why AI's next challenge isn't building smarter agents—it's keeping them from drifting, failing and disrupting business.
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