Red PicoLibrary

Enterprise AI & Agents

The AI Incidents That Make Headlines Are the Loud Ones. The Ones That Bankrupt Trust Are Silent.

The AI incidents that make headlines are the loud ones.

The ones that bankrupt trust are silent.

An agent quietly pulling more data than it should.

A model drifting a few percent every month.

A workflow automating a decision nobody officially approved.

By the time anyone notices, the exposure has been compounding for months.

This is why monitoring is not optional in agentic AI:

• Every agent action logged - who, what, when, on which data.

• Drift detection on both the model AND the data feeding it.

• Alerts on behavior change, not just system failure.

• Regular audits of what agents actually did vs. what they were approved to do.

Uptime dashboards tell you the system is running.

Governance telemetry tells you the system is behaving.

You need both.

First shared on LinkedIn.

Related

Go deeper: AI Audit Checklist: What Auditors Will Ask For | NIST AI RMF Explained: Govern, Map, Measure, Manage

Get the next one first

Weekly thinking on data and AI governance from Ash Srivastava.