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Problem

How to Prevent Untested Agent Behaviors in Production

Practical techniques to prevent, detect, and respond to untested agent behaviors in production AI agents. Vendor-neutral methods plus runtime detection.

Last updated 25 May 2026

Production behaviors that were never covered by the eval suite — discovered through user incidents.

A practical guide to untested agent behaviors — what it is, what causes it, how to stop it before it ships harm, and how to catch it when prevention fails.

What it actually looks like in production

  • Agent handled an input pattern eval didn't include
  • Eval missed combinations of input + retrieval state
  • New user segment encountered behaviors not in test set

Why it happens

  • Eval set frozen too early
  • Test inputs don't reflect production distribution
  • Bug reports not fed back into eval

How to prevent it (vendor-neutral)

1. Continuously grow eval set from production incidents

2. Production sampling into eval set

3. Adversarial inputs in eval

4. Coverage tracking per intent / scenario

How Prefactor helps detect and prevent it

Prefactor sits at the agent runtime and contributes specifically:

  • Runtime guardrails that flag or block matching patterns before they land
  • Continuous eval suites that catch quality regressions on every change
  • Tamper-evident logs of every incident and response action
  • Per-agent anomaly alerts on the signals listed below

Detection — what to monitor

  • Quality on eval set high but incidents in production
  • Bug reports clustering in untested areas

Response — what to do when it happens

Immediate (minutes): confirm the incident from the trace; pause the affected agent if active harm possible; hotfix the trigger.

Short-term (hours): add the failure case to the eval suite; patch the root cause; redeploy with regression validation.

Medium-term (days): root cause analysis; tighten guardrails or controls; document the incident for post-mortem and audit.

FAQ

Can untested agent behaviors be eliminated entirely? Usually no — reduce frequency and severity dramatically, and contain blast radius. Aim for low, detected, and contained.

How often should we test for this? Continuously, with every change. Every reported incident becomes a test case.

Can Prefactor detect this in real time? Yes for many variants — guardrails run in-line with sub-second latency.

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