Section 01

Executive Summary

A hardening path that turns pilot wins into dependable production systems.

Key takeaways

  • Threat model every agent and define its blast radius.
  • Bake evaluation gates into CI before major releases.
  • Use staged rollouts with clear rollback criteria.
  • Treat prompts and policies as versioned assets.

Who this is for

  • Engineering leaders scaling pilot agents to production.
  • Security teams that need AI-specific controls.
  • Product owners responsible for reliability targets.

Section 02

Production Readiness Signals

These signals show whether an agent is ready to move beyond a pilot.

Figure 00 · Agent Reliability Response Flow

Section 03

Hardening Workflow

Sequence security, evaluation, and rollout work so each stage earns the next.

Figure 01 · Squeeze Funnel

Speculation - Teams that run weekly red-team drills cut incident response time by half within the first quarter.

Section 04

Execution Notes

Use these guardrails to keep production launches safe and predictable.

Figure 02 · Community Funnel

Controls to implement before launch

Build in validation and auditing before broad rollouts start.

  • Introduce a policy test suite for every major prompt change.
  • Run manual reviews on the top 5% most sensitive outputs.
  • Set alert thresholds for model drift and latency spikes.
  • Publish a runbook for each agent with owners listed.

Sources

[1]
owasp.org/www-project-top-10-for-large-language-model-applications/Security risks and mitigations for LLM systems.
[2]
csrc.nist.gov/Projects/ssdfGuidance for secure software practices and controls.
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