Deep Model Trust · In Production
Deep Model Trust · Agentic SDLC

Turn agent assurance into a release control.

Agentic SDLC operationalizes the Fisher loop across the software lifecycle — generating candidate mitigations, verifying them on isolated replicas, measuring regressions, and gating release on evidence.

How it works

Close the loop: fix, then prove the fix.

Fisher finds and proves failures, produces remediation guidance, and re-tests approved fixes. Agentic SDLC extends that loop into CI/CD, regression testing, change approvals, and evidence-gated release processes.

01
Proposed

A candidate mitigation is generated with its rationale, scope, and expected trade-offs.

02
Verified

The original exploit is replayed and a fresh adaptive re-attack runs against the remediated replica — honest grading, no self-reported greens.

03
Governed release

Production changes remain human-approved and evidence-gated.

Ready to see it on your own agent?

A 30-Day Agent Assurance Assessment turns your riskiest workflow into reproducible, framework-mapped evidence.

Request an Assessment →