Featured AI Trust System
ReplayGuard: Evidence-Backed Trust Gate for Automated Code Remediation
ReplayGuard is a patent-backed prototype for evidence-backed verification of automated code remediation. It demonstrates a simple but important thesis: automated software changes should not move forward on confidence alone. They should create evidence before they are trusted.
Problem
AI-generated code fixes can move faster than the evidence needed to trust them.
System
ReplayGuard verifies automated remediation through replay, byte comparison, and evidence capture.
Outcome
Each change is routed to ALLOW, BLOCK, or REVIEW before it moves forward.
ALLOW
Replay matched and evidence was recorded.
BLOCK
Replay failed and the change was stopped.
REVIEW
No deterministic remediation path was available, so human review was required.
Why now
AI-assisted software development is moving from suggestion to action. As AI coding agents and automated remediation workflows become more common, enterprises will need control layers between automated patch generation and merge or deployment workflows. ReplayGuard focuses on that trust boundary.
Patent-backed workflow
ReplayGuard is based on selected ideas from my issued U.S. Patent US 12,670,085 B1. The patent-backed idea is the trust workflow: deterministic remediation, replay verification, byte-level comparison, evidence recording, and gate decisioning.
Who this is for
ReplayGuard is designed for teams adopting AI-assisted code remediation, internal developer platforms, security automation, release governance workflows, and CI/CD environments where automated fixes need evidence before trust.
Product Judgment
Separating patch generation from patch trust
ReplayGuard is not positioned as another scanner or AI code generator. It is a verification layer around automated remediation. The product decision is to separate patch generation from patch trust, then expose that trust decision through API, SDK, CI/CD gate, evidence ledger, policy engine, and human-review routing.
Category
Trust infrastructure for automated software change.
Wedge
Verification gate for AI-assisted and automated code remediation.
Enterprise Value
Evidence before merge, deployment, or broader automation trust.
Prototype screenshots
The prototype demonstrates the trust gate, remediation verification path, and ledger-style evidence trail.
Product direction
The MVP proves the trust gate. The roadmap expands the integration surfaces around it: verification API, SDK, CI/CD gate, evidence ledger, policy engine, AI-agent verification layer, and human-review router.
Scope
ReplayGuard is a prototype/MVP for demonstration and research purposes. It is not a production security platform, complete scanner, published CI/CD plugin, or guarantee of secure code.