01
Architecture Specs
Service boundaries, dependencies, design constraints, ownership, and acceptance criteria live beside the work.
GUARD · AI SDLC CONTROL PLANE
Govern AI coding.
Keep humans accountable.
Guard makes your specifications executable across planning, generation, verification, approval, and pull-request delivery—without forcing teams to change IDEs or models.
THE GOVERNANCE GAP
Control must begin before CI.
AI assistants can create code before architecture, security, and compliance controls see the change. Guard brings approved context into the implementation loop and keeps a chain of custody from intent through release.
UNGOVERNEDPolicy arrives too late
UNAUDITABLEEvidence is fragmented
UNACCOUNTABLEExceptions lack an owner
EXECUTABLE CONTEXT
Make every AI change prove it is ready.
Guard installs into AI-assisted development and checks each implementation cycle against versioned specifications, tests, policy, and security controls.
02
Security Specs
SAST, dependency, secrets, pipeline, container, and infrastructure checks run before work moves forward.
03
Quality Gates
Tests, lint, types, compliance, cost, and reliability results are persisted for review.
04
Human Decisions
Yellow and red gates pause with context. People retain approval authority and every exception is recorded.
HOW IT WORKS
From intent to production evidence.
Plan
Turn requirements into a shared specification with architecture, security, ownership, and acceptance criteria.
Build
Let coding agents implement against the approved spec inside the developer's existing IDE.
Verify
Run unit tests, lint, types, SAST, SCA, secrets, CI/CD, and IaC checks on every cycle.
Approve
Score delivery stages green, yellow, or red and route gaps to the responsible human reviewer.
Operate
Persist findings, decisions, and stage progress so every pull request carries its evidence trail.
OPEN BY DESIGN
Govern the workflow, not one model.
The same specifications, checks, gates, and evidence follow teams across Claude Code, GitHub Copilot, Cursor, Windsurf, hosted models, and private endpoints.
OpenAI
Anthropic Claude
Google Gemini
AWS Bedrock
Azure OpenAI
Ollama
Cohere
Mistral
GOVERNED REMEDIATION
Close the loop without removing human control.
01Alert firesTelemetry, incident, or security signal
02Root causeTrace the signal to the change that caused it
03Fix generatedCreate a spec-constrained remediation
04Policy checkRun security, quality, and compliance gates
05Human approvalNamed owner reviews the evidence
06Governed deployDeliver with PR, release, deployment, and rollback history
FOCUSED ADOPTION
Prove Guard on one real repository.
01
Install Guard
Use the CLI or scope a self-hosted deployment.
02
Select a repository
Choose one active codebase and named evaluation team.
03
Define controls
Version architecture, security, tests, thresholds, and reviewers.
04
Measure the pilot
Review findings, rework, gate outcomes, approvals, and adoption.
Ready to govern AI on a real repository?
Start with one team, one workflow, and one high-value policy set.