Engineering
Software Development
Proofence checks AI-generated code, suggestions, and automated changes against policy and evidence, so engineering teams can adopt AI velocity without inheriting unexplained risk.
Bring verification and provenance to AI-assisted engineering.
AI now writes, reviews, and merges code, but the confidence of a generated suggestion says nothing about its correctness or safety. Proofence adds a verification layer to the development workflow, evaluating AI-produced changes against project policy, grounding recommendations in real context, and flagging the outputs that warrant a closer look before they reach the main branch.
The Proofence Engine verifies claims embedded in generated code and documentation, while AtlasProof by Proofence gives engineers a workspace to inspect why a change was proposed and what evidence supports it. Rather than rubber-stamping AI output, teams get a clear signal about which changes are trustworthy and which need human judgment.
AirTrustOS by Proofence lets engineering leaders codify governance across repositories and pipelines, defining where AI can act autonomously and where review is mandatory. Each automated change carries provenance and an audit trail, so teams can trace any line back to the reasoning, evidence, and approvals behind it.
Outcomes
Verified contributions
AI-generated changes are checked against policy and evidence before merge, catching risky output early.
Change provenance
Every automated change carries the reasoning and evidence behind it, making review and audit straightforward.
Governed automation
Teams set where AI may act freely and where review is required, keeping velocity and control in balance.
Capabilities applied
- Multi-model verification
- Evidence grounding
- Policy orchestration
- Human-in-the-loop review
- Audit & evidence generation
Bring verifiable trust to every AI decision.
Start in AtlasProof by Proofence, or talk to us about enterprise governance with AirTrustOS by Proofence.