Solutions and Use Cases
Here are the most common use cases involving our AI Provenance and Governance Platform.
Clarity and Confidence of Your AI Data
SettleTop maps AI and software creation activities and contributions, so you can trace your AI and software development to the origin, gain intelligence and strengthen your security, governance, and supply chain posture.
AI and Software Risk
Trace vulnerabilities, risk and threats back to the original source, whether it is AI-assisted or human-written - then prioritize fixes and close risk faster with better context.
Key features include:
Full code lineage record from commit —> build —> deploy.
Cross-link CVEs, CWEs, KEV and EPSS.
Hotspots and blast-radius views.
AI Governance
Build organizational trust by making AI-assisted and human contributions transparent, accountable and policy-aligned.
Key features include:
Shadow AI or unsanctioned AI.
Foreign influence risk and country of origin of your open source components, AI models, etc.
AI governance - policy-driven guardrails for AI tool usage.
Report on AI usage for external compliance regulation.
Return on Investment (ROI) of AI Development
Measure AI productivity and costs. Understand token spend, velocity gains, and quality impact over time.
Key features include:
AI spend as a percentage (%) of development budget.
Cost per developer and cost per repo.
Velocity and quality uplift trends.
Supply Chain Risk Management
Combine Human Intelligence (SCRM experts) with targeted solutions for risk mitigation strategies.
Key features include:
Software supply chain management and risk monitoring of supplier base.
Compliance readiness (e.g., CMMC) as required by governmental agencies.
Supply chain risk assessment, policy support and consulting.