F.01
Know which AI tools developers rely on, where AI-generated code runs, and what it impacts so you can close gaps in ownership and risk oversight.
F.02
Guide AI-generated code to align with your security requirements and industry standards, preventing misalignments and avoidable risks.
F.03
Apply required controls and approved patterns to AI code, apps, and MCPs so your organizational AI usage is fully covered and compliant.
Clover identifies AI-generated code and where it runs across repos, services, deployments, users, and MCPs, giving you full visibility into your AI footprint.
Clover integrates with AI code-gen tools to apply required controls, enforce secure patterns, and validate outputs in real time as developers code with AI.
Run framework-aligned automated reviews for AI features, using OWASP LLM and platform standards, with prioritized findings and clearly mapped mitigation steps.
Validate security requirements in code, detect design-to-code drift, and surface alerts directly in the developer flow and keep MCPs compliant.
Connect seamlessly to the tools you already use to extract context, route insights to builders, and make secure-by-design a natural part of your development flow.
Apply organization standards to AI-generated code and prevent policy drift.
Increase visibility into AI usage by uncovering hidden projects and mapping AI code.
Enable teams to use code-gen securely and stay compliant without adding friction.
Empower developers with AI and development fast and uninterrupted.
Match the speed of AI-assisted engineering with equal security scale.
Multiply security’s capacity with AI and enable AI development at high velocity.
Identify design to code drifts and Know when code drifts from design.
Elevate security standards & policies from dusty policies to adaptive security standards.
Adopt real time security guidance and get Security guidance that stays out of the way.
Detect & prioritize design risk and catch design risk before code is written.
