AI Governance for Software Factories
Self-improving code verifiers to standardize and enforce code quality that natively work with Claude Code.
AI-native code review Wherever your developers work
Turn organizational knowledge into self-learning standards every developer, reviewer, and AI agent can follow












The difference in practice
Audit Evidence
Most alternatives: “We told an agent to check” doesn’t pass scrutiny.
Zenable: A deterministic record of every finding on every change, proving which controls ran.
Agent Telemetry
Most alternatives: Agents run on engineers’ laptops, with no centralized visibility.
Zenable: Monitors every agent’s tool calls and skill use, across every developer and repo.
Context Management
Most alternatives: Context rots and becomes less effective as models change.
Zenable: Evals re-tune context for each model, so requirements are optimized for every model you use.
Agent Interoperability
Most alternatives: Agents are configured individually.
Zenable: Integrate once, enforce all your requirements across every popular agent, IDE, and OS.
Agent Runtime Verification
Most alternatives: Unit tests and linters, or slow, costly AI reviewers that delay functional tests.
Zenable: Token-free verifier rules run while the agent writes: unlimited, reproducible, and fast.
Code Review
Most alternatives: Generic AI reviewers leave naive comments about your changes.
Zenable: Frontier model research and reviews against your requirements before each merge.
Recursive Self-Improvement
Most alternatives: Requirements are set top-down and never properly tuned for the real world.
Zenable: Learns from real-world scenarios and edge cases, and tunes your requirements to fit real business decisions.
Human Sign-Off
Most alternatives: All or nothing: a human blocks every change, or never.
Zenable: Human-in-the-loop policies control exactly when and where a human signs off.
Run your software factory,
on your terms
Requirements, context, and verifiers, synced into the software factory
Plan
Specs and prompts
ContextBuild
Agents write code
VerifiersDeploy
PRs and CI
ReviewRun
Your cloud
Admission
Signals, with scenario context
Agent telemetry plus feedback from humans and agents, each tied to its runtime details
Evals for every model
Real scenarios replay against each requirement and model, so context is tuned to what works
Context engineering
Each agent gets only the requirements that apply to its task, written the way its model follows best
Free
- 2-Click Setup
- Automated PR Summaries
- Documentation
- API Access
- 5,000 Zenable Credits/Seat/Week
Professional
- Everything under Free
- Team Management
- 200,000 Zenable Credits/Seat/Week
- Ensure AI Follows Your Requirements
- Verifier Rules for AI IDEs (Claude Code, Cursor, VS Code, etc.)
Enterprise
- Everything under Professional
- 100+ Developers
- 800,000 Zenable Credits/Seat/Week
- Dedicated Customer Success Manager
- Negotiable Terms of Service
- Dedicated Runtime Environment
- Custom Branding
Get a full whitebox code assessment. On us.
Finally ask your codebase the questions you could never get a straight answer to, and walk away with results you can act on. No AI slop, no hallucinations. Every finding is 100% reproducible, so you can verify every one yourself.
Bring your biggest, messiest, million-line monorepo. The bigger the haystack, the more impressed you'll be with the problems we find.

