Zenable
Zenable provides an AI-native governance platform that creates self-improving code verifiers and guardrails to enforce coding standards, security requirements, and business logic across development workflows. The platform integrates natively with AI coding agents and IDEs like Claude Code, Cursor, and VS Code, combining static analysis with agent-based review to catch issues before merge. It automatically learns from organizational code, documentation, and policies to generate machine-readable guardrails that improve over time through telemetry.
- Developer Tools
- Artificial Intelligence
- Cybersecurity
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
As development teams increasingly rely on AI coding agents, ensuring these agents consistently follow organizational standards, security requirements, and business logic becomes difficult. Without proper governance, AI-generated code can introduce vulnerabilities, violate coding standards, and fail to meet product requirements, creating significant review overhead and compliance risks.
Solution
Zenable provides an AI-native governance platform that creates self-improving code verifiers and guardrails to standardize and enforce code quality across development workflows. The platform automatically learns from organizational documents, codebases, and policies to generate machine-readable guardrails that work natively with AI coding agents like Claude Code. It integrates directly into pull request reviews and AI IDEs, ensuring developers and AI agents follow both product and security requirements simultaneously. The system combines static analysis with agent-based review to catch security issues, business logic flaws, and coding standard violations, while telemetry data helps refine and improve the guardrails over time. Zenable also provides audit evidence with a deterministic record of every finding on every change, proving which controls ran.
Target Audience
Primary customers are software engineering teams and organizations using AI coding agents who need to enforce code quality, security, and compliance standards across their development workflows, from individual developers to enterprise organizations with 100+ developers.
Features
- Self-improving guardrails that automatically learn from organizational code, documentation, and policies
- Native integration with AI IDEs including Claude Code, Cursor, VS Code, Antigravity, Codex, Devin Desktop, Kiro, and Goose
- Automated PR summaries and custom PR guardrails for enforcing specific requirements
- Static analysis combined with agent-based review for comprehensive code checking
- Agent telemetry that monitors every agent's tool calls and skill use across every developer and repo
- Context management with evals that re-tune context for each model, optimizing requirements per model
- Token-free verifier rules that run while the agent writes, providing unlimited, reproducible, and fast runtime verification
- Audit evidence with a deterministic record of every finding on every change, proving which controls ran
- Human-in-the-loop policies that control exactly when and where a human signs off
- API access and CLI tool with git hook integrations for flexible workflow integration
- Custom context support for tailoring guardrails to specific organizational requirements
- Dedicated runtime environment and custom branding options for enterprise deployments