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AI Guardrails That Learn From You

AI coding assistants move fast. Too fast to catch every SQL injection, hardcoded secret, or architecture violation they introduce. Zenable learns your team’s standards and enforces them in real-time, catching bugs and security issues as AI generates code. Upload your requirements once, protect your codebase forever.
We never retain or train on your code. Your IP remains yours. Learn more

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Get Started

1

Install in your IDE

uvx zenable-mcp install
Don’t have uvx? Install UV here
Works with Cursor, Claude Code, VS Code, Antigravity, and 50+ other IDEs. Learn more
2

Add PR reviews

Setup GitHub or GitLab code reviews
3

Configure custom requirements (optional)

Go to zenable.app to add requirements or pick guardrails. Any configuration is automatically enforced across all IDE and code review integrations company-wide.

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How We Keep AI Code Safe

Spec-Driven Development

Enforce conformance and custom requirements directly in the SDLC. Provide context only when it matters to keep AI workflows efficient and precise.

Continuous Improvement

Automatically measure, learn, and refine prompts, context, and guardrails to reduce token waste and keep integrations healthy.

Evidence & Observability

Instrument the SDLC with metrics, telemetry, and audit-ready evidence. Turn usage data into actionable reports that double as compliance artifacts and performance KPIs.

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How It Works

Zenable combines fast deterministic security checks with AI-powered code review to catch issues instantly:
  • Real-Time Analysis: Checks code as your AI generates it
  • Auto-Fix: Get working fixes for security vulnerabilities and quality issues
  • Custom Standards: Enforce your team’s architecture decisions and coding standards
  • Multi-Layer Protection: IDE checks, pre-commit hooks, and PR reviews work together
Learn more about how Zenable works →

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See It In Action

# ❌ AI generates:
def get_user(user_id):
    query = f"SELECT * FROM users WHERE id = {user_id}"  # SQL injection risk
    return db.execute(query)

# ✅ Zenable fixes:
def get_user(user_id):
    query = "SELECT * FROM users WHERE id = ?"  # Parameterized query
    return db.execute(query, (user_id,))
# Zenable caught SQL injection and auto-fixed
See more examples →

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Enterprise-Grade Features

Upload your requirements, architecture decisions, and coding standards. Zenable automatically enforces them across your entire team. Learn about policy as code →
Automatically analyze and document existing codebases to identify security gaps, technical debt, and compliance issues. Explore code assessment →
Instrument your SDLC with metrics, telemetry, and audit-ready evidence. Turn usage data into actionable reports that feed continuous improvement while doubling as compliance artifacts and performance KPIs. View compliance features →
Analyze codebases for vulnerabilities, technical debt, and compliance gaps. Data-driven security insights across your entire application. Explore security assessment →

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Ready to Stop Shipping Bugs?

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Schedule Demo

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