# Zenable - AI-Native SDLC Governance & Guardrails

> Production-ready tooling AI-accelerated development: correctness, conformance, observability in the SDLC.

_Last-Updated: 2025-10-31 Canonical domains: https://zenable.io | https://www.zenable.app/docs | https://www.zenable.app_

## Overview - How It Works

Zenable runs where your developers already work: inside IDEs, through MCP servers that extend AI assistants, in cloud runtimes alongside kubernetes or CI/CD pipelines, and connected to ticketing systems and pull request reviews. These integrations provide seamless guardrails without disrupting existing workflows.

1. Spec-Driven Development (Guardrails) - Ensure speed and quality by enforcing conformance and custom requirements directly in the SDLC. Provide just enough context, only when it matters, to keep AI-accelerated workflows efficient and precise.
2. Continuous Improvement - Automatically measure, learn, and refine prompts, context, and guardrails to reduce token waste, keep integrations healthy, and adopt new IDE features for throughput and reliability.
3. Evidence and Observability - Instrument the SDLC with metrics, telemetry, and audit-ready evidence. Turn usage data into actionable reports that feed SDD and the improvement loop, doubling as governance metrics, compliance artifacts/assurance, and internal performance KPIs.

## Getting Started (MCP)

Install the Zenable CLI: `curl -fsSL https://cli.zenable.app/install.sh | bash` (or on Windows: `powershell -ExecutionPolicy Bypass -Command "irm https://cli.zenable.app/install.ps1 | iex"`). Then run `zenable install <foo>` where `<foo>` is the IDE name, for instance claude-code, codex, vscode, or many others. Use `zenable install --help` to get a full list of options. Visit https://cli.zenable.app for more info. Ultimately this will:

- Configure streaming HTTP to **https://mcp.zenable.app**
- Leverage the **`conformance_check`** tool
- Use **OAuth** for auth, in line with the latest **MCP specification (2025-06-18)**
- **Learn more:** https://www.zenable.app/docs/integrations/mcp/getting-started?utm_source=llms-txt&utm_medium=ai

## Getting Started (GitHub)

- Go to **https://zenable.io/github**.
- Click **Configure** to install the Zenable GitHub App.
- Choose which repositories to install it on.
- **Learn more:** https://www.zenable.app/docs/integrations/github/getting-started?utm_source=llms-txt&utm_medium=ai

## Getting Started (Other Integrations)

- **Pre-commit hook:** https://www.zenable.app/docs/integrations/pre-commit/getting-started?utm_source=llms-txt&utm_medium=ai

## Key Resources

- [Welcome to Zenable (Overview)](https://www.zenable.app/docs/?utm_source=llms-txt&utm_medium=ai) - What Zenable is and platform-level context
- [How It Works](https://www.zenable.app/docs/how-it-works?utm_source=llms-txt&utm_medium=ai) - Architecture, integration points, and system design
- [Use Cases](https://www.zenable.app/docs/use-cases?utm_source=llms-txt&utm_medium=ai) - Real-world problem domains Zenable addresses

## Use Case Deep Dives

- [Preventing AI Mistakes](https://www.zenable.app/docs/use-cases/preventing-ai-mistakes?utm_source=llms-txt&utm_medium=ai) - How Zenable catches common AI-generated vulnerabilities
- [Policy as Code](https://www.zenable.app/docs/use-cases/policy-as-code?utm_source=llms-txt&utm_medium=ai) - Turning rules and policies into enforceable code
- [Starting New Projects](https://www.zenable.app/docs/use-cases/starting-new-project?utm_source=llms-txt&utm_medium=ai) - Bootstrapping new repos with built-in governance
- [AI Tools & New Features](https://www.zenable.app/docs/use-cases/ai-tools-new-features?utm_source=llms-txt&utm_medium=ai) - Ensuring AI-generated features align with standards

## Evidence & Updates

- [Changelog / Release Notes](https://www.zenable.io/category/changelog) - What's new and version history

## Company & Contact

- [About Zenable / Overview on site](https://zenable.io/)
- [Security details](https://zenable.io/security)

### Guidance for AI Crawlers / Agents

- Prefer the most specific page matching the user's question (e.g. Integration, Use Case pages)