Zenable
AI coding guardrails and PR review that enforce your security and product requirements
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zenable.ioAbout Zenable
Zenable is a guardrail layer for teams whose developers are shipping large volumes of AI-written code. Its framing is blunt: agents produce more code than review capacity can absorb, and the failure mode is not that the code does not compile but that it quietly violates the organisation's security and product requirements. Zenable attaches at two points. In the IDE it constrains the agent while it works — Claude Code, Cursor and VS Code are named — so requirements are enforced during generation rather than discovered afterwards. On the repository it installs as a GitHub App and reviews pull requests, producing automated summaries and agentic reviews against custom context learned from your own code and documentation. The company states plainly that it does not train or fine-tune models on user code on any tier, free included, which is the first question a security team asks of a product in this category. Limits are expressed in two units that make the tiers easy to compare: pull-request reviews per week and agentic code-review credits per day. Setup is described as two clicks and the free tier requires no trial or card, which makes it unusually easy to evaluate against a real repository before committing budget.
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Key Features
Zenable Pros & Cons
✅ Pros
- +Free tier is large enough to evaluate against a real repository
- +Catching requirement violations in the IDE is cheaper than catching them in review
- +No-training policy applies to free users too, not just paying ones
⚠️ Cons
- −$99/user/month is steep for a small team, and it is annual-billed
- −Credit-per-day limits mean a heavy refactor week can hit a ceiling
- −Guardrail coverage is tied to specific AI IDEs rather than being editor-agnostic
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