That's a great question, we also wanted to know so today we're releasing our public status page. It looks pretty good to us 🤩 Check it out yourself at zenable.io/status

Don't have everything as well documented as you'd like? Yeah, you and everyone else that we talk to.But that shouldn't stop you - in fact, now it doesn't! You can add requirements or controls directly through our interface and they will automatically (1) generate policy as code for deterministic enforcement, (2) get deployed into your tenant for use by the MCP server and PR Review bot, and (3) allow edits, disabling, re-enabling with just a click.

One of the things that stands out at Zenable is how extreme we take "ease of use." That's why we just released a new package which installs the Zenable MCP server and hooks for all of your projects, with just ONE command. Just run uvx zenable-mcp install and you're off to the races. Add --recursive if you're really feeling it, and check out the project on pypi to learn moreStay posted for some new features... 😁

Ever wish it was just that easy to prevent AI generated mistakes? Well now it's even easier, with our graph-based validation steps, now our reviews not only have world-class context engineering and deterministic validation, now they also have built-in double checks from their peers (🤖).

I know, it's hard to believe, but the Zenable PR reviews just got even smarter! Now every single review gets all of the context it needs, repo-wide. Our automation identifies the right context to pull into the review, and pulls it in so we've got the full picture.But don't worry, we don't save or train on any of your code, that's a promise. We pull in just what we need, only while we need it, then clean everything up to keep your code nice and safe (and 100% owned by you). Learn more by going to our FAQ and Security pages

When it comes to AI coding, nobody's better as of July 2025 than Anthropic (in our humble opinion). That's why we upgraded our MCP sever to use Anthropic's Opus and Sonnet models throughout! Now, not everything that our MCP server does uses AI (I know, shocking, right?), but when it does, now you're getting only the best - Anthropic's Opus and Sonnet 4 models.

Are you a fan of the Gemini CLI? Yeah, us too. That's why we added first class support to our MCP server, including a managed installation process and full documentation. And get started in no time by running uvx zenable-mcp install gemini!

There are certain types of files that just aren't worth spending the time doing a line-by-line review of. Compiled code, generated files, or lock files are great examples in many cases. But, not everyone has the same files that they'd like to skip. That's why we now support both inclusion and exclusion criteria in our configuration file, so you can make the PR review bot even faster and more focused by telling it what to skip, and what to always pay attention to. Learn more in our docs.

Having multiple MCP tools can be confusing for LLMs; they don't know which one to pick. So, we made it easy. Now, all of our features are now available behind a single tool call. Don't worry, you still get 100% of the capabilities you're used to, and we've implemented a token system so even when you run out of premium tool calls, you'll still get unlimited calls to our deterministic conformance tests. Not familiar with conformance tests? Well, let me tell you, they're pretty 🔥. Specifications are the best way to guide AI tools to generate code that meets our expectations, and conformance tests are how we verify that's what's happening. If you're interested to learn more, just reach out! We're always happy to help.

We've revamped our entire onboarding process so now you can get started in minutes. Just install the GitHub App, configure the MCP server, or sign up for one of our paid tiers and you're all set with the full suite of Zenable integrations. Check out our feature deep dive to see all the juicy details