Your scanner didn't find it. Mjolnir did.

Most security teams rely on automated scanners to catch vulnerabilities before they go live. The problem is that scanners are pattern matchers. They check for known signatures, run through a list of common CVEs, and call it a day. They don't think. They don't chain findings together. And they definitely don't test your business logic. That's the gap Mjolnir was built to fill.

What scanners miss

Scanners are great at catching the obvious stuff: outdated dependencies, missing headers, basic misconfigurations. But the vulnerabilities that actually get exploited in the wild are rarely that simple. An IDOR that only surfaces when you manipulate a multi-step workflow. An SSRF buried behind an AI-powered feature. A broken access control issue that requires authentication context to even discover.

These are the findings that show up in real pentest reports, not scanner output.

How Mjolnir works differently

Mjolnir is an autonomous pentest engine. It doesn't just scan. It reasons about your application the way a human pentester would, exploring attack paths, chaining low-severity issues into high-impact exploits, and testing the logic that makes your product unique.

It connects directly to your codebase via GitHub, understands your application's structure, and runs targeted attacks against real functionality. Not a checklist. An actual assessment.

Continuous, not periodic

Traditional pentests happen once or twice a year. Between those engagements, your attack surface changes with every deployment. Mjolnir runs continuously, catching regressions and new vulnerabilities as your code evolves.

Your scanner gives you a compliance checkbox. Mjolnir gives you the findings your scanner was never designed to catch.