Gitar, an AI security startup built to review code for vulnerabilities, emerged from stealth this week with $9 million in funding.
The problem it is solving is real: AI coding tools like Cursor and Claude Code have sharply increased the volume of code developers can write, but security review hasn't kept pace. One developer can now ship what previously required a team of five, which means more code going into production with less human review time per line.
Gitar uses AI agents - systems that take sequences of actions autonomously rather than just answering a single question - to scan codebases for security vulnerabilities, suggest fixes, and track issues across a project. The pitch is AI reviewing the code that AI helped write.
The Case for AI-Reviewing AI Code
Research has shown AI-generated code carries comparable vulnerability rates to human-written code, with some studies finding higher rates for specific attack types like injection vulnerabilities (where malicious input tricks a system into executing unintended commands). As AI-assisted coding becomes standard practice, a dedicated security review layer built specifically for that workflow makes logical sense.
$9M in a Crowded Field
The competitive reality is difficult. GitHub Copilot includes security scanning. Snyk has years of traction with enterprise development teams and has been adding AI-specific features. Several other AI security startups launched in the past 18 months with similar positioning. "We use agents" is not a sufficient differentiator in 2026 - detection quality and developer experience will determine whether Gitar earns a seat at the table.
Gitar has the right idea, but $9M doesn't buy much runway when Snyk's enterprise sales team is already in those same procurement conversations.