Gitar, a startup that uses agents to secure code, emerges from stealth with $9 million

Gitar emerges from stealth with $9 million, betting its AI-powered agents can secure the very code that AI is increasingly generating. | Contesto: cronaca

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• Gitar, a startup that uses agents to secure code, emerges from stealth with $9 million

Contesto

Gitar, a startup focused on securing software code, has publicly launched with a $9 million funding round after operating in stealth mode. The company's core proposition is the use of autonomous AI agents to review and secure code, a process it argues is increasingly critical as more developers turn to AI assistants to write that code in the first place. The company's emergence and substantial seed funding underscore a growing and urgent concern within the software industry: the security implications of the AI-powered development boom. As generative AI coding tools like GitHub Copilot and Amazon CodeWhisperer become standard for many developers, the volume of AI-assisted code is skyrocketing. This shift creates a dual-edged sword, accelerating productivity while potentially introducing new, automated classes of vulnerabilities that human reviewers, already stretched thin, may struggle to catch. Gitar's approach aims to automate the security review process at the same scale and speed at which code is now being produced. Rather than relying solely on static analysis tools or manual review, the company's system deploys specialized AI agents that simulate the reasoning of a security engineer. These agents are designed to understand context, business logic, and complex attack chains, theoretically identifying subtle vulnerabilities that simpler scanners might miss. The technology represents a move from tools that merely flag problematic code patterns to active systems that can reason about security intent. The $9 million investment, led by prominent venture firms, signals strong investor belief in both the market need and Gitar's technical thesis. The funding will be used to expand engineering and go-to-market teams. The startup enters a competitive application security landscape but is betting that its agent-centric, AI-native approach is uniquely suited to what it sees as a paradigm shift in how software is built. The core challenge it seeks to address is not just finding bugs, but keeping pace with the velocity of modern, often AI-augmented, development cycles. The ultimate question for Gitar and its potential customers is whether an AI can effectively police the...

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Categoria: cronaca