According to a paper published by Google, its AI-powered security agent has uncovered more than 500 XSS vulnerabilities across its web applications since entering full operation in January. PageBreak uses Gemini models to autonomously investigate potential vulnerabilities, but reports them only after deterministic validators successfully reproduce the exploit against a running application. By Renato Losio
Read the original at InfoQ: AI, ML and data engineering: Google Discloses PageBreak AI Security Agent That Found 500+ XSS Bugs
How OpenSmartRoute helps
Stories like this are why the router checks a request before it leaves. The input guard spots prompt injection and personal data. A hard rule can keep that text on an on-premises model, inside a region or under a cost cap, whatever the prompt asks for.
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.