AI coding agents are writing more code than ever. No surprise there, but they're also generating more security work than ever. The gap between what agents produce and what security teams can review, triage, and remediate is widening with every sprint. And while organizations are investing in AI to accelerate development, most are still asking their security tools to work the same way they did before agents existed.
There’s a clear mismatch here: AI agents shouldn't have to reverse-engineer your security posture from scratch every time they perform a task. They should have direct access to the contextual data that makes security work efficient: vulnerability details, upgrade paths, package impact analysis, and remediation guidance specific to your codebase.
Join us for this webinar where we'll introduce AURI Agent Hub, a new open-source toolkit that puts Endor Labs' rich security intelligence directly into the hands of your AI coding agents. We'll cover:
- Why security tools need to treat AI agents as first-class citizens
- How specialized agents reduce cost and improve outcomes
- Visibility into what your agents are actually doing
