Most security teams don't have a visibility problem anymore. Scanners and tools are good at finding issues. The problem is what happens next: findings pile up faster than anyone can act on them, and teams end up managing spreadsheets instead of actually reducing risk.

This session looks at Agentic Exposure Management, where AI Agents take on the investigation and response work directly across code, cloud, and infrastructure. Instead of another dashboard full of alerts, an agentic workforce aggregates and normalizes the noise, adds business context to figure out what actually matters, assigns the right owner, and gets the work moving, without someone chasing down who's responsible or updating a spreadsheet by hand.

We'll walk through what this looks like in practice: clearing a findings backlog, getting security and engineering on the same page, and building reporting that shows real risk reduction instead of just a longer list of things that were found.