AI is accelerating vulnerability discovery, but faster discovery hasn't solved security teams' real problem: knowing whether they're exposed. In most cases, they already have the data to answer that question - it's just scattered across systems that don't talk to each other, and takes hours (if not days) to pull together.
In this webinar, Thomas Kinsella, Co-founder and CCO, and Andrew Katz, Senior Security Operations Engineer, at Tines, share what the Tines security team did to speed up exposure assessment, including a deep dive into the dashboard they built using Tines Apps, pulling together SBOM, application, cloud, and vulnerability data into a single view.
This reflects a principle the Tines team holds firmly: AI-era attacks call for deterministic defense. AI belongs at the design layer: identifying exploitable vulnerabilities and adapting response playbooks to help build more resilient systems. But execution should stay deterministic: fast, consistent, reviewed by humans before deployment, then executed at machine speed.