How AI Agents Turn Cloud Alerts into Proven Attack Paths
Your CSPM flags thousands of misconfigurations and almost none of them are reachable. Garima Maithani, AI Transformation & Strategy Engineer, and Prakash Ashok, Head of Security, show what changes when agents stop scoring cloud alerts and start chaining them: taking a raw finding, walking the identity and network hops an attacker would actually use, and returning either a proven path to something that matters or a clear answer that the alert goes nowhere.
What you'll take away
Why severity scoring keeps ranking cloud alerts that no attacker can reach, and what replaces it
How agents chain identity, network, and workload context into a path instead of grading each finding on its own
What proof of exploitability looks like for a cloud finding, and what it takes to trust it without re-testing by hand
The honest answer on which cloud alerts you can close without touching, and which ones are worth waking someone up for
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