New Research / 2026
What an LLM Adds to Exposure Management
We connected an LLM to the Rootshell Platform to explore how AI can identify potential attack paths, connect exposure data and add context to security findings.
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Key Findings
What did we discover?
Potential attack paths
An LLM highlighted a plausible route from a lower-priority endpoint towards a critical cloud account, identifying connections that warranted further investigation.
Connected exposure data
Comparing findings with cloud and firewall configuration data surfaced gaps, missing assets and exposure discrepancies.
Relevant threat intelligence
Linking vulnerabilities to CISA’s Known Exploited Vulnerabilities catalogue and publicly reported threat actors added valuable context to existing findings.
Research conducted using test data. Potential attack paths were not validated through live exploitation.