Sentinel AI raises $60M to scale multimodal security monitoring for enterprises

AI · 4 min read

Sentinel AI’s engine correlates event streams, anomalous image patterns from edge cameras, and LLM-summarized logs to flag suspicious sequences that traditional SIEMs miss. The platform supports rapid rule authoring through natural language and automated feedback loops.

The funds will expand cloud deployments, add SOC-grade feature sets like analyst workflows and case management, and strengthen data governance features tailored to regulated industries. Sentinel is also releasing an on-prem option for highly sensitive customers.

Investors included cybersecurity specialists and a strategic enterprise software partner. Sentinel AI will use proceeds to expand partner integrations and invest in model robustness and explainability for SOC analysts.