Chicago-based Empirical Security, which uses AI to help companies predict threats by monitoring exploited vulnerabilities, raised a $25M Series A (Chris Metinko/Axios)

Summary

Empirical Security raised a $25M Series A after positioning its AI system around exposure management and monitoring exploited vulnerabilities.

Why it matters

Security buyers care less about generic AI and more about whether the product helps them rank, filter, and act on risk faster. That makes this a useful signal for enterprise AI products with a clear operational outcome.

Founder/operator read

If you're building security software, the moat is usually data, workflow integration, and trust. The closer you are to a recurring pain point in the security stack, the easier it is to justify budget.

Original source

Read original