Empirical Security Secures $12M for Custom AI Cybersecurity Models

Empirical Security has raised $12 million in seed funding to advance its custom AI models for cybersecurity, announced in a press release. The funding round was led by Costanoa Ventures, with participation from DNX Ventures, Sixty Degree Capital, and several strategic investors.

Empirical Security, founded by former Kenna Security executives, focuses on creating data-centric, customized cybersecurity defenses. The company develops 'local models' tailored to each organization's unique data and infrastructure, enhancing the accuracy of threat predictions. This approach contrasts with the traditional use of generic global models, which may not address specific organizational needs.

The company's dual model architecture combines global models, trained on extensive datasets, with local models that adapt to individual customer environments. This strategy aims to provide precise, evidence-based risk analysis, empowering security teams to make informed decisions.