
Enterprise platform for AI visibility, safety evaluation, and runtime control.

Enterprise platform for AI visibility, safety evaluation, and runtime control.
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ThirdLaw is an enterprise AI security company based in Berkeley, California. The company builds an operational platform designed to provide visibility, evaluation, and control over AI systems deployed in enterprise environments. The platform addresses operational risks specific to AI systems, including: - Observability of AI behavior across applications and agents - Detection and management of sensitive data exposure in prompts, tool calls, and outputs - Runtime controls with interventions supporting human review - Enforcement of security and compliance policies at the point where AI decisions are made - Incident reconstruction with contextual audit trails ThirdLaw's platform is built for "day-two operations," meaning it targets the ongoing operational management of AI after initial deployment rather than pre-deployment configuration. It supports security and IT teams in monitoring AI interactions, evaluating them against safety and security expectations, and intervening when necessary. The company's target market is enterprise organizations running AI applications and agents, particularly those with existing security and compliance requirements. The platform is designed to integrate into current tools and workflows without requiring a full infrastructure rebuild. ThirdLaw was founded by Ed Albanese, who previously held leadership roles at VMware, Cloudera, MongoDB, Splunk, and Vectara. The team has backgrounds from organizations including Google, Amazon, Palantir, Meta, OpenAI, Waymo, and US Navy Research Labs. The company is backed by Dell Technologies Capital and Xfund.