Mission

Our Mission

We make enterprise AI safer to run and easier to control. We build for day-two operations.

AI is Different

The Realities We Design For

AI introduces operational risks that donʼt fit traditional security and monitoring patterns.

01

AI behavior is hard to observe

It changes often, is semantic and non-deterministic, and requires context to interpret.

02

Sensitive data enters the loop

Prompts, tool calls, and outputs can expose or retain
confidential information.

03

Agents take real actions

They can trigger changes across systems, increasing the impact of misuse and mistakes.

04

Policies donʼt translate to enforcement

Security and compliance rules often live in documents, not in the places decisions are made.

05

Incidents require reconstructable context

Teams need to know what happened, by whom, using which model, and under what conditions

06

Controls must fit existing operations

Safety measures need to integrate into current tools and workflows without a rebuild.

Platform

What We Build

An operational layer for enterprise AI that provides
visibility, evaluation, and control.

Visibility into how AI is used across applications and agents

Evaluation of AI interactions against safety and security expectations

Control at runtime with interventions that support human review

Screenshot of the ThirdLaw product interface

Leadership

Founder and CEO

Ed Albanese founded ThirdLaw after leadership roles at VMware, Cloudera, MongoDB, Splunk, and Vectara. His work has shipped into large-scale enterprise environments across infrastructure, analytics, and security. He previously founded Krypton, a venture-backed analytics company acquired by Splunk, and now focuses on helping Security and IT teams run enterprise AI with security, safety, and operational analytics.

Ed Albanese

AI, Under Control

See every interaction, stop what shouldn’t happen, and keep an investigation-ready incident trail.