Editor's note, 2026-07-28: Robusto's model hardening and Paladin's runtime enforcement now ship as part of CortexaNet. This post is preserved as it was written.
AI agents are starting to do real work. They book, procure, file, and message other software on behalf of the people and businesses they represent. The useful version of this future is one where you can let an agent act without holding your breath. That is the problem Cortexa Labs works on.
When we looked at where trust actually breaks, we kept landing on three places. The model can fail. The action can be wrong. The network the agent transacts on can be open and unsafe. Each one needs a different answer, so we build a product for each.
The model: Robusto. We started here. Robusto stress-tests machine learning models, finds where they fail under adversarial input and drift, and generates targeted data to close the gap. A model that holds up is necessary, but it is not enough on its own.
The action: Paladin. A model that holds up still runs inside an agent that can act. Paladin enforces what an agent may do at runtime. The decision is deterministic and it happens before the action runs. Identity tells you who an agent is. Paladin governs what it may do.
The network: CortexaNet. Enforcement inside your walls is half the story. Agents also transact with other organizations. CortexaNet is the governed network where agents and approved businesses discover each other and act under policy, with a signed receipt for every important step. It is the live product today, in open beta.
The three fit together. Robusto hardens the model. Paladin governs the action. CortexaNet governs the network between organizations. One mission underneath all of it: make it safe to let agents do real work.
If that is your problem too, the fastest way in is the CortexaNet beta. You can request access from the site.
Cortexa Labs, Inc.