As enemies get smarter, the lines between risk areas that used to be clear are becoming less clear. Most enterprise defenses are still tied to a broken, departmentalized architecture. Protos Labs is launching the 3C Intelligence Framework, which uses AI agents.
This model shows how enterprise risk intelligence work has changed over time. Instead of focusing on "singular wins," it now focuses on a unified risk management system that uses the power of AI agents to think, plan, and protect at machine speed. It makes three important parts of intelligence possible: 1. Cross-Functional Intelligence, 2.
Compounding Intelligence, and 3. The Institutional Memory Leak, which deals with the Latency of Information Sharing, and the Attrition Shield, which protects against losing people and knowledge.
You can pre-order the 3C Framework on Protos' website. Protos Labs wants to create a network of early warnings that is always active. Hundreds of "collector agents" work around the clock to find organic intelligence among users.
The real difference for modern security teams will be moving from a leaner, faster, and more coordinated way of responding to enterprise risks. Using the power of agentic AI, small human teams can quickly create thousands of agents to collect and analyze huge amounts of data. An army of AI agent analysts can now do what used to take a lot of people to do. The payoff: machines that can be resilient at high speeds.
The first investigation is a lot less informed than the 1,000th.
This makes sure that every investigation builds on the last one, so the 1,100th investigation is much more informed than the first. The reward is that information gathered from an attack in one area today can be used as a warning for another area tomorrow.
