Understanding threats and the consequences of protective action.
We develop security intelligence for decisions that carry real consequences.
Security intelligence uses evidence and reasoning to understand threats, assess consequences, and choose protective action. Its scope includes software, identity, networks, AI agents, and the physical systems they influence. A security decision must account for the service being protected, the people who rely on it, and the disruption an intervention could cause.
We develop technologies and build companies that bring these questions into practice. Working from first principles means examining how a system functions, which assumptions its defenses rely on, and what evidence could expose a failure. Our work connects investigation, software assurance, preemptive defense, and controlled action. The problem determines which methods and expertise are needed.
An unexpected event can have several explanations: malicious activity, a component fault, or an ordinary change in operation. Useful security intelligence connects observations, examines their sources, and asks what would distinguish one explanation from another. Logs, identity records, and physical measurements can each reveal part of the picture. The strength of a conclusion should remain traceable to the evidence that supports it.
AI agents can examine software, gather evidence, and carry an investigation across tools and systems. Their access introduces questions of authority, delegation, and trust. Retrieved material may contain instructions intended to redirect an agent. We are interested in systems that keep evidence separate from authorization, constrain each action to an explicit scope, and verify what happened after execution.
Protective action begins with understanding what it will change.
Preemptive security begins by examining the conditions that allow harm: unnecessary access, exposed services, vulnerable software, and dependencies that can carry a failure into another system. It asks which changes would remove a credible route to harm while preserving legitimate work. Decisions should account for uncertainty, operational constraints, and the consequences of being wrong.
A maintenance session that remains open after its authorized window offers a concrete example. Closing that session requires current evidence, valid authority, and confirmation that the intended access ended. Those checks should also preserve the operator's legitimate session and the local controller's operation.
A remote session remains active after its maintenance window. An independently enforced policy limits the protective action to revoking that session, followed by checks of the connection states.
Digital decisions reach into power, cooling, production, transport, and clinical operations. Extended operational technology (Extended OT) provides a useful way to examine the dependencies around these systems, including cloud services, remote access, and shared identities. The underlying questions remain concrete: what can influence the process, which protections operate locally, and how does the system behave when a dependency fails?
A dependency map becomes useful when it changes a decision. Security intelligence should help determine where intervention is warranted, what must keep running, and how recovery can be verified.
A protective decision should withstand scrutiny before and after it is carried out.
Preemptive defense, agentic systems, and the reasoning required to protect an interconnected world.
