Map what a model can touch, what an agent can trigger, and where a tool call can become a mission risk.
Capability / AI Security
AI Security
DO works where model behavior, tool access, identity, data exposure, and mission intent meet. The work is practical: understand the failure modes, test the boundaries, and turn AI risk into controls operators can trust.
FocusModels + agents
MethodEvaluate + harden
OutcomeDefensible autonomy
What We Do
From the hard question to a working answer.
Focused research, engineering, and validation built around your mission.
Test prompt, retrieval, identity, policy, and workflow assumptions against adversarial behavior.
Design review, logging, guardrails, data handling, approval paths, and response patterns for real teams.
Why DO
Experience earned in the work.
Machine-learning traffic detection research before AI security became a boardroom phrase.
Long-running reverse engineering and malware analysis discipline applied to model-enabled systems.
Mission engineering experience for environments where autonomy cannot be treated as magic.
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