Cybersecurity & AI trust
Cybersecurity for the age of autonomous agents.
Agentic AI can operate any interface a person can, which breaks every control that assumed a human was on the other end. We build and test the security that era needs: autonomous security operations, agent permission boundaries, adversarial testing, and continuous proof that a human is behind the session when it matters.
Autonomous security operations
In a security operations center built around autonomy, detection triggers an investigation rather than a ticket. The platform gathers context from endpoints, identity, network flow and threat intelligence, contains within limits that people set in advance, and records the evidence as it goes. Analysts move from clearing a queue to setting intent: what the system may do alone, what needs approval, and where the red lines are.
For federal agencies, defense contractors and critical infrastructure, that platform has to run on infrastructure the operator controls, without shipping telemetry to someone else's cloud.
Securing AI agents
An agent with tools and credentials is a new kind of insider. We design and test the boundaries around it.
Permission boundaries
Least-privilege tool access, scoped credentials and explicit approval steps for actions that move money, data or equipment.
Prompt injection and tool misuse
Adversarial testing against the ways an agent can be steered by the content it reads, mapped to the NIST adversarial machine learning taxonomy.
Audit by design
Every autonomous action leaves a record a reviewer, an auditor or a court can follow.
Continuous human verification
Proving a human authorized an action is the control the agentic era broke. Our product MagenTrust re-establishes identity continuously during a session using behavioral biometrics, cannot be phished, needs no second device, and runs inside the customer's perimeter. Human Exclusion Zones define where automation may act alone and where a verified person is mandatory, enforced by the system rather than by a policy document.
Red teaming and independent validation
We test security and AI products we did not build: claim decomposition, a frozen test protocol, instrumented measurement, adversarial testing and a reproducible report that includes the failures. Governance alignment covers the NIST AI Risk Management Framework, Executive Order 14028 secure development practice, and the evidence CMMC and FedRAMP reviewers ask for.
Questions about cybersecurity & ai trust
What is AI-native cybersecurity?
AI-native cybersecurity means the security operations center is built around autonomous investigation and response from the start, with people supervising outcomes and setting limits instead of processing alert queues. Bolting a summarization layer onto a legacy workflow is AI-assisted, not AI-native.
How do you secure AI agents?
By limiting what an agent can do and testing how it can be misled: least-privilege tools and credentials, approval steps for consequential actions, adversarial testing for prompt injection and tool misuse, and complete logs of every autonomous action.
What is continuous human verification?
Continuous human verification re-establishes who is behind a session throughout the session, not only at login. Our product MagenTrust does this with behavioral biometrics, such as how a person types and moves, processed inside the customer's perimeter.
Can your security tools run air-gapped?
Yes. Our security work is designed to run on-premises, air-gapped, or in the customer's own cloud, with no requirement to send telemetry outside the perimeter.
Do you red-team AI systems built by other vendors?
Yes, through our independent validation practice. We test to a protocol agreed before measurement, report failures as well as passes, and do not act as a third party for systems we engineered.
Go deeper
- AI-native cybersecurity and the autonomous SOC
What changes when the SOC acts on its own.
- MagenTrust
Continuous human verification.
- Independent AI validation
Red-team and claim testing.
- How to validate a vendor's AI robustness claims
A test plan you can reuse.
- CMMC and AI tools
For defense contractors.
- Government and defense AI
SDVOSB, built for federal set-asides.
Start with a briefing: one real problem, the constraints around it, and what a scoped pilot would measure.
Talk to The AI Cowboys