AI-Augmented Cybersecurity
Securing the AI Era.
// OUR CLIENTS
The threat moved. Most programs didn't.
AI has changed both sides of the fight. Attackers use it to turn a fresh disclosure into a working exploit in hours. The models, agents, and data pipelines you deploy create attack surfaces your current controls were never designed to cover. And regulators expect you to govern all of it with evidence, not assurances. We work on all three fronts. Our AI cybersecurity solutions rebuild vulnerability and exposure programs to operate at the speed of AI-driven attacks, compressing defensible decisions from weeks to hours. We secure the AI systems you put into production. And we turn your security program into evidence that stands up to audit.
Triage can't keep pace with exploitation
The window between vulnerability disclosure and active exploitation has collapsed from weeks to hours, and backlogs run to tens of thousands of findings while triage is still manual. Analysts spend their days classifying instead of deciding.
AI is new, ungoverned attack surface
The AI you deploy is new attack surface. Prompt injection, data poisoning, and over-permissioned agents sit outside the controls your program was built on, and auditors and regulators now ask how you govern AI, not whether you use it.
Open findings compound
Open findings compound. Every review cycle they stay open costs credibility and management attention.
Defense at the same speed as the attack.
01
The same AI that compressed the attack cycle can compress your defense: triage and classification in hours, with analysts focused on the calls that need judgment.
02
AI deployed with real controls becomes an advantage. While peers stall pilots on security concerns, you ship.
03
Evidence produced as a byproduct of daily work, not reconstructed before each audit.
04
Findings closed with documented root cause buy credibility with auditors and regulators for the next thing you want to do.
Four services, one program.
We offer four ways to close the gap between AI's pace and your program's controls. Each is scoped and sold on its own, and most clients start with whichever one is on fire, then add the others as the program matures.
Exposure Defense at Machine Speed
We rebuild vulnerability and exposure management, so triage happens in hours, not weeks, and decisions keep pace with how fast threats now move.
AI System Hardening
We threat-model and secure the models, agents, and pipelines you put into production, closing the gap between what you deploy and what your controls cover.
AI for Security Operations
We strengthen operational readiness with AI-drafted rollback plans, pre-cleared approvals, and consistent governance that holds up when things move fast.
Audit and Regulatory Readiness
We prepare your team for reviews and close open findings with evidence that holds up under scrutiny, so audits stop costing credibility and attention.
Fortify what AI puts at risk.
Most programs have never been stress-tested against a Mythos-class disclosure, so nobody knows where they would break. We run yours through a simulated scenario and find out, then use that baseline to build a two-layer decisioning architecture: a deterministic core for triage and classification, and an LLM layer that drafts audit-ready rationale for every decision. That architecture runs on live threat intelligence, with compensating controls in place where immediate patching isn't possible, so your analysts spend their time on the exposures that need human judgment. The same rebuild extends to AI moving into production and to the evidence regulators now expect.
KEV, EPSS, and vendor advisories feed the workflow continuously, keeping triage current instead of working from a static snapshot.
Where immediate patching isn't possible, AI-drafted WAF rules provide compensating controls with a defined expiry, so exposure is managed without leaving gaps open indefinitely.
We threat-model your AI systems the way attackers approach them, mapping prompt injection paths, agent permissions and tool access, training and context data integrity, and model and API exposure.
We build the controls that traditional tooling misses, including least-privilege agent design, input and output guardrails, and monitoring for AI-specific failure modes.
We map your program against the standards and supervisory expectations that apply to you, remediate open findings with documented root cause so they stay closed, and package a traceable evidence layer with board-ready metrics.
Every phase produces evidence your security team can attest to, so when a review or disclosure comes, the proof is already in hand rather than assembled after the fact.
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