About CyberArmor.AI

We're Building AI Security
You Can Prove.

CyberArmor.AI was founded on a straightforward observation: enterprise AI adoption is accelerating at a pace that the security industry was not built to address. Existing tools — SIEM, DLP, endpoint protection, network security — were designed for a world without autonomous AI agents, large language models, and AI-powered workflows that cross every trust boundary the enterprise spent years establishing.

The gap between AI adoption speed and AI security capability is real, growing, and creating risk at board-level scale. We built CyberArmor.AI to close that gap with controls that work in both directions: hostile content is gated before it becomes AI context, policy is enforced on every AI action, secrets and PII are redacted before they leave, approved provider traffic is routed, and recorded decisions are preserved as evidence.

This is not a dashboard company. This is not AI governance theater. CyberArmor.AI is the independent AI-security platform for regulated enterprises — enforcement in both directions at every control point, evidence mapped to 18 compliance frameworks including SEC, FINRA, and NYDFS 500, honest about what's production, and provable on your own laptop in 15 minutes.

Founder-Led

Why I built CyberArmor.

A career across application, data, cloud, identity, and AI security, on both the enterprise and vendor sides of the table, taught me one thing: security policy matters only when it becomes enforceable. And AI changed the thing security has to protect. Trust itself.

AI systems act on information they did not create and cannot verify. People are asked to tell authentic communications from synthetic ones. Organizations adopt AI faster than governance can follow, and autonomous agents read, decide, and act at machine speed. I did not believe another dashboard was the answer.

So I did not start with a pitch deck. I started writing code: infrastructure that governs what AI can trust, what it can access, what it may disclose, and what it can send back, with recorded decisions sealed to a tamper-evident ledger. Keep humans in control of AI, and make that control provable.

Conviction is easy to claim. I turned mine into working software, and made the evidence public.

Patrick M. Kelly Jr. · Founder, Chairman & CEO

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Security practitioner

Built from application, data, cloud, endpoint, identity, and AI security operating problems.

Hands-on builder

Rooted in working controls, tests, demos, runbooks, and deployment paths instead of slideware.

Enterprise lens

Designed for regulated environments, uneven ownership, legacy systems, and real security-team workflows.

Our Mission

Make Enterprise AI Controllable.
Make Trust Provable.

Our mission is to help enterprises adopt AI with confidence by making AI activity controllable, attributable, and provable across users, applications, agents, APIs, providers, models, and data.

We believe evidence without control is weak, and control without evidence is operationally dangerous. The enterprises that can show how AI requests were inspected, routed, redacted, blocked, allowed, and recorded will move faster with less ambiguity than teams relying on policy documents alone.

Talk to the Founder

AI Security Platform

Detection, policy, routing, identity, enforcement, response, and evidence — inbound and outbound

Patent-Pending Architecture

Protection-backed evidence, AI trust verification, and cross-layer control

Enterprise-Focused

Built for production complexity, not controlled demos

Honest Product Maturity

Clear boundaries between pilot-ready capabilities and roadmap expansion

What We Stand For

How We Build.
Why It Matters.

Control Over Coverage Theater

We build controls that can act, not diagrams that only imply coverage. Every capability should map to a demonstrable AI security workflow: inspect, decide, enforce, respond, or prove.

Transparency in Everything We Do

We don't overclaim. We don't hype. We tell enterprises exactly what the platform does, what it doesn't yet do, and where we're taking it. Our customers make security decisions — they deserve accurate information.

Enterprise-Grade Rigor

We build for production environments, not POC labs. That means real integration complexity, real operational constraints, and real security requirements. We hold our own engineering to the standard we ask our customers to hold their AI systems.

Protection-Backed Accountability

Evidence matters most when it is bound to a control decision. We build for records that explain who or what acted, which policy applied, what response ran, and why.

Category Conviction

We believe AI security is becoming one of the most consequential security categories of the next decade. We're building accordingly — with the architecture, the defensibility, and the long-term vision to lead it.

Patent-Pending Innovations

CyberArmor.AI's core architectural innovations — including our approach to AI trust verification, protection-backed evidence, runtime policy enforcement, and cross-layer security operationalization — are the subject of patent applications currently in process. These innovations represent the foundational differentiators of the CyberArmor.AI platform and reflect our commitment to building a technically defensible, category-defining security capability.

Official brand and domains: CyberArmor.AI is operated by CyberArmor AI, Inc. Official web properties are served from cyberarmor.ai and its subdomains — app, admin, docs, and support. CyberArmor.AI is not affiliated with similarly named third-party domains, services, or social profiles unless they are linked from an official property.

Get Started

Adopt AI. Keep Control.
Prove Both.

Infrastructure you cannot touch is a promise. Run the trust gate on your own machine in 15 minutes: gate a hostile page, watch the verdict come back, and read the hash-chained evidence entry it leaves behind. No sales call, no cloud account, no trust required in advance.

See how a 30–60 day pilot works →
No spam. No hard sell. Every request is reviewed personally by the founder.