About CyberArmor.AI

We're Building the AI Security Runtime
Enterprise AI Needs.

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 runtime controls that inspect AI activity, enforce policy, redact or block risky content in supported paths, route approved provider traffic, and preserve decision-level evidence.

This is not a dashboard company. This is not AI governance theater. CyberArmor.AI is a technical security runtime built for CISOs, AppSec teams, security architects, and operators who need controls they can enforce and evidence they can defend.

Founder-Led

Built by a Security Practitioner for Teams That Need Control and Proof.

CyberArmor.AI is founder-led by Patrick Kelly and built from the operating reality of enterprise security: policy has to become enforcement, sensitive data has to be protected before exposure, incidents need evidence, and AI adoption cannot wait for a perfect governance program.

The company is intentionally transparent about product maturity, design-partner work, and where the platform is strongest today. That posture is part of the product.

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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.

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AI Security Runtime

Detection, policy, routing, identity, enforcement, response, and evidence

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 the public brand and product site operated by CyberArmor AI, Inc. Official CyberArmor.AI web properties are served from cyberarmor.ai and its subdomains, including app.cyberarmor.ai, admin.cyberarmor.ai, docs.cyberarmor.ai, and support.cyberarmor.ai. CyberArmor.AI is not affiliated with similarly named third-party domains, services, or social profiles unless they are explicitly linked from one of those official properties.

Get Started

Ready to Control and Prove AI Activity?
Let's Talk.

See how CyberArmor.AI maps to your AI activity, data leakage risk, agent workflows, provider usage, runtime controls, and evidence needs. The best demos start with the control problem you already have.

No spam. No hard sell. Every request is reviewed personally.