Investors
Building the Autonomous Security Layer for the AI Infrastructure Economy.
As AI infrastructure expands, the complexity and consequence of security incidents increase. CyberActive AI is developing patented autonomous security and resilience technology for AI workloads, GPU compute, and the infrastructure that connects them.
Investment thesis
Why the Opportunity Matters.
Growth of AI infrastructure
Expansion of AI training, inference, GPU cloud, and private AI increases the value, and the exposure, of the infrastructure behind it.
Patented intellectual property
Three approved patents cover adaptive detection, risk propagation, and impact-aware decision intelligence.
Differentiated infrastructure intelligence
As AI makes threat discovery more widely available, value shifts toward understanding consequence and deciding how to respond.
Potentially scalable licensing
Proposed models include platform subscriptions, infrastructure-based licensing, OEM, and channel distribution.
Model-agnostic architecture
The decision layer is designed to benefit from advancing AI models without depending on a single provider.
Clear development milestones
A staged path from architecture and IP through validation, pilots, and commercialization.
Development & commercialization
Milestones and Current Status.
- Available · implemented and demonstrable
- In Validation · developed, undergoing testing
- Planned · roadmap
- Verified IP · patent status confirmed
Intellectual property
- Three approved patents
- Patent documentation available under NDA
Platform foundation
- Core platform architecture
- Infrastructure dependency modeling
Intelligence & governance
- AI model training and validation
- Decision intelligence and governance modes
Commercialization
- GPU infrastructure integrations
- Technical pilot programs
- Enterprise readiness (SOC 2, ISO roadmap)
- Commercial deployments and partnerships
Commercial model
Proposed Commercial Strategy.
These are proposed and developing business models, not commercially validated results.
- Enterprise platform licensing
- Annual or multi-year subscriptions
- Infrastructure-based licensing
- GPU cloud operator licensing
- OEM and embedded licensing
- MSSP and channel distribution
- Professional services and integrations
Defensibility
Potential Competitive Advantages.
Proprietary intellectual property
Approved patents across detection, propagation, and impact-aware decisions.
Infrastructure dependency intelligence
A model of how AI infrastructure is connected, and how risk moves through it.
Impact-aware decision-making
Response chosen by consequence, not by rule alone.
Governed resilience architecture
Detection through verified recovery in one governed lifecycle.
Complementary positioning
Designed to work with existing tools and advancing AI models rather than compete with them.
Scalable distribution
Direct, OEM, MSSP, and operator channels under consideration.
For investors
Request an Investor Briefing
Detailed financials, capitalization, patent documentation, and diligence materials are available to qualified investors through a private process.
This page contains forward-looking statements about strategy, technology development, and plans, which involve risks and uncertainties. It is not an offer to sell or a solicitation of an offer to buy any security.