Autonomous Security & Resilience

Protecting the Infrastructure Powering AI and Critical Operations.

Autonomous security and resilience for AI infrastructure and mission-critical environments.

CyberActive AI provides patented autonomous security and resilience technology designed to protect AI/GPU infrastructure, data centers, cloud environments, and mission-critical systems — wherever an incident, failure, or disruption carries significant business, financial, or societal consequence.

Detect threats.Understand impact.Make intelligent decisions.Coordinate response.Restore operations.

Normal operations
Illustrative platform simulation
Patented
Built on approved patented technology
Human-governed
Observe, approve, or autonomous modes with override
Complementary
Designed to work with existing security and infrastructure tools
Independent
Technology provider partnering across operators globally
The infrastructure challenge

AI Infrastructure Is Scaling Faster Than Traditional Security Can Respond.

The new adversary

AI has changed cyber warfare.

For decades, attacks were planned and executed by people. Today's adversaries increasingly use AI to operate autonomously — evolving faster than human-operated teams can investigate, coordinate, and respond.

Machine-speed attacks require machine-speed decisions.

AI-powered adversaries continuously
Discover exposed AI and GPU infrastructure
Morph malware to evade detection
Adapt in real time to defensive actions
Evaluate thousands of attack paths at once
Generate adaptive exploits
Compromise identities and service accounts
Coordinate across cloud, identity, and workloads
Learn from failed attempts
The CyberActive platform

One Intelligence Layer. Across Your Entire Infrastructure.

CyberActive AI is the autonomous security and resilience intelligence layer for the infrastructure powering AI and critical operations. It brings together infrastructure context, cyber risk evaluation, decision intelligence, coordinated response, and recovery orchestration — designed to complement, not replace, existing security and infrastructure investments.

Stage 01 · Detect

Signals from compute, identity, network, storage, and existing security tools are evaluated continuously for behavior that departs from established operating patterns.

What happens at this stage
Ingests telemetry from existing security and infrastructure tools
Behavior-oriented analysis, not signatures alone
Designed to surface previously unseen activity
See the CA AI Core →
Securing AI & GPU workloads

Your AI Is Only as Valuable as It Is Secure.

GPU clusters, models, and training data represent extraordinary concentrations of value — and extraordinary targets. CyberActive AI applies autonomous security technology to the assets that matter most in AI infrastructure, understanding each workload in the context of the compute, identity, and data it depends on.

Threats we're built for Model theft & exfiltration Data & model poisoning GPU resource hijacking Tenant breakout Control-plane compromise Inference API abuse
01

Model weights & checkpoints

Your most valuable IP. Detect anomalous access, exfiltration, and tampering of trained models and training checkpoints.

02

Training pipelines & datasets

Protect data integrity across ingestion, preprocessing, and training — where poisoning and supply-chain compromise begin.

03

Inference endpoints & APIs

Identify abuse, credential misuse, and anomalous traffic against production inference services.

04

GPU clusters & management planes

Context across GPU hosts, BMC and management interfaces, fabric, and firmware — where a single compromise has the largest blast radius.

05

Multi-tenant isolation

Understand tenant relationships and shared infrastructure so one tenant's compromise does not become another's outage.

06

Orchestration & identity

Kubernetes, schedulers, service accounts, and privileged access — the control plane attackers target to reach AI workloads.

Autonomous telemetry radar

Every Domain. One AI Core. Continuous Awareness.

Facilities, compute, network, applications, security, and cloud telemetry all feed the CA AI Core — where signals are normalized (e.g. OCSF), correlated, analyzed for anomalies, evaluated for risk propagation and business impact, and used to drive governed response and recovery. Select a domain to inspect it.

AI intelligence layerAdapting
Telemetry rate46.4K ev/s
Events analyzed1.28M
Models updated412
Predictions generated9.1K
Actions executed214
Risk correlations3.9K
Graph updates18.2K
Anomaly confidence
  • Normal telemetry
  • Potential anomaly
  • High confidence
  • Critical
  • Resolved
CA AI Core
Autonomous AI & GPU Infrastructure Security
Health 99.2% Mode Approve AI confidence 0.98 Active anomalies 0 Recovery ops 0
Facilities→ Compute→ Applications→ Network→ Security→ Cloud
Illustrative simulation
Domain telemetry Normal

Facilities

Power distribution, UPS, generators, cooling, HVAC, environmental, fire suppression, leak detection, BMS, physical access.

Overall health
98.6%
Telemetry volume
7.6K ev/s
Active assets
1,840
Current anomalies
None
AI confidence
0.98
Risk score
12 / 100
Predicted impact
None
Autonomous actions
0
Business impact
None
Recovery status
Not required
Contextual intelligence

An Attack Is Never Just an Alert. It Is a Chain of Consequences.

Dependency-aware

CA AI Core

Telemetry from GPU clusters, orchestration, identity, network, and cloud converges in one intelligence core — correlated against infrastructure dependencies, so a single compromise is understood as the chain of consequences it can become.

Intelligent response

From Threat Detection to Coordinated Action.

Traditional workflows rely on alerts, investigation queues, and multiple response systems. CyberActive is designed to bring contextual decisions and coordinated enforcement into one governed workflow.

Approve

Prepare response recommendations for authorized human review before any action is taken.

Workflow in this mode
  1. 01Detect and correlate signalsPlatform
  2. 02Evaluate risk and propagationPlatform
  3. 03Select candidate actionsPlatform
  4. 04Authorize actionApprover
  5. 05Execute and recordPlatform

Autonomy must be controlled, explainable, and aligned with infrastructure availability.

Discuss governance requirements →
Who we protect

Engineered for Infrastructure Where Disruption Matters.

AI and GPU infrastructure is our primary commercial focus. The same architecture applies wherever security incidents, infrastructure failures, and operational disruption carry significant business, financial, or societal consequences.

Primary focus
Mission-critical environments

Critical Infrastructure

Governed security and recovery for high-consequence operational environments.

Energy & Utilities

Resilience where cyber and operational failures carry societal impact.

Financial Services

Impact-aware response where disruption carries direct financial consequence.

Healthcare

Continuity of the systems that clinical operations depend on.

Government & Public Sector

Policy-governed, auditable security for public-service infrastructure.

Enterprise & Hybrid Cloud

Contextual risk and coordinated response across interconnected enterprise systems.

Capability status

Precise about what exists today.

We distinguish established platform functionality, patented technology, and capabilities under development. Integrations and deployments are confirmed per engagement.

Platform today
Core platform architecture developed
Infrastructure context and dependency modeling
Policy-governed response workflows with human oversight
Patented technology
Approved patented technology underpinning the platform
Details available under NDA
In development
AI models undergoing further training and validation
Expanded recovery capabilities
Integrations validated per engagement
For investors

The Security Layer for the AI Infrastructure Economy.

Every AI factory, GPU cloud, and AI-enabled enterprise will need security that operates at machine speed. CyberActive AI is building the autonomous security and resilience intelligence layer for that infrastructure.

01

A new category

Autonomous security for AI infrastructure sits at the intersection of AI infrastructure, autonomous operations, and cyber resilience.

02

Patented technology

The platform is built on approved, patented technology, with additional applications filed and a continuing IP program.

03

Grows with AI compute

Platform value expands with every new GPU cluster, tenant environment, and facility it protects.

04

Enterprise software economics

Designed around multi-year platform subscriptions, environment expansion, and partner licensing.

05

Multiple routes to market

Direct enterprise, GPU cloud and data-center operators, OEM, MSSP, and government programs.

06

Experienced team

Decades across enterprise cybersecurity, artificial intelligence, and mission-critical software.

Investment priorities
Decision AI and the operational intelligence model
Autonomous recovery and platform expansion
Enterprise readiness: SOC 2, ISO certifications, FedRAMP roadmap
Enterprise sales, channel, and AI infrastructure partnerships
Continued expansion of the patent portfolio
Production deployments with AI infrastructure operators

Detailed materials, financial information, and technical diligence are available to qualified investors under NDA.

Contact Investor Relations

This section contains forward-looking statements about strategy and plans, which involve risks and uncertainties. It is not an offer to sell or a solicitation of an offer to buy any security.

Technology partnerships

Building Resilient AI Infrastructure and Critical Operations — Together.

CyberActive welcomes engagement with data center operators, GPU infrastructure and AI cloud providers, critical infrastructure and public-sector organizations, and technology partners seeking to advance autonomous security and operational resilience.

We invite qualified organizations to explore platform demonstrations, technical evaluations, pilot opportunities, and strategic integration discussions.

01

OEM & API

Embed autonomous decision intelligence into GPU, cloud, and infrastructure platforms.

02

MSSP platform

Deliver autonomous resilience as a managed service across your customer base.

03

AI infrastructure operators

Deploy across GPU clouds, AI data centers, and colocation environments.

04

Technology integrations

Connect identity, network, orchestration, and security controls for governed enforcement.

Partnership models under development; integrations are confirmed per engagement.

Your Infrastructure Is Becoming More Intelligent. Its Security Should Too.

Explore how CyberActive's autonomous resilience architecture can support the security and continuity requirements of your AI infrastructure and mission-critical operations.

Request a Demo
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