Platform overview

One Intelligent Security Lifecycle. Across Interconnected Infrastructure.

CyberActive AI is an intelligence and orchestration layer designed to complement your existing security and infrastructure technologies, connecting threat detection, infrastructure context, impact-aware decisions, governed response, and recovery.

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The market challenge

AI Infrastructure Is Scaling. Security Complexity Is Accelerating.

AI workloads depend on interconnected GPU compute, networking, storage, identity, orchestration, and cloud services. As that infrastructure grows, a single incident can reach far beyond the system where it started.

01

High-value AI assets

GPU infrastructure, models, training data, and inference services concentrate technology value and intellectual property.

02

Interconnected infrastructure

A compromise of one component can create cascading risk across compute, networking, identity, storage, and workloads.

03

Faster discovery, less time to respond

Automation, including AI-assisted tooling, can shorten the gap between discovering a weakness and exploiting it, which leaves less time for investigation and decisions.

04

Operational consequences

Every containment action affects something. Security decisions must weigh workload availability and service commitments.

The CyberActive AI advantage

Beyond Detection. Intelligence That Drives Governed Action.

01

Adaptive Threat Intelligence

Identify suspicious behavior and emerging threats across interconnected environments.

02

Infrastructure Risk Intelligence

Understand dependencies, potential propagation, and operational exposure.

03

Impact-Aware Decision Intelligence

Evaluate response options using risk context, business impact, and governance policies.

04

Governed Response & Recovery

Coordinate authorized containment and verified restoration across supported systems.

Platform lifecycle

Detect. Understand. Decide. Act. Restore.

CyberActive AI connects security intelligence, infrastructure context, impact-aware decision-making, and coordinated action within a continuous resilience architecture.

  1. Detect

    Identify suspicious activity and emerging threats across connected systems.

  2. Understand

    Correlate signals with infrastructure relationships and dependencies.

  3. Decide

    Evaluate propagation, operational impact, and response options.

  4. Act

    Coordinate governed containment through integrated controls.

  5. Restore

    Coordinate and verify recovery to a trusted state.

Platform capabilities

What the Platform Is Designed to Do.

Core

CyberActive AI Core

Unifies threat intelligence, infrastructure context, risk propagation, and operational impact in one model of your environment.

Explore the architecture →
Decide

Decision Intelligence

Ranks response options by risk, consequence, and policy, producing explainable recommendations rather than raw alerts.

How decisions are made →
Act

Governed Response

Coordinates containment through supported identity, network, orchestration, and security controls within approved boundaries.

Run the simulation →
Restore

Recovery Orchestration

Extends incident response into coordinated restoration and validation, feeding outcomes back into future decisions.

See recovery →
Arch

Model-Agnostic by Design

Combines signals from existing tools, infrastructure telemetry, and AI security intelligence without depending on one model provider.

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IP

Patented Technology

Built on approved patents in adaptive detection, risk propagation, and impact-aware decisions.

Patented innovation →

Governed autonomy

Autonomy Within Boundaries You Approve.

Operators decide how much authority the platform has, for which actions, on which infrastructure. Autonomous action is limited to action classes the customer has explicitly approved, and a human can override any step.

Approve

Prepare response actions for authorized human review. Nothing runs until a named approver accepts it.

Authority
Executes only after approval
Human role
Approve, modify, or reject each action
Typical use
Production and change-controlled infrastructure

Workflow in this mode

  1. 01Detect and correlate signalsPlatform
  2. 02Evaluate risk and propagationPlatform
  3. 03Select candidate actionsPlatform
  4. 04Authorize actionApprover
  5. 05Execute, record, and verifyPlatform

Defined authorization boundaries

Customers set which action classes, assets, and environments the platform may act on, and in which mode.

Policy enforcement

Every proposed action is checked against policy before it is offered or executed.

Human approval requirements

Approval rules define who approves which actions, including two-person rules for disruptive ones.

Action traceability

Each recommendation and action is recorded with its evidence, rationale, approver, and outcome.

Operational safeguards

Blast-radius limits, protected assets, and rate limits keep responses proportionate.

Human override

Authorized operators can pause, reverse, or override any action at any stage.

Recovery verification

Restoration is checked against a known-good state before systems return to service.

Customer-approved boundaries

The platform never receives unrestricted access to customer infrastructure. It acts only through integrations and permissions the customer grants, within boundaries the customer approves.

Your AI Infrastructure Is Too Valuable for Reactive Security.

See how CyberActive AI is designed to carry a threat from detection through infrastructure context, impact-aware decisions, governed response, and verified recovery, across AI workloads and GPU environments.

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