Today, Cybersnap AI gives recovery teams a single, evidence-based decision layer over primary production snapshots. Next is multi-agent orchestration that closes the loop from detection to safe production resume, with policy-governed actions and human approval where required.
A single AI cyber agent over SnapMap data. Summarizes risk, validates threats, maps affected components, detects anomalies, explains indicators, and suggests next actions. Built. Deployed. Operating in real customer environments.
Multi-agent orchestration. Specialized agents for retrospective discovery, isolation guidance, ultra-fast validation, recovery decisioning, and recovery readiness, coordinated by an AI Cyber Orchestrator into one safe-resume verdict. Policy-governed. Auditable. Human-approved where required.
At the center is the AI Cyber Orchestrator. It coordinates specialized cyber AI agents across production evidence, snapshot history, ransomware indicators, sandbox validation, and recovery confidence scoring, turning their findings into one decision: what can safely resume now.
Storage teams, backup teams, and security teams often believe they are aligned, but when the recovery moment comes, nobody wants to be the person guessing which copy is safe. Recovery breaks down at the worst possible time.
Cybersnap.io reads scan history, sandbox results, anomaly patterns, and recovery telemetry, then produces a confidence-scored verdict in minutes. Humans approve. AI accelerates the recovery path.
Each agent performs a focused task. The AI Cyber Orchestrator turns their findings into one decision: what can safely resume now.
Looks back through production snapshot history after an attack is detected. Identifies when suspicious behavior began, which workloads show signs of compromise, and which recovery points remain clean candidates.
Guides what should not be brought back, what requires investigation, and which recovery candidates should be isolated before production resumes. Focused on safe recovery in the primary production environment.
Validates candidate recovery points in an isolated environment, runs usability and integrity checks, and confirms clean recovery candidates. Working close to production snapshots, recovery decisions move in minutes.
Coordinates the evidence, ranks clean recovery candidates, produces confidence signals, and determines what is safe to resume. This is the core decision layer.
Proves recovery readiness, validates clean restore candidates, and prepares the organization for a safe recovery event.
AI AutoRescue is the long-term direction: inspect snapshot history, identify clean candidates, isolate questionable recovery points, validate workloads, and guide safe production resume. Policy-governed. Evidence-based. Human-approved where required.
Cleared for restore with full audit trail. The most recent point where multi-signal validation agrees.
Cannot auto-clear. Surfaces the specific findings driving uncertainty and recommends investigation order.
Restoring this point would likely reintroduce the attacker. Move backward in time to find the next clean candidate.
Autonomous recovery must be policy-governed, evidence-based, validated, and human-approved where required. The product, the company, and the roadmap converge on safe production resume in minutes.
A single AI cyber agent analyzes production evidence, timelines, scan results, recovery candidates, anomaly priorities, user activity, and validation outputs.
Specialized agents coordinated by an AI Cyber Orchestrator. Investigation, validation, and recovery decisioning compressed into a single policy-governed workflow built for ransomware pressure.
From guided recovery decisions toward AI AutoRescue: retrospective attack discovery, recovery exposure simulation, clean-room validation, policy-governed rescue actions, and safe production resume in minutes.
Ransomware already operates at machine speed. Recovery still depends on humans debating restore points under pressure. The next control layer is the AI Cyber Orchestrator, coordinating specialized agents across production evidence and deciding what can safely resume, before downtime becomes business damage.
Cybersnap.io is building that layer, one validated capability at a time.
Book a strategic briefing. We will walk you through what Cybersnap AI does today, the multi-agent direction, and the path to policy-governed AI AutoRescue.