Retrospective Threat Discovery
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.
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 supervise. AI moves first.
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.
The output is not another alert. It is a verdict on restore-point safety — with confidence scoring, auditable rationale, and recommended actions.
Cleared for restore with full audit trail. The most recent point where multi-signal validation agrees.
Cannot auto-clear. Cybersnap.io 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.
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.
Book a strategic briefing. We will walk you through the multi-agent model, the decision output, and the path from production-side wedge to hybrid cloud assurance.