Cybersnap.io sits close to the primary production environment, not only backup metadata. That gives teams stronger recovery truth and enables clean recovery decisions in minutes.
Cybersnap.io reads primary production evidence, inspects snapshot history, validates recovery candidates, and orchestrates AI AutoRescue — turning separate findings into one recovery decision.
Production snapshots, storage evidence, scan results, ransomware indicators, anomaly signals, validation outputs, recovery history.
Look back through snapshot history to find suspicious behavior, affected workloads, and clean recovery candidates.
Candidate restore points are inspected, isolated, and validated before they are trusted.
The AI Cyber Orchestrator coordinates specialized agents into one recovery decision.
A clear verdict: safe to resume, requires investigation, or unsafe to resume.
Cybersnap.io does not rely on a single indicator. It correlates multiple signals across files, snapshots, and time to produce a higher-confidence verdict on whether a restore point is safe.
Pattern-based detection with context-aware severity scoring.
Flags encryption behavior even when no signature exists.
Opens and reads actual files rather than relying on metadata alone.
Correlates risky file names and extensions with known threat indicators.
Detects suspicious wording and nation-state language patterns.
Maps abnormal file modification activity across time to expose attack progression.
Cybersnap.io turns scan history into a visual map of recoverability — servers across time, every snapshot scored, every compromise traced.
Cybersnap.io gives teams a controlled sandbox workflow to test recovery candidates before production is touched. Boot. Service. Application. Approve.
Reports translate scan and validation results into clear recovery assurance evidence. Auditable. Defensible. Board-ready.
Cybersnap.io is built for recovery decisions. The output is not another detection. It is a trusted, safe-to-resume restore point — clean operations in minutes, not days.
Multi-signal validation across time. Auditable rationale attached. Highest-confidence recovery point.
Cannot auto-clear. Cybersnap.io surfaces specific findings and recommends what to investigate first.
Restoring this point would likely reintroduce the attacker into production. Hold the line.
Cybersnap.io works from primary production evidence, where the strongest recovery truth lives, and expands the same AI Recovery Assurance model across storage platforms.
Cybersnap.io works from primary production evidence, not only backup metadata. Stronger recovery truth, clean recovery decisions in minutes.
NetApp is the first validated entry point. The same model expands across Pure, Dell, Nutanix, NAS, and other platforms through connectors.
Backup and DR remain important, but Cybersnap.io differentiates by turning primary production snapshots into safe recovery decisions in minutes.
From AI-guided recommendations toward policy-governed rescue: inspect history, identify clean candidates, isolate questionable points, validate, guide safe resume.
Autonomous recovery must be policy-governed, evidence-based, validated, and human-approved where required.
Storage provides snapshots. Backup provides copies. DR provides recovery paths. Cybersnap.io provides the safe resume decision.
Book a briefing and we will walk you through Cybersnap.io against your actual recovery posture — production snapshots, scan history, sandbox validation, and the verdict.