Cybersnap.io sits close to the primary production environment, not backup metadata alone. That gives teams stronger recovery truth and delivers evidence-based recovery decisions in minutes.
Cybersnap is one platform delivered in three layers. Each layer builds on the last and feeds the same evidence-based Recovery Decision.
Foundation of Production-side Recovery Assurance: Quick Scan, production-side evidence, snapshot history, workload mapping, compromise indicators, recovery candidate prioritization, and AI-assisted summary where supported.
When Quick Scan is not enough: Deep Scan, deeper investigation, snapshot comparison, attack timeline, historical analysis, Slow-Moving Attack patterns, and the likely progression of compromise.
Detection intelligence that evolves continuously: dynamic detection content, filters, scan logic, statistical models, indicators, YARA-X, customer context, and Review / Approve / Defer where supported.
Cybersnap.io reads primary production evidence, inspects snapshot history, validates recovery candidates, and correlates findings into one 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 higher-confidence recovery candidates.
Candidate restore points are inspected, isolated, and validated before they are trusted.
Cybersnap AI coordinates the evidence and produces one recovery decision.
A clear verdict: safe to resume, requires investigation, or unsafe to resume.
Cybersnap.io correlates multiple signals across files, snapshots, and time to produce high-confidence verdicts on restore-point safety.
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 ransom-note language and malware-related text 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 is not locked to one storage vendor. It operates over the source environment, where the strongest recovery evidence lives, and connects through fast connectors rather than waiting on OEM roadmaps. Wherever the evidence, the recovery points, and the environment structure are readable, the decision layer can read, validate, and decide what is safe to bring back.
No dependency on one storage vendor and no waiting on an OEM agreement. Connections are built through APIs and connectors, not multi-month integration projects.
Designed to extend across production environments — storage, snapshots, and cloud — through defined connectors. New environments can be supported through the connector architecture, subject to technical validation.
The engine follows the customer's actual environment and recovery needs, instead of chasing whichever storage vendor happens to integrate first.
Cybersnap.io works from primary production evidence, where the strongest recovery truth lives, and expands the same Production-side Recovery Assurance model across storage and cloud environments through connectors.
Cybersnap.io works from primary production evidence, not only backup metadata. Stronger recovery truth, evidence-based recovery decisions in minutes.
Cybersnap is already expanding across additional storage, virtualization, and cloud environments through its connector architecture, without vendor lock-in.
Backup and DR remain important, but Cybersnap.io differentiates by turning primary production snapshots into evidence-based recovery decisions in minutes.
From AI recovery decision support toward policy-governed rescue: inspect history, prioritize recovery candidates, isolate questionable points, validate, guide production 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 Recovery Decision.
Book a demo and we will walk you through Cybersnap.io against your actual recovery posture, production snapshots, scan history, sandbox validation, and the verdict.