Cybersnap analyzes evidence close to the production and recovery source, where snapshot history and workload changes can reveal what happened before the incident became visible. The platform maps recovery risk across time, prioritizes recovery candidates, and supports an evidence-based decision before production resumes.
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-side snapshots, metadata, scan results, and available recovery context.
Identify ransomware indicators, suspicious file changes, and active detection findings.
Compare recovery points across time and workloads.
Use Deep & Forensic Intelligence when Quick Scan requires deeper historical investigation.
Prioritize recovery candidates and present an explainable Recovery Decision.
Quick Scan combines available recovery evidence with active detection logic to identify suspicious recovery points and prioritize further investigation.
Known indicators and suspicious file patterns relevant to recovery.
Changes across files and recovery points that warrant investigation.
Active scan rules and detection logic applied to recovery evidence.
Historical comparison across available recovery points.
Findings mapped to the affected workload and point in time.
Findings translated into which recovery candidates should be assessed first.
Cybersnap.io turns scan history into a visual map of recoverability, servers across time, every snapshot scored, every compromise traced.
Where supported, isolated validation workflows allow selected recovery candidates to be assessed before production is changed. Boot. Service. Application. Review.
Reports translate findings, scan results, and recovery context into a documented recovery assessment that security, infrastructure, and management teams can review together.
Cybersnap.io is built for recovery decisions. The output is not another detection. It is a documented recovery recommendation, in minutes, not days.
Available evidence supports prioritizing this point for further validation or recovery planning.
Specific findings require deeper assessment before the candidate is advanced.
Available evidence indicates a material risk of reintroducing the compromise.
Enterprise recovery environments are heterogeneous. Cybersnap is designed as a vendor-independent Recovery Assurance layer that extends across supported storage OEMs, recovery platforms, virtualization, and cloud environments through a connector-based architecture.
One Recovery Assurance model across heterogeneous recovery environments.
Supported environments connect through defined APIs and integration layers.
Cybersnap can operate as a standalone platform, an integrated partner capability, or an embedded Recovery Assurance layer.
Connector availability depends on the specific platform, version, and technical validation.
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.