The control and decision center for cyber recovery.
When a cyberattack reaches recovery, the question is no longer whether a backup exists. It is which copy is safe to return to production without bringing the attacker back. Cybersnap.io reads the snapshots you already have, exposes the attack timeline, and recommends a recovery point per server, on evidence.
You have backups. You have DR. Recovery after ransomware still takes a week or more, not because the copy is missing, but because nobody knows which copy is clean. Cybersnap.io answers that question from the snapshots you already have, before anything returns to production.
The attacker was inside days before the encryption. Every backup taken since contains them.
One point in time for the whole site. Too early deletes work. Too late brings the attacker back.
Systems come up, the attacker wakes up, the encryption starts again. Time, data, and trust are gone.
Cybersnap.io connects to the snapshots that already exist in your environment. No agent in production. The scan happens before the restore, not after.
Suspicious signs at scale, across all snapshots: mass file changes, ransomware extensions and ransom notes, entropy, executables disguised as data. Result: where to look.
Inside the content of files: YARA-X detection rules, indicators of compromise, fingerprints. Catches malware after it was renamed, and before the visible encryption.
Evidence from the operating system: persistence, services, scheduled tasks, event logs. Shows when the signs first appeared and how the attacker planned to come back.
When ransomware hits, teams inspect evidence, compare candidates, argue about which point looks safe, and decide how to resume. From backup or DR alone, that takes days.
That loop runs on individuals, in war rooms, against the clock.
Six concrete business outcomes when Cybersnap AI runs inside your recovery posture.
A recommended recovery point per server, from the snapshots you already have.
Flag compromised recovery candidates before they return to production.
Inspect and isolate recovery candidates before they are trusted.
Find the safest usable point per workload, not one broad panic rollback.
Give leadership an evidence-based recovery decision during the highest-pressure moment.
Looks safer to restore. Requires investigation. Unsafe to restore.
There are doctors. There are instruments. There is experience. What is missing is the MRI, the image that shows where it is safe to cut.
Recovery teams have backups, security tools, snapshots, and incident plans. In the moment of attack, they still lack the one thing that decides the outcome: a clear, evidence-based picture of which recovery point presents the strongest evidence for return to production.
Cybersnap.io is the MRI of the recovery moment.
When everything fails, there should be one place the world trusts to answer:
What should return to production?
Cybersnap.io is building that layer.
Cybersnap AI turns scan results, recovery history, and findings into an explainable recovery picture for security, infrastructure, and recovery teams. The AI proposes. The cyber engine verifies and produces evidence. Your team decides.
Summarizes recovery findings, affected workloads, risk, and recommended investigation priorities.
Explains why detected indicators matter to recovery and what should be investigated next.
Maps findings across workloads and recovery history.
Highlights unusual patterns and changes across the available recovery timeline.
Turns indicators, rules, and scan findings into recovery-oriented context.
Prioritizes what to investigate, validate, or assess next.
Cybersnap AI correlates production snapshots, recovery candidates, ransomware indicators, anomaly signals, and validation outputs to return one verdict per candidate. Illustrative product example
Cybersnap.io helps MSPs deliver Recovery Assurance as a recurring service: recovery posture, evidence-based candidate prioritization, and recovery decision support across customer environments.
Most MSPs sell backup, DR, and security tools. Cybersnap.io lets them sell recovery decision confidence, a recurring recovery assurance service customers cannot get anywhere else.
MSPs define scan and validation policies per customer environment, frequency, retention, severity, file-level inspection scope. Cybersnap.io applies configured scan policies across supported customer environments.
Policy-driven · YARA-correlated · multi-tenant · audit-ready
Cybersnap.io activates at the moment ransomware recovery becomes a business decision. Six scenarios where evidence-backed verdicts replace human guesswork under pressure.
Prioritize recovery candidates from primary production evidence. Resume operations in hours, not days.
Look back through snapshot history to find when compromise began and which recovery points present the strongest evidence for restoration.
Candidate restore points are inspected, isolated, and validated before they are trusted.
Rank recovery candidates and produce one clear decision: looks safer to restore, requires investigation, or unsafe.
Show customers recovery posture, higher-confidence recovery candidates, and ransomware readiness as a service.
Extend the same Recovery Assurance model across additional storage and recovery environments through connectors.
Cybersnap.io was shaped by recovery demands from high-pressure Israeli government environments, where ransomware recovery cannot depend on delay, guesswork, or unsafe restore points.
Cybersnap is built AI-first. Our founders and classified cyber team set the direction. Agent-powered development turns that expertise into technology.
Cybersnap is one platform delivered in three layers, each feeding the same evidence-based Recovery Decision.
Foundation of Production-side Recovery Assurance: Quick Scan, production-side evidence, snapshot history, compromise indicators, and recovery candidate prioritization.
When Quick Scan is not enough: Deep Scan, snapshot comparison, attack timeline, historical analysis, and Slow-Moving Attack patterns.
Detection intelligence that evolves continuously, so your environment sees what is new, why it is relevant, and what to approve: dynamic detection content, YARA-X, customer context, and Review / Approve / Defer.
TODAY — AI-ASSISTED RECOVERY INTELLIGENCE · Cybersnap AI explains findings, prioritizes investigation, and supports the Recovery Decision. ROADMAP — AGENTIC RECOVERY ASSURANCE · specialized, policy-governed agents coordinating detection, containment, validation, recovery decisioning, and readiness.
Storage provides snapshots. Backup provides copies. DR provides recovery paths. Cybersnap.io provides the Recovery Decision. That makes every partner's ransomware recovery story stronger.
A 10-question evaluation. Get a grade, a per-area breakdown, and personalized recommendations. The result is yours; no answers leave your browser unless you ask for the briefing.
See how Cybersnap AI turns primary production evidence into evidence-based recovery decisions in hours, not days.