What Cybersnap AI does today
Six AI capabilities, one recovery decision.
Cybersnap AI is a single AI cyber agent that reads SnapMap data and gives recovery, security, and infrastructure teams a shared, evidence-based view of the recovery problem.
01 / AI SUMMARY REPORT
ContinuousExecutive view
AI Summary Report
An immediate executive view of recovery posture. Summarizes how many snapshots were analyzed, how many VMs were reviewed, whether risky files were detected, whether servers are at risk, and whether any snapshots are unsafe. Plain-language assessment of threat level, severity, and business impact, before an attack and during one.
Posture snapshot
snapshots analyzed
VMs reviewed
risky files
threat level
business impact
02 / AI VALIDATE THREATS
AnalyzingDecision support
AI Validate Threats
Reviews detected indicators and explains why the threat matters for recovery. Looks at the rule that triggered, the affected files, whether the pattern appears across snapshots, and whether the finding looks like a real recovery risk or needs further validation. Provides a confidence score and clear reasoning, so teams understand why a snapshot is questionable before trusting it.
Live ranking · candidates
03 / SHOW AFFECTED COMPONENTS
Workload viewWorkload-level recovery picture
Show Affected Components
Ransomware does not hit every server at the same second. It spreads over time. Traditional recovery forces the organization to roll back everything to one shared point. Cybersnap AI identifies which workloads were affected, when the first affected snapshot appeared, which snapshots are still clean candidates, and how the infection spreads, so each workload can return from its best clean point. Less data loss. Less downtime. More precise recovery.
Clean-room map · 32 blocks
04 / DETECT ANOMALIES
Active · temporal
Time-based analysis
Detects abnormal patterns across snapshot history and turns the timeline into a readable recovery narrative.
A single snapshot may not tell the full story. Cybersnap AI analyzes the full timeline and looks for sudden activity spikes, spread across multiple VMs, repeated suspicious patterns, and unusual changes inside recovery history. Teams get a clear narrative: when the first signal appeared, when the pattern expanded, which snapshots were affected, and where validation should be prioritized.
Snapshot history · 14 sources
05 / ANALYZE THREAT DETAILS
IoC reviewTechnical depth
Analyze Threat Details
For the technical team. Summarizes indicators of compromise: file extensions, suspicious file names, common patterns, YARA detections, and possible malware behavior. Does not leave the team with raw technical noise. It explains the meaning: what type of threat is suspected, which detection method triggered, what behavior was observed, and why this matters for recovery. Security, infrastructure, and recovery teams align around the same evidence.
Indicators of compromise
file extensions
YARA detections
suspicious filenames
behavior pattern
recovery impact
06 / SUGGEST NEXT ACTIONS
OperationalFrom analysis to action
Suggest Next Actions
From analysis to operational guidance. The AI recommends what should happen next: validate the threat in a sandbox, isolate affected recovery candidates, identify the earliest clean recovery point, and prepare recovery from a verified clean snapshot. In a ransomware event, teams do not need another dashboard. They need the next best action, prioritized and tied to the recovery evidence.