When ransomware hits, most organizations immediately ask: “Were we attacked?”
But during recovery, the more important question is:
That is the question CyberSense® by Index Engines is built to answer.
CyberSense is a purpose-built cyber resilience solution that helps organizations recover from ransomware quickly and confidently by validating the integrity of backup and snapshot data. It uses AI trained on real-world ransomware variants to detect data corruption with 99.99% accuracy, helping recovery teams identify the last known clean copy of data before restoring.
In simple terms, CyberSense helps organizations reduce downtime and avoid reinfection by confirming which recovery points are clean, trusted, and safe to use.
CyberSense analyzes backup and snapshot data to detect ransomware corruption. It identifies whether data has been encrypted, corrupted, or otherwise compromised by an attack.
Unlike a firewall, endpoint agent, or real-time prevention tool, CyberSense does not try to stop ransomware at the perimeter. Instead, it works inside backup and recovery environments to validate data integrity after data is written to protected storage.
Its role is to help organizations confidently identify which of their backups or snapshots are clean and safe to restore.
Today’s ransomware attacks are deliberate, patient, and designed to hide. Threat actors infiltrate environments weeks or months before triggering encryption, quietly corrupting backup data along the way. By the time the attack surfaces, many backups are already compromised, and organizations have no reliable way to know which ones are clean.
Traditional backup and recovery tools are not built for this problem. They rely on metadata analysis, file activity thresholds,or known threat signatures. These surface-level checks miss the sophisticated techniques modern ransomware uses: partial encryption, byte substitution, header corruption, and slow-acting dormant variants. The result is false confidence. Organizations attempt a restore, only to reintroduce corrupted or malware-laden data and extend their downtime.
CyberSense integrates with leading backup and storage platforms and analyzes data after it has been backed up or captured in a snapshot.
Instead of only looking at metadata, CyberSense inspects the actual contents of files and databases at the byte level. It analyzes more than 200 content-based statistics and compares backup points against previous versions to detect suspicious changes over time.
At the core of CyberSense is an AI model trained through a patented process in the CyberSense Research Lab. The lab detonates live ransomware variants in a controlled environment to observe how different types of ransomware corrupt enterprise data. CyberSense has been trained on more than 7,500 ransomware variants and more than 120 million real-world data samples.
When corruption is detected, CyberSense sends alerts, prompting teams to review forensic reports, investigate, and kickstart recovery using clean recovery points identified by CS.
CyberSense is different because it analyzes actual file and database content at the byte level, rather than relying only on metadata, thresholds, or other surface level indicators.
Many backup and storage vendors offer some form of ransomware detection. However, most of these tools look for surface-level anomalies, such as unusual file activity or metadata changes. That can help identify obvious attacks, but it may not detect more advanced ransomware techniques.
CyberSense goes deeper.
It reads the actual data and applies content-based analytics to find signs of corruption that may not be visible from metadata alone. This allows CyberSense to detect techniques such as partial encryption, byte substitution, and dormant ransomware hiding inside backup data.
The key difference is this:
Traditional detection methods tells you something may be wrong. CyberSense helps tell you which data is clean and safe to restore.
When CyberSense detects ransomware corruption, it provides recovery teams with the information they need to act quickly and confidently.
CyberSense can show:
This matters because recovery is not just about finding any backup or snapshot. It is about finding the right backup or snapshot.
Without trusted data integrity validation, teams may waste time restoring multiple copies, testing backups manually, or accidentally reintroducing corrupted data into the environment.
CyberSense helps eliminate that uncertainty.
CyberSense is designed for mid-to-large enterprises that need confidence in their ransomware recovery strategy.
It is commonly used by organizations in industries such as:
Organizations that are a strong fit for CyberSense often have enterprise backup or storage environments from Dell, IBM, Hitachi Vantara, or Lenovo Infinidat. They may have experienced a ransomware incident, had a near miss, face cyber insurance requirements, or need to prove recovery readiness for compliance.
No. CyberSense is not a ransomware prevention tool.
CyberSense does not replace endpoint detection, firewalls, SIEM tools, or other security controls. Instead, it complements the existing security stack by operating at the data layer inside the backup and recovery environment.
Prevention tools are important, but no prevention strategy is perfect. If ransomware gets through, organizations still need to know which data is clean and safe to restore.
CyberSense fills that recovery gap.
Data integrity matters because restoring corrupted data can extend downtime, cause reinfection, and delay business recovery.
A backup is only useful if it can be trusted. If ransomware has already corrupted backup data, restoring from that copy reinfection of the production environment.
That is why ransomware recovery requires more than backup availability. It requires backup integrity.
CyberSense validates the integrity of backup and snapshot data so organizations can make informed recovery decisions instead of guessing.
CyberSense can support compliance and cyber insurance conversations by helping organizations demonstrate recovery readiness and data integrity validation.
For regulated industries, it is not enough to simply have backups. Organizations may need to prove they can detect corruption, validate recovery points, and restore trusted data after an incident.
CyberSense supports alignment with cybersecurity frameworks such as NIST across Detect, Respond, and Recover functions. It also provides forensic reporting that can help teams document what happened, what was affected, and which recovery point was clean.
CyberSense helps organizations improve ransomware recovery by providing:
The biggest benefit is confidence.
When ransomware strikes, CyberSense helps organizations know which data they can trust.
Traditional ransomware detection focuses heavily on prevention, endpoint behavior, metadata, or known signatures. These tools are valuable, but they do not always provide enough detail for recovery.
CyberSense is focused on recovery intelligence.
It helps answer questions such as:
That level of detail is what separates detection from recovery confidence.
Ransomware recovery is no longer just an IT problem. It is a business continuity problem.
When recovery teams cannot quickly identify a clean restore point, downtime grows. Operations stall. Customers are affected. Revenue is impacted. Legal and compliance teams get involved.
Recovery intelligence gives organizations the information they need to move faster and reduce risk.
CyberSense provides that intelligence by analyzing backup data at the content level and identifying the cleanest point of recovery.
CyberSense is an AI-powered data integrity and ransomware recovery solution from Index Engines. It analyzes backup and snapshot data at the content and byte level to detect ransomware corruption, identify affected files and databases, and determine the last known clean recovery point.
It helps organizations recover from ransomware with greater speed, confidence, and accuracy by answering the most important recovery question:
Which data can we trust?
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