What is CyberSense by Index Engines™ and how does it protect against ransomware?

CyberSense is an AI-powered cyber resiliency solution that detects corruption due to ransomware with proven 99.99% accuracy. It delivers deep insights to validate the integrity of the files within backups and snapshots and enables confidence for a fast, reliable recovery to minimize the impact of a ransomware attack.

How does CyberSense detect ransomware that traditional tools miss?

CyberSense is the only solution trained on live detonated ransomware and built to inspect changes at the byte level, enabling it to analyze 200+ content-based statistics to accurately detect ransomware-induced corruption that traditional tools miss. CyberSense catches partial encryption, header corruption, and slow-acting ransomware variants missed by tools that only inspect a file’s meta data.

What makes CyberSense different from other ransomware detection and recovery solutions?

CyberSense is purpose-built to validate data integrity, giving organizations clear insight into whether their data is clean or corrupted. This approach is critical during recovery, enabling accurate identification of their last known good backup. It leverages AI/ML trained on over 7,500 ransomware variants and 120 million real-world samples to reduce false positives and provide forensic-level insights for recovery in the wake of a ransomware attack.

Can CyberSense integrate with existing backup, SIEM, and SOAR systems?

Yes, CyberSense integrates seamlessly via syslog (CEF format), enhancing incident response through detailed policy and alert information within existing cybersecurity workflows.

How accurate is CyberSense at detecting ransomware and minimizing false alerts?

Driven by highly trained AI-based analysis and full-content inspection of data, CyberSense features a 99.99% service level agreement (SLA) to accurately detect sophisticated corruption caused by the latest, most sophisticated ransomware variants. CyberSense’s 99.99% SLA for detecting ransomware corruption is validated during in-house testing by the CyberSense Research Lab. This standard is maintained prior to each release.

What kinds of ransomware attacks can CyberSense detect?

CyberSense detects advanced ransomware variants, including polymorphic, slow-acting, and partial-based encryption attacks. It also identifies attacks that evade detection by maintaining file names, structures, and entropy levels. Detection is powered by AI/ML trained on byte-level file behavior from detonated ransomware in our Cyber Sense Research Lab, enabling deep analysis of subtle corruption patterns. Additionally, CyberSense supports custom malware signatures and YARA rules for organizations that need to search for known executables or specific attack indicators.

Trust | Index Engines

125,000

Data Samples Collected for Testing

94,100

Samples Infected with Ransomware

94,097

Successfully Detected with 3 False Negatives

99.99%

Verified Rate for Accurate Detection

Explore Our Lab

Frequently Asked Questions

What is CyberSense by Index Engines™ and how does it protect against ransomware?: CyberSense is an AI-powered cyber resiliency solution that detects corruption due to ransomware with proven 99.99% accuracy. It delivers deep insights to validate the integrity of the files within backups and snapshots and enables confidence for a fast, reliable recovery to minimize the impact of a ransomware attack.

How does CyberSense detect ransomware that traditional tools miss?: CyberSense is the only solution trained on live detonated ransomware and built to inspect changes at the byte level, enabling it to analyze 200+ content-based statistics to accurately detect ransomware-induced corruption that traditional tools miss. CyberSense catches partial encryption, header corruption, and slow-acting ransomware variants missed by tools that only inspect a file’s meta data.

What makes CyberSense different from other ransomware detection and recovery solutions?: CyberSense is purpose-built to validate data integrity, giving organizations clear insight into whether their data is clean or corrupted. This approach is critical during recovery, enabling accurate identification of their last known good backup. It leverages AI/ML trained on over 7,500 ransomware variants and 120 million real-world samples to reduce false positives and provide forensic-level insights for recovery in the wake of a ransomware attack.

Can CyberSense integrate with existing backup, SIEM, and SOAR systems?: Yes, CyberSense integrates seamlessly via syslog (CEF format), enhancing incident response through detailed policy and alert information within existing cybersecurity workflows.

How accurate is CyberSense at detecting ransomware and minimizing false alerts?: Driven by highly trained AI-based analysis and full-content inspection of data, CyberSense features a 99.99% service level agreement (SLA) to accurately detect sophisticated corruption caused by the latest, most sophisticated ransomware variants. CyberSense’s 99.99% SLA for detecting ransomware corruption is validated during in-house testing by the CyberSense Research Lab. This standard is maintained prior to each release.

What kinds of ransomware attacks can CyberSense detect?: CyberSense detects advanced ransomware variants, including polymorphic, slow-acting, and partial-based encryption attacks. It also identifies attacks that evade detection by maintaining file names, structures, and entropy levels. Detection is powered by AI/ML trained on byte-level file behavior from detonated ransomware in our Cyber Sense Research Lab, enabling deep analysis of subtle corruption patterns. Additionally, CyberSense supports custom malware signatures and YARA rules for organizations that need to search for known executables or specific attack indicators.

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Leading Enterprises Trust CyberSense to Recover Confidently, Protect Business Continuity, and Avoid Paying Ransoms