Verified Rate for Accurate Detection of Ransomware Corruption
The CyberSense 99.99% SLA, goes through rigorous testing against real-world scenarios with live ransomware. By leveraging continuous learning and AI to perform deep content inspection, CyberSense achieves unprecedented accuracy when detecting data corruption. Without this level of accuracy provided by CyberSense, organizations will remain vulnerable to ransomware attacks and will face elongated downtime and complex recovery processes that will negatively impact their organizations.
Maintain Confidence that alerts are real, and that false positives and negatives will be minimized
Support Continuous Accuracy with AI training done using real ransomware and studying how it changes data
Minimize Data Loss and cyber liability through detailed forensic reporting for faster, curated recovery
Prevent the Next Attack by feeding CyberSense's telemetry data to SIEM/SOAR systems
Read more in this validation from Enterprise Strategy Group (ESG)
Innovative AI Strategies Supporting Trusted Data Recovery`
The Challenge: Evolving Threat Landscape: Ransomware attacks are more sophisticated than ever, targeting critical data with stealth and precision. Traditional data protection strategies often fail to detect corruption, leaving businesses vulnerable to downtime, data loss, and significant financial impact.
Protect your data and your business—explore CyberSense today. Download the whitepaper to learn more.
The CyberSense Advantage: CyberSense offers proven AI-powered protection, ensuring unmatched accuracy and resilience:
Why Choose CyberSense? Trust that you will have best possible recovery in the wake of a cyberattack.
Shadow encryption was introduced in July 2021 when the ransomware gang Conti allegedly introduced LockFile. The LockFile ransomware variant used intermittent encryption to encrypt every 16 bytes of a file, leaving the rest unimpacted.This was specifically designed to evade detection by tools that look for obvious signs of encryption through unusual change in data compression rates.
Intermittent encryption changed the game as it was a challenge to detect. Data that was corrupted by LockFile did not generate the "signals" that most tools could detect and alert on. However, the bad actors didn't stop there. They continued to use technology to improve and advance their arsenals. Data encryption is a common approach to variants in their arsenals.With intermittent encryption being just the start, LockFile became one of the most prominent crime families in the ransomware game. Many took notice of this and continued to embrace shadow encryption and took it to the next level.
Around the same time that LockFile launched the Chaos ransomware variant was introduced. This variant took shadow encryption to the next level and utilized another form of shadow encryption based on Base64 algorithms. Base64 encoding helps conceal the true nature of ransomware corruption. By converting binary data into an ASCII string format, it makes the malicious code less recognizable to security tools and easily goes undetected. This approach deepened the bad actors shadow encryption strategies and generated great success in impacting organizations and forcing them to pay ransoms.
Making the right investment in cybersecurity is crucial to understanding the balance between smarter spending and smarter recovery.
You will learn:
This detailed overview of CyberSense underscores the importance of adopting advanced detection technologies to stay ahead of cybercriminals and maintain operational integrity.
Security tools are necessary but often inadequate in detecting the latest ransomware variants, emphasizing the need for innovative ransomware detection strategies. CyberSense inspects data integrity at the content level, providing forensic insights and supporting rapid recovery and detects even the most sophisticated of ransomware variants. CyberSense targets ransomware behavior with deadly accuracy and reduces false positives and ensures both data and database integrity. CyberSense leverages over 200 analytics and machine learning to identify subtle anomalies and patterns of corruption. CyberSense integrates with existing data protection and security workflows, enhancing threat detection and response.