

Data protection and cyber recovery solutions company Index Engines Inc. today announced a newly granted patent for its artificial intelligence-powered process that automates the collection, detection and behavioral analysis of ransomware.
The patented process, developed in the company’s CyberSense Research Lab, enables automated ingestion and detonation of real ransomware samples in a secure environment. The methodology allows for the continuous training of Index Engines’ machine learning models on live threat data, rather than simulations. The result, according to the company, is faster detection of data corruption, improved recovery decisions and enhanced data integrity for enterprise customers.
“Cyber resilience requires more than reactive tools; it demands AI that’s been rigorously trained, tested and proven in real-world conditions,” explains Geoff Barrall, chief product officer at Index Engines. “Our patented automated facility downloads, detonates and monitors real ransomware to continuously train and refine our models, something no simulation can replicate.”
Index Engines says that the patent validates its unique approach and innovation in applying AI to one of the most critical challenges in cybersecurity: confident, rapid recovery to minimize the impact of ransomware.
The approach has been proven to be 99.99% effective in detecting ransomware-related data corruption, as validated by Enterprise Strategy Group LLC. Analyst firm Futuriom Inc. has also positively reviewed the CyberSense Lab.
Index Engines argues that its proactive, adversary-focused approach sets it apart from others in the market. “To truly defend against ransomware, you have to think like the adversary,” said Chief Marketing Officer Jim McGann. “It’s like preparing for the Super Bowl: we watch the tape, analyze every move and train accordingly. Others are still hoping their old playbooks hold up.”
The announcement comes as ransomware attacks grow more frequent and complex. The average U.S. data breach now costs nearly $10 million, according to Index Engines and can cause a public company’s share price to drop 3% to 5%. Recovery often takes six months or more, with additional costs tied to legal fees and reputational damage.
George Biry, strategic channels and alliances manager at Index Engines, spoke with theCUBE, SiliconANGLE Media’s livestreaming studio, recently, when he discussed how the company has adapted in response to the increasing number of AI cyberattacks:
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