Joe Sandbox AI combines advanced GenAI and deep learning technology to tackle two critical security challenges: malicious phishing and executable detection.
The GenAI component is designed to analyze URLs, webpages, e-mails and documents (e.g. PDFs, DOCX, XLSX etc), delivering accurate verdicts on authenticity and intent. By leveraging deep contextual understanding, it identifies phishing attempts and malicious content more effectively than traditional, reference-based methods.
For executable detection, Joe Sandbox AI uses deep learning to analyze Windows API function call logs and, when available, static PE data. This process isn't limited to standard executables (.EXE or .DLL) but also extends to a variety of file types, such as MSI, JAR, and PowerShell scripts. By examining the behavior and structure of these files, Joe Sandbox AI detects novel threats that would initially slip through signature-based systems.
Through this dual approach, Joe Sandbox AI provides robust, adaptive protection, equipping organizations to identify complex, evolving threats with unprecedented accuracy.
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Joe Sandbox AI leverages cutting-edge Generative AI (GenAI) models to deliver advanced phishing detection.
Joe Sandbox AI moves beyond static, hard-to-maintain brand / URL reference lists and easily bypassed computer vision techniques. Instead, it harnesses the dynamic capabilities and knowledge of advanced GenAI models to detect phishing attempts.
Joe Sandbox AI employs cutting-edge deep learning techniques to scrutinize executable behaviors, analyzing Windows API calls and static PE data for precise threat detection.
Joe Sandbox AI provides advanced detection across a wide range of file types, not limited to PE files. From MSI and JAR to PowerShell and Batch scripts, Joe Sandbox AI identifies threats in diverse executable formats.
Joe Sandbox AI is tuned to detect as many malicious samples as possible. In addition, Joe Sandbox AI results have a low false positive rate.
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