Overview

Scalable File Analysis, part of the ReversingLabs Spectra Suite, delivers high-performance, automated analysis of massive volumes of files—spanning emails, archives, endpoints, cloud storage, web traffic, and collaboration platforms—without requiring file execution. By employing proprietary AI-driven static binary deconstruction and authoritative reputation intelligence, the solution identifies embedded malware, zero-day threats, and policy violations with unparalleled accuracy. It enables organizations to analyze millions of files daily, scaling dynamically to meet evolving threat landscapes. The platform integrates seamlessly with SOC workflows, enriching existing security tools through APIs and connectors, ensuring security teams gain faster, broader visibility across their digital ecosystems while reducing reliance on slower dynamic or sandbox analysis.

Features and Capabilities

• AI-driven complex binary analysis: Recursively unpacks complex file formats, extracts deep metadata and threat indicators, and deconstructs binaries in milliseconds without execution.
• Massive throughput & scalability: Handles millions of files and thousands of file types (4,800+ formats), including over 400 compressed and archive types, with no impact on system performance.
• Deep static inspection: Inspects internal file structures, applying custom YARA rules and advanced heuristics to detect sophisticated threats embedded within file layers.
• Rich threat intelligence: Correlates analysis results against a massive repository of billions of malware and goodware samples to deliver accurate, actionable threat verdicts.
• Seamless integration: Provides robust APIs and pre-built connectors to integrate with existing SOC tools, email security systems, endpoint protection platforms, and cloud environments.
• Comprehensive file environment coverage: Supports analysis across multiple environments, including web traffic, email, network file shares, and cloud-based collaboration platforms.
• Real-time threat verdicts: Enables immediate insight with static analysis, delivering faster and wider detection capabilities compared to dynamic analysis or sandboxing methods.