RationalEdge provides a malware intelligence platform that delivers deep, contextual insights rather than simple verdicts, helping threat analysts understand and trust their findings. The service offers access to millions of analyzed samples, including full source code and contextualized similarity metrics, with API support for rapid triage across multiple file formats and architectures. This enables security teams to pinpoint critical threats in seconds and trace malware evolution with greater precision.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams often rely on malware analysis tools that provide only binary verdicts, forcing analysts to spend extensive time reverse‑engineering samples to understand behavior, attribution, and evolution. This lack of contextual insight slows response and hampers accurate threat intelligence.
Solution
RationalEdge offers the REDS (RationalEdge DataSet) platform, a comprehensive malware intelligence service that supplies deep, contextualized analysis of millions of samples. Users can retrieve full decompiled source code, detailed characteristic metadata, and multi‑level similarity mappings that explain why samples are related. The platform supports rapid triage with AI‑assisted assessments, risk scoring, and extensive IOC extraction, all accessible via an API for seamless integration into existing workflows. By presenting the “why” behind each finding, REDS reduces manual reverse‑engineering effort and enables faster, more informed decision‑making for threat detection and mitigation.
Target Audience
Primary customers are malware analysts, threat intelligence teams, and security operations centers that need detailed, actionable insight into malicious samples, from junior analysts to senior reverse engineers.
Features
- Access to millions of analyzed samples with full decompiled source code and function‑level explanations powered by LLM assistance
- Contextualized similarity matching that reveals relationships between samples beyond simple scores
- Fast triage with AI‑generated analyses, maliciousness risk scores, and integrated YARA, MITRE ATT&CK, MBC, and CAPA tagging
- Comprehensive IOC analysis covering 22 types, including direct links to code locations and cross‑sample pivoting
- API for programmatic threat intelligence integration across PE, ELF, Mach‑O, APK, and JavaScript formats and multiple architectures (x86/64, ARM/AArch64, MIPS, PowerPC, RISC‑V)
- Multi‑level code similarity matching and structural analysis to aid attribution and evolution tracking