Next-generation malware analysis platform combining bare-metal execution, hardware telemetry, and AI-powered threat detection.
ThreatForge Sandbox addresses critical limitations in traditional malware analysis platforms. Modern threats operate in-memory, evade VM detection, and employ sophisticated obfuscation techniques that conventional sandboxes miss. Our platform combines bare-metal execution, hardware-level telemetry, and machine learning to reveal the complete behavior of advanced threats.
We serve security researchers who need deep behavioral visibility for threat intelligence, and SOC teams who require reliable automated classifications for rapid threat assessment. Through continuous research and innovation, we're advancing malware analysis beyond what traditional approaches can achieve.
Hardware telemetry and bare-metal execution reveal sophisticated threats that evade traditional sandbox environments through VM detection and timing checks.
Complete execution traces beyond basic MITRE mapping enable threat hunting, attack chain reconstruction, and comprehensive threat intelligence development.
Machine learning models provide reliable automated verdicts that reduce false positives and accelerate threat triage for security operations teams.
Advanced malware analysis platform with bare-metal execution, hardware telemetry, and ML classification. Detect sophisticated threats that evade traditional VM-based sandboxes through enhanced visibility and hermetic detection capabilities.
Intel Processor Trace integration captures all code execution at the CPU level. Generic detection of in-memory attacks without relying on signatures or behavioral heuristics that attackers can evade.
Complete execution traces including process genealogy, inter-process communication, persistence mechanisms, and attack chain reconstruction for comprehensive threat intelligence and research.
Our team analyzes emerging threats and publishes research on malware behavior, attack techniques, and defensive strategies through our blog and technical reports.