Future Day Malware Analysis: Detecting tomorrow's malware today. Unknown Cyber’s DARPA Cyber Genome technology detects what others cannot. With our patented advances in automated intelligence, we have created security products that inspect deeper to find zero-day malware and supply chain threats with unmatched scale, speed, and accuracy.
UnknownCyber JUCY™ is the industry’s first genomic sandbox — a next-generation malware analysis engine that goes beyond behavioral observation and signature detection to deconstruct malicious code at the genetic level. Designed for security operations teams, reverse engineers, and threat intelligence professionals, JUCY™ provides deep, automated insight into zero-day threats, leveraging the world’s most advanced static binary genome analysis.
Where traditional sandboxes rely on how malware behaves in a simulated environment, JUCY™ inspects what malware is made of — breaking it down, identifying code DNA, and mapping lineage across known malware families and threat actor toolkits. The result: rapid, precise, and fully automated malware understanding, even when facing never-before-seen samples, fileless attacks, or advanced evasive payloads.
Genomic-Driven Malware Attribution
JUCY™ identifies malware variants by comparing their code against a massive database of known genetic code sequences. This makes it uniquely capable of linking zero-day samples to known APTs, ransomware strains, or commercial exploit kits — instantly providing context, attribution, and actionable intelligence.
Break-and-Inspect Technology
Instead of executing malware and hoping it reveals its behavior, JUCY™ unpacks and deconstructs binaries at a microscopic level — revealing embedded payloads, evasion mechanisms, and obfuscation techniques that traditional sandboxes can’t reach.
No Waiting. No Guesswork.
JUCY™ delivers full malware reports in minutes, not hours. With fully automated static analysis, your team can prioritize, respond, and remediate threats faster — and with far more confidence than behavioral-only solutions.
Deploy Anywhere
Available as a Cloud, On-Premise, or Portable field unit, JUCY™ brings elite-level malware genomics to any mission profile. Ideal for incident response, breach forensics, supply chain validation, or continuous threat hunting.
AI-Ready Output
Every analysis includes genomic profiles, malware lineage graphs, and AI-curated YARA rules, ready for integration into SIEMs, SOARs, TIPs, or machine learning models — accelerating your broader threat intelligence and detection pipeline.
JUCY™ is not just another sandbox. It’s a fundamentally different approach to malware analysis, purpose-built for today’s overwhelming volume of evasive, polymorphic, and AI-generated threats. While others watch what malware does, JUCY™ reveals what malware is — exposing the DNA of attackers in every binary.
Whether you're chasing a stealthy APT, responding to a ransomware incident, or screening critical files at scale, UnknownCyber JUCY™ equips your team with the clarity, speed, and depth needed to own the unknown.
U.S. Origin and Trust: UnknownCyber Malware Lab is an American-made solution, developed from U.S. Department of Defense research. Its core technology was born out of DARPA’s Cyber Genome Project, and the company is headquartered in the United States.
For organizations that value supply chain transparency and geopolitically secure partnerships, UnknownCyber’s U.S. origin is reassuring. All development and support are domestic, aligning with stringent government security standards and compliance requirements. In contrast, some competing solutions originate overseas or are now under foreign ownership (e.g., Intezer in Israel, VirusTotal acquired by Google but initially from Spain).
With UnknownCyber, you get homegrown innovation with the backing of U.S. cyber defense expertise – an important differentiator for defense and federal sectors. The lab’s U.S. roots also mean it was built with an emphasis on integrity and trust, ensuring that your sensitive malware data is handled under U.S. laws and robust privacy practices.