AI models (e.g., malware detection) work perfectly, but feature extraction (e.g., n-gram, CFG) from binary code is too slow?
Unleash the power of GPU for disassembly, deliberately built for downstream machine learning based cybersecurity applications (e.g., malware detection and classification).
Low false positive/negative rate on identifying obfuscated code, and can automatically handle unseen obfuscation techniques with quick retraining.
Disassemble the code 100X faster than state-of-art disassemblers while producing the same or better accuracy.
Faster than state-of-the-art
False Positive/Negative Rate on instruction identification
Precision on Function Identification
Disassemble those large binary files that take other disassemblers hours to analyze within seconds.
Embedded with endpoint security solutions to identify the malware promptly.
Conduct sophisticated analysis of large volume code that cannot be finished timely before.
Dump and analyze the memory of Cloud VMs periodically to find any in-memory threats timely.