DISA looks for ways of using artificial intelligence (AI) to detect malware

摘要

SCOTT AIR FORCE BASE, Ⅲ. - U.S. military trusted computing researchers are asking industry for news ways of applying artificial intelligence (AI) and machine learning to cyber security to detect malware and prevent it from infecting military computers and data networks. Officials of the Defense Information Systems Agency (DISA) at Scott Air Force Base, Ill., have issued a sources-sought notice (PL84110001) for the Signatureless Endpoint Protection (SEP) Prototype Pilot-Test program. DISA wants a SEP solution that detects and prevents malware by applying AI, algorithmic science, and machine learning for analyzing the potential existence of computer files and file executions for malware. The solution should rely on AI and machine learning to analyze malware at the DNA-level, require minimal updates, work on air-gapped networks, predict cyber malware threats, and prevent malware from exploiting system vulnerabilities.