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Incorporation of AI in federal government operations with CISA guidance. The federal government isn't planning to sit on the sidelines and merely set the rules for the rest of the players.
Easterly spoke the same day that agencies from 18 countries, including the United States, endorsed new British-developed guidelines on AI cyber security that focus on secure design, development ...
An example of a physical security measure: a metal lock on the back of a personal computer to prevent hardware tampering. Computer security (also cybersecurity, digital security, or information technology (IT) security) is the protection of computer software, systems and networks from threats that can lead to unauthorized information disclosure, theft or damage to hardware, software, or data ...
Applications of AI in cyber security include: Network protection: Machine learning improves intrusion detection systems by broadening the search beyond previously identified threats. Endpoint protection: Attacks such as ransomware can be thwarted by learning typical malware behaviors.
The National Security Commission on Artificial Intelligence (NSCAI) was an independent commission of the United States of America established in 2018 to make recommendations to the President and Congress to "advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States".
Vectra AI, formerly known as TraceVector, was founded in 2008 by a group of 4 cybersecurity professionals. Its mission was to offer security professionals an automated intrusion detection system that could address the escalating and sophisticated cyber-attacks which had increased dramatically in recent years.
CSIAC's Journal of Cyber Security & Information Systems is a quarterly technical journal written from a DoD perspective and contains the following: synopses and critiques of significant, newly acquired reports and/or journal articles; summaries of the initiation of new R&D programs; listing or calendar of future conferences, symposia, etc.; and ...
The companies committed to ensure AI products undergo both internal and external security testing before public release; to share information on the management of AI risks with the industry, governments, civil society, and academia; to prioritize cybersecurity and protect proprietary AI system components; to develop mechanisms to inform users ...