Artificial intelligence (AI) and machine learning technologies are helping US security agencies, including the National Security Agency (NSA), detect malicious Chinese cyber activity that might evade traditional defensive measures, according to Rob Joyce, the director of the NSA Cybersecurity Directorate. Joyce said that machine learning, AI, and big data help surface these activities, as the models are better at detecting anomalous behavior. Recent Chinese hacking operations do not rely on traditional or known malware, but instead exploit architecture implementation flaws, misconfigurations, or default passwords to gain access to networks. Joyce and his colleagues have been warning that China is aggressively targeting US critical infrastructure in an attempt to cause societal disruption and panic.
AI helps spies nab sneaky Chinese hackers, claims NSA official
Latest from News
Are British SMBs ready to level up with Cyber Security Bill?
TLDR: The Cyber Security and Resilience Bill aims to tighten supply chain security in the UK. Experts are concerned about the impact of the
TfL cyber attack forces staff to work remotely
TLDR: TfL Cyber Attack Disrupts Services, Forcing Staff to Work From Home Key Points: A cyber attack targeting Transport for London (TfL) has disrupted
Mustang Panda: Worm-Powered USB Attack Plan
TLDR: Mustang Panda is back with new self-propagating malware spreading through USB drives and spear-phishing. They are targeting government entities in the Asia-Pacific region
Researcher hacks CI/CD pipelines for complete server control
TLDR: A security researcher exploited CI/CD pipelines to gain full server access by exploiting a security flaw in an exposed .git directory. The attacker
CISA alerts to three active exploits in the wild
TLDR: Key Points: CISA warns of three actively exploited vulnerabilities affecting ImageMagick, Linux Kernel, and SonicWall SonicOS Vulnerabilities could lead to remote code execution,