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171–180 of 201 articles
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Dark Reading
Machine-learning algorithms alone may miss signs of a successful attack on your organization.
Dark Reading
Machine learning and automation can help free up security pros for higher-value tasks.
Bleeping Computer
Security researchers are warning that hackers can abuse online programming learning platforms to remotely launch cyberattacks, steal data, and scan for vulnerable devices, simply by using a web browser. [...]
Bleeping Computer
Attackers only have to be right once while defenders need to be right 100% of the time. To help combat this asymmetric disadvantage, InQuest provides an open research portal that combines crowdsourced efforts with machine learning to combat the likes of Bumblebee and other BEC related threats. [...]
The Hacker News
BPFDoor isn't new to the cyberattack game — in fact, it's gone undetected for years — but PwC researchers discovered the piece of malware in 2021. Subsequently, the cybersecurity community is learning more about the stealthy nature of malware, how it works, and how it can be prevented. What's BPFDoor? BPFDoor is a piece of malware associated with China-based threat actor Red Menshen that has hit
Dark Reading
FortiRecon combines machine learning, automation, and human intelligence to continually monitor an organization’s external attack surface.
Dark Reading
Contextual Intelligence derived with machine learning helps customers identify, assess and remediate threats from IoT devices on their networks, achieving full visibility and control.
Dark Reading
To succeed against dynamic cybercriminals, organizations must go multiple steps further and build a learning system that evolves over time to keep up with attacker tactics.
Dark Reading
A team of university researchers finds a machine learning-based approach to generating HTTP requests that slip past Web application firewalls.