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Tag: malware

Amid COVID-19 Cybercrime Spike, ML Becomes Indispensable

Jun 4, 2020 |

Cybercriminals are exploiting the coronavirus pandemic to significantly expand their malicious activities against individuals and organizations. Amid the deluge of Trojans, ransomware, and phishing attacks, cybersecurity professionals are turning to machine learning to stay on top of the situation. Read more…

Microsoft and Intel Test Malware Protection Through Computer Vision

May 14, 2020 |

The world of malware protection has come a long way since the wild west of the early 2000s, when Trojans lurked behind every download. The malware threats that loom now are more advanced – and more evasive. Read more…

More Hadoop, YARN Threats Surface

Jan 24, 2019 |

New reports have emerged of expanding security threats targeting cloud-based Hadoop and YARN instances, including more sophisticated attacks described as “multi-vector/multi-platform threats.”

Securonix, a security analytics and operations management platform vendor, said this week it is monitoring persistent malicious attacks affecting exposed cloud and server infrastructure. Read more…

Latest Bot Targets Hadoop Clusters

Oct 29, 2018 |

Hadoop clusters are under siege by a recently discovered malware threat designed to take over cloud-based servers as a platform for launching distributed denial-of-service attacks.

The malware dubbed DemonBot was reported in a blog post last week by datacenter cybersecurity vendor Radware. Read more…

‘Dual-Use’ AI Poses New Security Threats

Feb 21, 2018 |

While the genie may already be out of the bottle, the rapid growth and broad availability of AI and machine learning technology along with a growing list of development tools is prompting critics to highlight future security concerns and the need to consider upfront the potential for malicious use of the technology. Read more…

A Deep Learning Approach for Detecting Unknown Malware

Jan 25, 2018 |

All of the major antivirus vendors at this point are moving towards machine learning approaches to keep up with the evolving threat landscape. That’s the good news. However, with upwards of 1 million new pieces of malware released into the wild per day, traditional machine learning approaches may be not be up to the task. Read more…

Machine Learning ‘Arms Race’ Ahead, McAfee Warns

Nov 30, 2017 |

Machine learning is becoming an essential tool for helping cyber defenders detect vulnerabilities, spot suspicious behavior and contain exploits. At the same time, hackers are using machine learning to spot vulnerabilities, launch attacks and disrupt models used by defenders. Read more…

Behavior Analytics Looks to Leapfrog SIEMs

Jan 31, 2017 |

So-called “credentials-based attacks” on corporate and government networks using, for example, stolen passwords or other authentication mechanisms, are among the fastest growing cyber threats. However, skeptics are questioning the ability of traditional security information and event management (SIEM) systems to detect the use of stolen passwords or insider attacks. Read more…

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