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Tag: cybersecurity

Security Partnership Combines ML with Net Flow Data

Jan 9, 2020 |

A framework known as network flow is emerging as a cyber-security tool based on the enterprise requirement for broader “network awareness” derived from network flow data.

A recent effort with roots in university research from the 1980s called the Open Argus Project is applying machine learning techniques to network flow data to spot threats in enterprise network traffic, including growing amounts of encrypted traffic. Read more…

How Academia Could Help Close the Technology Skills Gap

Oct 15, 2019 |

Academia is attractive for a lot of reasons, but it’s a field where it can be extremely challenging to forge a career. That helps to explain why over the last 10 years, ~60% of new physics PhDs end up taking jobs in areas of industry such as engineering, computer software and hardware, business, and non-STEM. Read more…

GDPR and the Transparency Revolution

Aug 1, 2019 |

It’s been over a year since GDPR went into effect, and in that time, the regulation has driven a great deal of meaningful conversations around consumer privacy and enterprise data management policies. Read more…

Filling Policy Void, U.S. AI Report Outlines Stakes

Oct 2, 2018 |

Who’s ahead in the race to win the global AI race is the subject of intense debate, much of it centered on China’s all-out effort to dominate AI development and whether the U.S. 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…

McAfee Folds Analytics Into Security Tools

Oct 18, 2017 |

The hackers are winning, and most cyber defenses are reactive despite ongoing efforts to achieve real-time threat detection capabilities. While artificial intelligence approaches are making inroads in the cat-and-mouse game of cyber-security, some security vendors are incorporating advanced analytics into security operations. Read more…

Hacker Hunting: Combatting Cybercrooks with Big Data

Jul 13, 2017 |

When it comes to cybersecurity, the big data explosion represents both a liability and an asset. On the one hand, big collections of data represent a treasure trove that hackers would love to get their dirty little mitts on. Read more…

Startup Takes AI Approach as Cyber Threats Mount

Jun 29, 2017 |

Little else has worked lately when it comes to cybersecurity, prompting a startup and its backers to give artificial intelligence a shot.

A group of industry veterans that includes a former FBI cyber-security expert emerged from stealth mode this week with a plan to leverage AI and machine learning technology to bolster enterprise security frameworks. Read more…

Masking Technical Complexity in the Security Data Lake

May 2, 2017 |

Today’s growing cybersecurity threat demands a sophisticated response, one that increasingly involves the utilization of big data technologies like parallel file systems and machine learning. However, some security experts warn that growing number and complexity of big data security tools could be hindering the cause. Read more…

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