Remove category machine-learning
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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification madhav Tue, 12/12/2023 - 05:21 Given the pace of data growth and the complexity of hybrid IT environments, the discovery and classification of sensitive data is no simple task.

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Black Hat Fireside Chat: Easy come, easy go access strengthens ‘Identity Threat Detection & Response’

The Last Watchdog

With Black Hat USA 2023 ramping up in Las Vegas next week, cybersecurity startup Trustle is championing a new product category—Identity Threat Detection & Response ( ITDR )—which aims to enhance the capabilities of legacy IAM solutions. The big thing is managing entitlements across multiple SaaS applications,” Berenbaum told me.

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Tackling Cyber Threats: Is AI Cybersecurity Our Only Hope?

Jane Frankland

In fact, according to G2, there’s been a growth rate of 39% – double the next closest software category. With machine learning algorithms, it can now continuously learn and adapt to new threats, making it a powerful tool in cybersecurity. Then, head over to Palo Alto Networks to learn more about Precision AI.

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NIST Report Highlights Rising Tide of Threats Facing AI Systems

SecureWorld News

But the advanced machine learning (ML) models powering this AI revolution also introduce new vectors of attack for malicious actors. The core conclusion is striking: virtually every component of the machine learning pipeline is vulnerable. As adoption accelerates, so too do emerging cybersecurity risks.

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Computing Security Awards 2021: Heimdal™ Wins AI and Machine Learning-Based Security of the Year

Heimadal Security

We are very proud to let you know that we secured first place in the AI and Machine Learning-Based Security Solution of the Year category with our amazing Threat Prevention Solution. […]. The voting is now closed and the winners are communicated.

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AIs as Computer Hackers

Schneier on Security

It came in last overall, but it didn’t come in last in every category all of the time. Going through software code line by line is exactly the sort of tedious problem at which machine learning systems excel, if they can only be taught how to recognize a vulnerability. Mayhem was invited to participate. Some things we can infer.

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Video: GCS 2017 panel: The future of AI and cybersecurity for business

Tech Republic Security

Are artificial intelligence and machine learning just fancy risk vectors or will they drastically reduce risk across all categories? How are we programming machines to program the next line of defense? Is the singularity near?