AUTHOR

Articles by Hyrum Anderson

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Machine learning for cybersecurity: only as effective as your implementation

This first post of two motivates the "why" and explores the "how" behind malware prevention via supervised machine learning in Elastic Endpoint Security.

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Transparency In Third-Party Testing

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Machine Learning Static Evasion Competition

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Extending EMBER

Today, we’d like to announce a new release of EMBER (Endgame Malware BEnchmark for Research), our open source benchmark dataset.

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Why we release our security research

Openness and transparency are adjectives to which our community should aspire. But, where’s the bright line that one shouldn’t cross?

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Using deep learning to detect DGAs

Presenting a powerful technique to detect domains created by domain generation algorithms (DGAs) that performs far better than “state-of-the-art” methods.

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Machine Learning: You Gotta Tame The Beast Before You Let It Out Of Its Cage

Machine learning is a fashionable buzzword right now in infosec, and is often referenced as the key to next-gen, signature-less security. But along with all of

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It's A Bake-Off!: Navigating The Evolving World Of Machine Learning Models