Articles By Hyrum Anderson

Engineering

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.

Engineering

Transparency In Third-Party Testing

Before making a major purchase, chances are you shop around, compare products with a critical eye, and rely heavily on the experiences and opinions of people

Engineering

Machine Learning Static Evasion Competition

As announced at DEFCON’s AIVillage, Endgame is co-sponsoring (with MRG-Effitas and VM-Ray) the Machine Learning Static Evasion Competition.

News

Extending EMBER

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

News

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?

Engineering

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.

Engineering

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..

Engineering

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