Catastrophic Forgetting – Part 1
Here at the Sophos AI team, our most common goal is to develop deep learning models that inspect a file […]
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How SophosAI Stops BEC gift card scams
Gift cards are a favorite way for scammers to squeeze money out of their victims. Unlike wire or bank transfers, […]
Sophos-ReversingLabs (SOREL) 20 Million sample malware dataset
The Sophos AI team is excited to announce the release of SOREL-20M (Sophos-ReversingLabs – 20 million) – a production-scale dataset […]
ML Expectation vs. Reality, Part 2: Doing the Actual Analysis
So, you’ve followed the advice in Part 1 of this series. Now you’ve got a nice big data set and you’re pretty sure that […]
ML Expectation vs. Reality, Part 1: Don’t build a house on sand!
Machine Learning has seen a huge boom in the past decade, with many industries now investing heavily in Machine Learning […]
How much malware is out there, anyway?
Introduction When we move machine learning models from the lab to the real world, tracking and evaluating model performance becomes […]
Debugging Deep Learning Models
Attention conservation notice: This is a slightly expanded version of a Twitter thread I posted back in January 2020. If […]
Lessons learned from building a 4,000+ member cybersecurity volunteer organization in four months
When I posted this tweet in March of this year, kicking off a process which would give birth to the […]
Detecting Malicious URLs and Stopping the Attack Early
Any good attack-chain usually involves tricking users at some point, whether it’s getting them to run a malicious file because […]
The File path Model: Using Context To Help Convict Malware
In the wild, we often see that malware in user systems persists well hidden in obfuscated or randomized file locations. […]