Adarsh Kyadige

Research Manager

Adarsh oversees the Research wing of the Sophos AI team, where he has been working since 2018 at the intersection of Machine Learning and Security. He earned a Masters degree in Computer Science, with a specialization in Artificial Intelligence and Machine Learning, from UC San Diego. His interests and responsibilities involve applying Deep Learning to Cybersecurity, as well as orchestrating pipelines for large scale data processing. In his leisure time, Adarsh can be found at the archery range, tennis courts, or in nature. His latest research can be found on Google Scholar.

@adarshkyadige

LOLBins (living off the land binaries) are executable files that are already present in the user environment, LOLBins (living off […]

Machine Learning has seen a huge boom in the past decade, with many industries now investing heavily in Machine Learning […]

In the wild, we often see that malware in user systems persists well hidden in obfuscated or randomized file locations. […]

Comparative Sophos X-Ops testing not only indicates which models fare best in cybersecurity, but where cybersecurity fares best in AI.

The conference on machine learning in cybersecurity is key to open exchange of research and knowledge.

Adarsh Kyadige

Blog Posts

“LOL you’re not executing that”: Detecting Malicious LOLBin Commands

ML Expectation vs. Reality, Part 1: Don’t build a house on sand!

The File path Model: Using Context To Help Convict Malware

Presentations

LLMs in Cybersecurity Track

CAMLIS 2023 – Playing Defense: Benchmarking Cybersecurity Capabilities of Large Language Models

BSides LV 2022: Weeding Out Living-off-the-land Attacks at Scale

Publications

Political Manipulation with Massive AI Model-driven Misinformation and Microtargeting

Benchmarking the Security Capabilities of Large Language Models

Sophos AI team to present at CAMLIS