Next-Generation Cyberattack Detection with Large Language Models: Anomaly Analysis across Heterogeneous Logs

This project explores large language models LLMs for anomaly detection across heterogeneous log sources. Traditional intrusion detection systems suffer from high false positive rates, semantic blindness, and data scarcity, as logs are inherently sensitive, making clean datasets rare. We address...

CVE-2021-3714

A flaw was found in the Linux kernels memory deduplication mechanism. Previous work has shown that memory deduplication can be attacked via a local exploitation mechanism. The same technique can be used if an attacker can upload page sized files and detect the change in access time from a network...

Managed Defense: The Analytical Mindset

When it comes to cyber security managed services or otherwise, you’re ultimately reliant on analyst expertise to keep your environment safe. Products and intelligence are necessary pieces of the security puzzle to generate detection signal and whittle down the alert chaff, but in the end, an...