LMDG: Advancing Lateral Movement Detection through High-Fidelity Dataset Generation

Lateral Movement LM attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this...

Detecting and Visualizing Lateral Movement Attacks with Trellix XDR

Detecting and Visualizing Lateral Movement Attacks with Trellix Helix Connect By Maulik Maheta and Adithya Chandra · July 17, 2025 Executive summary This blog marks the third installment in our series on detecting and visualizing lateral movement attacks with Trellix Helix Connect. A lateral...

Designing a Reliable Lateral Movement Detector Using a Graph Foundation Model

Foundation models have recently emerged as a new paradigm in machine learning ML. These models are pre-trained on large and diverse datasets and can subsequently be applied to various downstream tasks with little or no retraining. This allows people without advanced ML expertise to build ML...

Detecting and Visualizing Lateral Movement Attacks with Trellix XDR

Detecting and Visualizing Lateral Movement Attacks with Trellix XDR By Chintan Shah, Maulik Maheta, Ajeeth S · December 13, 2023 Executive summary With Organizations deploying multiple security controls and solutions on their network and endpoints, there is a significant gap in the way threat...

3 Infosec Reflections to Kick off 2019 & Finally Shift the Balance of Power Back to Defenders

Wow. It's already 2019. Talk about a year in 2018 that flew by! I won’t spend this entire blog talking about 2018 but, needless to say, a lot happened in 2018 and it doesn’t look to slow down anytime soon. This time of year, I like to stop and reflect on the previous year and think about moving...