Nik Alleyne

SANS DC Metro Fall 2025: SANS@Night - Securing AI in an AI Focused World

AI is a major topic of discussion today — and rightfully so.

Using Machine Learning to Reduce the Alert Fatigue

In this session, we will discuss how you can leverage the SOAR, the SIEM (or any other security tool), Threat Intelligence and case management platforms, to build a machine learning model to aid with reducing the alert fatigue.

Cybersecurity Career Journeys: From the SANS Experts

Hear the stories from top SANS faculty of how they became the cybersecurity experts they are today and how their stories can be applied to your career journey. Learn how they build their skills to become one of the top practitioners within cybersecurity.

Scraping the Web for Threat Intelligence Data to Feed Your Machine Learning Algorithms

In the age of AI, obtaining data is crucial for successful data science and model building. Equally important is ensuring we, as security and machine learning engineers and data scientists, have meaningful data to solve our problems.

Using Machine Learning to Reduce the Alert Fatigue

Using Machine Learning to Reduce the Alert Fatigue presented by SANS Principal Instructor Nik Alleyne

Unmasking Threats in the Digital Shadows: Leveraging Machine Learning for Enhanced Detection in a Connected World

In today's connected world, where threat actors make every effort to blend in, easily detecting their malicious activities is becoming more difficult. In this webcast, SANS Certified Instructor Nik Alleyne, will help us to understand how we can use machine learning and deep learning algorithms, to potentially highlight these threats as they fly under our traditional monitoring radar.

デジタルの影に潜む脅威の正体を暴く：機械学習の活用による電脳世界での検知強化

近年脅威アクターは複雑な技術を悪用して攻撃の痕跡を隠すようになっているため、悪意ある兆候を検知することが難しくなっています。このWebcastではSANS認定インストラクターのNik Alleyneが機械学習とディープラーニングのアルゴリズムを活用することで、従来の監視・検出手法を潜り抜けていたこれらの脅威を潜在的に浮き彫りにする方法を共有します.