Nik Alleyne
Principal InstructorDirector of Business Development at Sirius Computer Solutions
Specialities
Cyber Defense
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Contact UsCyber Defense
Nik Alleyne is a SANS Certified Instructor with over 20 years in IT, with the last 10 years being more focused in cybersecurity. He is currently the Director of Business Development for a Managed Security Services Provider (MSSP), where he is responsible for leading multiple teams supporting various security technologies including IDS/IPS, Anti-Malware tools, proxies, firewalls, SIEM, Cloud, and WAF. Nik teaches both SEC503: Network Monitoring and Threat Detection In-Depth and SEC504: Hacker Tools, Techniques, Exploits, and Incident Handling for SANS and is a published author of two books Hack and Detect and Mastering TShark Network Forensics.
Nik has been a great instructor to have. He explained the course content clearly and was always ready to answer any questions. I would love to have Nik as my instructor for any other class that I take.
Nik was an excellent instructor. His explanations were clear, and he made complex topics easier to understand. He was supportive and provided helpful feedback, which made the course even more effective and enjoyable.
Nik has been a great instructor throughout the course! His explanations are clear, his demos are instructive, and the resources he provides make the live learning experience incredibly valuable.
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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.
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.
Using Machine Learning to Reduce the Alert Fatigue presented by SANS Principal Instructor Nik Alleyne
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.
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.
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.
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