Moazzam Khan

Watson for Cybersecurity Researcher

Moazzam khan has been a security researcher with Watson for Cyber Security group. His research interests involve big data analytics, security intelligence, machine learning. He has authored several collections on recent threats on IBM's threat intelligence platform XFE. Prior to joining Watson for cyber security group Moazzam had worked with L3 engineering team with GX and XGS suite of intrusion prevention systems, Proventia M series and Enterprise Scanner. Moazzam holds a doctorate from Georgia Institute of Technologies in Electrical and Computer Engineering and teaches network communication, security and data science courses as adjunct faculty.

Fraud Protection March 9, 2020

From Nigerian Princes to Bitcoin Trading: Online Scams Have Come a Long Way

5 min read - Online scams originating from Nigeria have come a long way, and while some stick with the old rich prince ploy, others have devised more elaborate schemes to secure money.

Intelligence & Analytics February 8, 2019

Now That You Have a Machine Learning Model, It’s Time to Evaluate Your Security Classifier

11 min read - Now that you've identified an AI solution and selected a suitable algorithm for your machine learning model, you're ready to measure the effectiveness of your security classifier.

Artificial Intelligence December 6, 2018

Machine Learning Algorithms Are Not One-Size-Fits-All

7 min read - Before you can choose the right machine learning algorithms to serve your business' needs, you must understand the type of problem you're trying to solve and the type of training data you'll need.

Artificial Intelligence November 16, 2018

How to Choose the Right Artificial Intelligence Solution for Your Security Problems

6 min read - If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.

Artificial Intelligence September 21, 2018

How Can Companies Defend Against Adversarial Machine Learning Attacks in the Age of AI?

5 min read - Machine learning can strengthen your security posture, but it's not without its blind spots. What do adversarial machine learning attacks look like, and how can companies stop them?

Intelligence & Analytics July 13, 2018

Security Analysts Are Overworked, Understaffed and Overwhelmed — Here’s How AI Can Help

3 min read - Today's security teams lack the time, talent and resources to keep up with the rapidly evolving threat landscape. AI can automate tedious processes and take some pressure off security analysts.

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Moazzam Khan

From Nigerian Princes to Bitcoin Trading: Online Scams Have Come a Long Way

Now That You Have a Machine Learning Model, It’s Time to Evaluate Your Security Classifier

Machine Learning Algorithms Are Not One-Size-Fits-All

How to Choose the Right Artificial Intelligence Solution for Your Security Problems

How Can Companies Defend Against Adversarial Machine Learning Attacks in the Age of AI?

Security Analysts Are Overworked, Understaffed and Overwhelmed — Here’s How AI Can Help

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Topic updates