Brad Harris - Security Researcher, IBM X-Force

Security Researcher, IBM X-Force

Brad has worked in the network and computer security field in both the public and private sectors. He has done everything from conducting penetration tests to reverse engineering to applied research. Currently he is a researcher for IBM's X-Force.

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 March 22, 2018

Generative Adversarial Networks and Cybersecurity: Part 2

3 min read - Researchers have shown how generative adversarial networks (GANs) can be applied to cybersecurity tasks such as cracking passwords and identifying hidden data in high-quality images.

Artificial Intelligence March 15, 2018

Generative Adversarial Networks and Cybersecurity: Part 1

4 min read - Generative adversarial networks are neural networks that compete in a game in which a generator attempts to fool a discriminator with examples that look similar to a training set.

Artificial Intelligence December 19, 2016

With AI2, Machine Learning and Analysts Come Together to Impress, Part 3: The Experiment

4 min read - Two researchers performed an experiment based on billions of log lines that demonstrated the importance of domain expertise in machine learning analysis.

Artificial Intelligence December 12, 2016

With AI2, Machine Learning and Analysts Come Together to Impress, Part 2: The Algorithms

4 min read - AI2 uses an "analyst-in-the-loop" system to improve itself and a "human-in-the-loop" system to create examples to be used in iterative training algorithms.

Artificial Intelligence December 5, 2016

With AI2, Machine Learning and Analysts Come Together to Impress, Part 1: An Introduction

3 min read - Machine learning systems like A12 are designed to augment human analysis with cognitive intelligence, enabling IT professionals to reduce false positives.

Cloud Security March 3, 2016

Security Challenges in the Cloud Environment

4 min read - Many enterprises are turning to the cloud for better availability and storage, but there are a number of threats that can put those environments at risk.

Threat Research November 5, 2015

Factorization Machines: A New Way of Looking at Machine Learning

3 min read - Here's a look at Steffen Rendle's theory on factorization machines — including how they could be used to assist data scientists in the future.

Threat Research September 4, 2015

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part III

3 min read - In the final installment of this series, we focus on S$A attacks as well as some ways your organization can prevent side-channel attacks on its VMs.

Threat Research August 28, 2015

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part II

6 min read - Discussion of two side-channel attacks meant to retrieve sensitive information from a virtual machine (VM) on the same physical processor package.

Cloud Security August 21, 2015

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part I

4 min read - This discussion is meant to facilitate the understanding of side-channel attacks, which affect today's modern multicore processors.

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Topics

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

Generative Adversarial Networks and Cybersecurity: Part 2

Generative Adversarial Networks and Cybersecurity: Part 1

With AI2, Machine Learning and Analysts Come Together to Impress, Part 3: The Experiment

With AI2, Machine Learning and Analysts Come Together to Impress, Part 2: The Algorithms

With AI2, Machine Learning and Analysts Come Together to Impress, Part 1: An Introduction

Security Challenges in the Cloud Environment

Factorization Machines: A New Way of Looking at Machine Learning

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part III

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part II

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part I

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