Over the past year, our industry has seen an explosion in artificial intelligence and cognitive solutions to assist with some of the most challenging cybersecurity problems. In some cases, cognitive solutions can increase analytical capability by 50 percent. With cognitive technology providing such high efficiencies for security teams, people often ask me wh

Machine learning has grown to be one of the most popular and powerful tools in the quest to secure systems. Some approaches to machine learning have yielded overly aggressive models that demonstrate remarkable predictive accuracy, yet give way to false positives. False positives create negative user experiences that prevent new protection from deploying. IT

From carbon-neutral clouds to net-zero data centers to completely renewable power, green technology is rapidly becoming a viable option for global corporations hoping to both improve long-term outlooks and align operations with changing consumer sentiment. Consider current projects by companies such as Salesforce, Apple and Toyota. According to Greentech Med

The data mountain is growing at an unimaginable rate, and making sense of it requires a lot of effort and patience. Unorganized information, or dark data, is difficult to interpret, which results in valuable information passing right by marketers unnoticed and unused. Cognitive technology can help make sense of this data, better align it to business goals an

The chief information security officer (CISO) faces threats such as compromised users, negligent employees and malicious insiders. For this reason, one of the most important tools in the CISO’s arsenal is user behavior analytics (UBA), a solution that scans data from a security information and event management (SIEM) system, correlates it by user and b

When we think of artificial intelligence (AI), we think of robots — machines that mimic human behavior or thought. This is partly the influence of comics, novels, movies and other pop culture tidbits, but the boundaries of AI have progressed far beyond this basic personification. Originally defined by Alan Turing, AI initially referred to any machine that co

Think about an industry that has had a huge labor problem for decades. Hiring managers can’t find enough skilled people, and it takes way too long to train someone to an effective level. With all of the advances in technology, why hasn’t there been a complete automation of procedures? The truth is that new technologies such as artificial intell

This is the final installment in a three-part series. Be sure to read part 1 for the more information on unified endpoint management (UEM) and part 2 for additional details surrounding the Internet of Things (IoT). Whether you read about it in a news article, saw it on a TV commercial or demoed it at a technology conference, you’ve probably had at leas

Because of the vast amount of data available and the fact that more is generated every day, the British scientist Thomas Young, who died in 1829, was known as “The Last Man Who Knew Everything.” Since that time, knowledge and available data has increased exponentially. The Man Who Knew Everything In 2010, former Google CEO Eric Schmidt noted that

This is the first article in a three-part series on how IBM Watson for Cyber Security can help analysts win the arms race against the increasingly sophisticated cybercrime landscape. IBM’s latest and most glamorous offering in the security space is QRadar Advisor with Watson. This technology is designed to reduce the time taken to identify, classify an

“To function effectively in this knowledge economy, you need to read through trillions of data points. You basically need to go back to school every day to answer the questions that hit your desk. That is the challenge of the knowledge economy. And that is where I believe we can do something different in security with AI and cognitive.” — Marc va

Last month at the RSA Conference, I saw a lot of companies selling security incident response automation. Their promise was to replace people with computers — sometimes with the addition of machine learning or other artificial intelligence (AI) techniques — and to respond to attacks at computer speeds. While this is a laudable goal, there’s a fundament

Artificial intelligence (AI) and its role in security was a hot topic at last month’s RSA Conference in San Francisco. But some cold water was also being thrown on the growing tendency of vendors to use AI, especially machine learning, as marketing hype. AI indeed “moves the needle,” Zulfikar Ramzan, the RSA chief technology officer (CTO),

The first rule of Security Club is don’t talk about security — or, more accurately, don’t get so overzealous about security that you stop delivering value to the business. We need to talk about business value, not security. Many security professionals have fallen into this hole, and it’s easy to see how. Any security briefing will tell you

Security analysts today are drowning in data. Even the most talented, knowledgeable and efficient analysts are overwhelmed with hundreds more alerts and anomalies than they can reasonably address, and the problem is only getting worse. This is one of the main reasons why IBM recently announced the Cognitive Security Operations Center (SOC). An industry first