Artificial Intelligence – Page 26 – Computer Security Articles

Credit to Author: Sharon Gaudin| Date: Fri, 19 May 2017 03:00:00 -0700

When internet pioneer Vinton Cerf was 10, he was working on advanced math, and by the time he was 17, he was tinkering at programming at UCLA and beginning a lifelong “love affair” with computing.

Today, Cerf, known as the father of the internet, says software bugs are among the biggest dangers to enterprise IT and warns of the mounting challenges the IT community must face in what he calls the “digital dark age.”

Widely recognized for his contributions to technology, Cerf, 73, was awarded the U.S. National Medal of Technology for co-founding and developing the internet. He also was the recipient of the Presidential Medal of Freedom, the A.M. Turing Award and 29 honorary degrees.

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Security Wired

Courts Are Using AI to Sentence Criminals. That Must Stop Now

April 17, 2017 admin algorithms, Artificial Intelligence, Criminal Justice, Opinion, Security

Credit to Author: Jason Tashea| Date: Mon, 17 Apr 2017 11:00:01 +0000

Opinion: Courts should pause the use of algorithms for criminal sentencing. The post Courts Are Using AI to Sentence Criminals. That Must Stop Now appeared first on WIRED.

ComputerWorld Independent

A.I. faces hype, skepticism at RSA cybersecurity show

February 15, 2017 admin Artificial Intelligence, Security

Credit to Author: Michael Kan| Date: Wed, 15 Feb 2017 17:10:00 -0800

Vendors at this week’s RSA cybersecurity show in San Francisco are pushing artificial intelligence and machine learning as the new way to detect the latest threats, but RSA CTO Zulfikar Ramzan is giving visitors a reality check.

“I think it [the technology] moves the needle,” he said on Wednesday. “The real open question to me is how much has that needle actually moved in practice?”

It’s not as much as vendors claim, Ramzan warned, but for customers it won’t be easy cutting through the hype and marketing. The reality is that a lot of the technology now being pushed isn’t necessarily new.

In particular, he was talking about machine learning, a subfield in A.I. that’s become a popular marketing term in cybersecurity. In practice, it essentially involves building algorithms to spot bad computer behavior from good.

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ComputerWorld Independent

IBM Watson: Regular A.I. by day, cybercrime fighter by night

February 14, 2017 admin Artificial Intelligence, Cybercrime & Hacking, Emerging Technology, Security

Credit to Author: Rebecca Linke| Date: Tue, 14 Feb 2017 04:11:00 -0800

IBM Watson is an artificial intelligence of many talents.

It can win Jeopardy!, help find treatment for cancer patients — and now it can find cyberthreats. That’s right, Watson is becoming a cybersecurity expert. So how has IBM helped Watson change hats?

In IT Blogwatch, this reminds us of something.

So what is going on? Alison DeNisco has some background:

IBM Watson has a new job: Cybersecurity specialist. At the RSA Conference…IBM announced the availability of Watson for Cyber Security, with the aim of assisting cybersecurity professionals with threat assessment and mitigation…The company said it is the industry’s first augmented intelligence technology with the ability to power cognitive security operations centers (SOCs).

But what need does Watson fill here? Ian Barker has those details:

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ComputerWorld Independent

A.I.-based typing biometrics might be authentication's next big thing

January 27, 2017 admin Artificial Intelligence, Security

Identifying or authenticating people based on how they type is not a new idea, but thanks to advances in artificial intelligence it can now be done with a very high level of accuracy, making it a viable replacement for other forms of biometrics.

Research in the field of keystroke dynamics, also known as keyboard or typing biometrics, spans back over 20 years. The technique has already been used for various applications that need to differentiate among computer users, but its widespread adoption as a method of authentication has been held back by insufficient levels of accuracy.

Keystroke dynamics relies on unique patterns derived from the timing between key presses and releases during a person’s normal keyboard use. The accuracy for matching such typing-based “fingerprints” to individual persons by using traditional statistical analysis and mathematical equations varies around 60 percent to 70 percent, according to Raul Popa, CEO and data scientist at Romanian startup firm TypingDNA.

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