From the Blogosphere
Hacking Wars & #MachineLearning at @CloudExpo | #ML #IoT #M2M #BigData
There is no doubt: machine learning technology has amazing potential in the cybersecurity place
By: Ed Featherston
Oct. 4, 2016 12:00 PM
It feels like the barbarians are continually at the gate. We can't seem to go more than a week before a new data breach is in the news, impacting potentially millions of individuals. The targets range from companies like Omni Hotels, which had been breached affecting up to 50,000 customers whose personal and credit card information was exposed, to North Carolina State University, where over 38,000 students' personal information, including their SSNs, were at risk. As I mentioned in a recent blog ‘Internet of Things and Big Data - who owns your data?', we have been storing our personal and credit card information in a variety of systems, credit card companies, banks, online retailers, hotels - and that's just naming a few. The information in those systems is more valuable than gold to the hackers. The hacker attacks are constant, creative, and changing frequently.
Preparing to prevent, detect, and respond to these barrage of attacks is a daunting task. This is not meant to be a doom and gloom, the sky is falling discussion. It is just a reality of networked systems. Our challenge as technologists is to help the business understand the risks, the tools and processes needed to help protect and respond. One of the new tools entering the conversation is machine learning. Let's take a look at the challenges and how machine learning may be a valuable asset in the battle.
Walking the tightrope over a tank of hungry sharks
Sadly, we have all seen the situation where many companies operate in reactive mode. When a high profile breach occurs, it's all hands on deck. Are we at risk? What are our security and response measures? New plans are drawn up for the situation - everyone feels great and the situation is under control. As the memory of the breach fades, the plans are not revisited. That is, until the next high profile breach.
Part of the challenge is the rapidly changing, disruptive technology environment we work in. Things are moving at breakneck speeds. Connected devices growing at exponential rates. This introduces potential new risks we may not even be aware of. To keep up with that rapid pace requires resources, which are also required to help develop new functionality and provide business value to the company. Striking the balance is not easy. Hackers' resources are focused on one thing, and one thing only, finding the holes in that disruptive environment. Hence, the tightrope and the shark tank.
Entering from stage right, machine learning
Imagine if you could leverage that capability to help deal with your cybersecurity risks and challenges. Machine learning tools that are constantly receiving information about changes in your systems, access to your systems, other breach attacks, information about risk points, security patches. The potential benefits could help make sure you are staying on that tightrope.
Machine Learning is already in the cybersecurity space
No technology is a silver bullet
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