PC Mag – Esther Schindler – 8/19/16
[Ed. note: CA Technologies mention within the data chart in the article .]
IT security is a dangerous and expensive hellhole. Vast amounts of money are spent protecting company data and networks. Hordes of bad guys are motivated to break in, and the consequences for failure are more painful than the cost of protection.
Worse, the current ways that Chief Security Officers (CSOs) deal with security are intrusive. While core security tools such as managed endpoint protection will always be necessary, every one of us has bemoaned the difficulty of managing passwords, cussed about access rights to the software we need, and complained about the barriers between us and the work we need to do. If security procedures worked 100 percent of the time, perhaps we'd be okay with it—but hey, have you noticed how many breaches are still reported? Me, too. Just take a look at how the number of data breaches per year has exploded in this graphic below (by data analytics and visualization blog Sparkling Data). The graphic shows data breaches since 2009, broken out by industry type and how many millions of records were compromised:
But there's good news as well. The same machine learning (ML) technologies and predictive analytic algorithms that give you useful book recommendations and power your most advanced self-serve business intelligence (BI) and data visualization tools are being incorporated into IT security tools. Experts report that you probably won't spend less money on your company's IT security because of this, but at least your staff will work more efficiently and have a better chance of finding hackers and malware before damage is done.