With smartphones, tablets and laptops, employees have more devices to stay connected to the office than they have hands. While this flexibility is convenient for employees, it poses unprecedented challenges for IT departments.
A cyberattack on a University of Delaware computer system exposed more than 72,000 people to identity theft and could cost the school millions of dollars.
A survey by Tripwire, Inc., and the Ponemon Institute reveals that while 75 percent of respondents say metrics are ‘important’ or ‘very important’ to a risk-based security program, 53 percent don’t believe or are unsure that they are used in their organizations are properly aligned with business objectives.
In the first part of this series, we looked at the definition of Big Data and the business benefits that companies are beginning to see from this new technology. Today, we drill down on what types of security data might make up a Big Data strategy, with an eye toward what types of analytics might help extract value from that data.
When I was growing up in New Jersey, if someone hit you in the nose and took your lunch money, well, you didn’t eat lunch that day. In the cyber world the punches are bigger, the dollars are tremendous and you don’t eat lunch because once your intellectual and physical property is gone, so are the jobs and paychecks that IP created.
