A quick and fact-rich lesson in the current state of cyber security and what new advancements and opportunities exist with emerging big data analytics. Cyber security is going to be an enduring hot topic – and one that should be on the radar of all enterprise IT and IT cyber security practitioners. A quick fact:
Cybercrime costs $118 billion annually and takes an average of 18 days to resolve at a cost of nearly $416,000 over those 18 days.
Be careful when reviewing average costs and days to resolution. Yours are likely to be higher. And it’s worth noting that all figures (costs and time) are projected to climb as cyber-attacks continue to increase and grow in severity.
Big Data Security
When we discuss big data analytics with regard to security, we are really referencing the ability to gather massive amounts of data in order to extract the type of insights that predict and help prevent crippling cyber-attacks. Fortunately, there are now advanced tools and techniques that enable enterprises to stay ahead of the perpetrators. It’s not just the capability to execute big data analytics. It’s the combination of that plus specific security technologies that yield today’s strongest defensive posture.
It has become a multi-pronged solution: big data security analytics provide high-speed, automated analysis that brings aberrant network activity into clear focus to detect, stop and shorten the time to remediation when attacks occur.
The first step in getting started is around collecting and aggregating security data. Think about the overall environment and the systems in place, and their role in the organization from a risk assessment perspective — what are the most important systems and data to protect first.
A Good Resource To Review
A good big data security resource to look at to further ramp up your understanding of this topic is: “Big Data Analytics in Cyber Defense,” a study conducted by the Ponemon Institute that captures the current state of cyber security. It also measures organizations’ awareness of new technologies. Some of the findings you’ll see:
- Cyber attacks are getting worse, but only 20 percent of organizations are effective at stopping them.
- Less than half of organizations are vigilant in preventing or detecting potentially dangerous traffic from entering their networks.
- 61 percent feel big data analytics can solve pressing security issues faced by companies and government.
- 35 percent of organizations say they have solutions in place that are the same or comparable to big data analytics.
- IT and IT security practitioners see the value of big data analytics in reducing cyber risk. Among the rest of their organizations, there is a significant drop in perceived value.
It’s alarming that the study reveals that while cyber crime is escalating, most organizations are less prepared than they were last year. Plus, knowledge of new big data security technologies is low.
Why Big Data Security Improves Cyber Defense.
Enterprise research confirms that traditional solutions continue to fall short in detecting and stopping threats. By transforming data into information for strategic advantage, and making that information actionable in near-real time, security teams become more proactive in their security posture. Improved reaction times, more comprehensive forensic investigations and heightened defensive measures are all specific benefits.
New big data tools and data management techniques are emerging that can efficiently handle the volume and complexity of IP network data, and should be part of an enterprise cyber defense strategy.
Other Resources On Big Data Analytics and Big Data Security
For more on big data analytics and cyber security check out: “Data Security is a “Lifecycle” Commitment”. “The Big Data Analytics in Cyber Defense” Infographic.