By Dr. Larry Ponemon
Big Data Cybersecurity Analytics, conducted by Ponemon Institute and sponsored by Cloudera, provides more evidence that the use of big data analytics is very important to ensuring a strong cybersecurity posture. Dr. Larry Ponemon and Rocky DeStefano, Cloudera’s cybersecurity subject matter expert, will participate in a webinar on October 11 to discuss key findings from the research.
Following are key findings from the research.
• Organizations are 2.25X more likely to identify a security incident within hours or minutes when they are a heavy user of big data cybersecurity analytics.
• Eighty-one percent of respondents say demand for big data for cybersecurity analytics has significantly increased over the past 12 months.
• Heavy users of big data analytics have a higher level of confidence in their ability to detect cyber incidents than light users. With respect to 11 common cyber threats, the biggest gaps between heavy and light users concern the organization’s ability to detect advanced malware/ransomware, compromised devices (e.g., credential theft), zero day attacks and malicious insiders. The smallest gaps in detection between heavy and light users concern denial of services, web-based attacks and spear phishing/social engineering.
• Companies represented in this research are allocating an average of $14.50 million to IT security in fiscal year 2016 and an average of $2.32 million (16 percent) of this budget is allocated to analytics tools.
We hope you will join us for a unique perspective on the state of big data cybersecurity analytics.