Interest and uses for Big Data continue to expand. But can Big Data also help with detecting and stopping cybersecurity threats? This week’s FIN News Alert looks at the iTWire article, “Big Data Analytics Is Key to Strong Cybersecurity,” discussing how traditional layered security systems may no longer be enough to prevent data breaches. Here are some more details:
- The Ponemon Institute has released theBig Data Cybersecurity Analytics Research Report.
- The report found that organizations using analytics to identify departures from known good behavior are 2.25 times more likely to identify a security incident within hours or minutes.
- 72% of respondents said Big Data analytics played an important role in detecting advanced cyberthreats.
- 65% said Big Data analytics are essential to creating and ensuring strong cybersecurity postures.
- Of 11 common cyberthreats, the gaps causing the biggest concern were in the organization’s ability to detect:
- Advanced malware/ransomware
- Compromised devices (e.g., credential theft)
- Zero-day attacks
- Malicious insiders
- Finally, the report pointed out that heavy users of Big Data analytics have a higher level of confidence in their ability to detect cyberincidents than light users.
- Larry Ponemon, chairman and founder of the institute, stated, “Not only does this first-of-its-kind report show that organizations know they have the information needed to stand up against advanced threats, but it also reveals that when data is used in conjunction with the right analytic tools, it can be used to reduce risk across their organizations.”
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