Security Analytics and Big Data: 4 Keys To An Effective Approach

Proper security analytics require big data—a fact that companies are increasingly starting to recognize. Nearly 30% of organizations claim they are collecting, processing, and analyzing significantly more security data than they did two years ago, and 42% acknowledge the future importance of leveraging big data for security purposes. But at the same time, only 13% of companies believe their IT security stack is up to the task of effectively collecting and analyzing data organization-wide.

So the question is: What’s the best way to approach data analysis across a large organization’s many operating systems and environments? What does your security team need in order to detect a minor incident before it potentially turns into a major breach? In choosing and deploying your big data security technologies, follow the four principles outlined below to devise a security analytics solution that provides access to hi-fidelity data across your operating environment while remaining flexible, fast, and insightful.

Watch this free webinar to learn about Osquery, the data it collects, and how it helps security teams leverage big data.

Security Analytics and Big Data: 4 Keys To An Effective Approach

Technology that lets you access and manipulate big data for security purposes will improve your ability to detect malicious activity, identify misconfigured or non-compliant assets, and hunt for threats, but it must be implemented thoughtfully to glean the full benefits. Many organizations use an ensemble of security tools to uncover meaningful data that helps teams identify vulnerabilities and defend against attacks intelligently.

1. Don’t let (Read more...)