Cyber threat intelligence is one of the hottest topics in cybersecurity today. Many firms are investing heavily in developing and deploying solutions to identify and respond to cyber threats. But despite the hype surrounding cyber threat intelligence, many firms still struggle to make sense of the data they collect.
Why are firms struggling to make sense of their data, and how they can overcome this challenge? We asked around. It looks like three key challenges emerged, and here they are:
1. Data quality – How do we know if our data is accurate?
2. Data volume – How much data do we need to store?
3. Data integration – How do we combine multiple sources of data?
We’re working on ideas around these 3 most common problems. We’re working with firms of all sizes to help solve them. When we get to firm, across-the-board answers, we’ll post them. In the meantime, knowing the most common issues firms are facing in the threat intelligence arena gives us all a good place to start.
Got workarounds or solutions to these issues? Drop me a line on Twitter (@lbhuston) and let me know how you’re doing it. We’ll share the great ideas as they are proven out.