Increasingly, companies are becoming aware of the importance of building threat detection and hunting capabilities that avoid putting their businesses at risk. Now more than ever, when it comes to both protecting enterprise cybersecurity and delivering effective IT security solutions and services, organizations and MSPs can no longer simply act when cyberattacks occur, but long before they even pose a threat.

In recent months, we’ve seen a sharp rise in software supply chain attacks that infect legitimate applications to distribute malware to users. SolarWinds, Codecov and Kesaya have all been victims of such attacks that went on to impact thousands of downstream businesses around the globe. Within minutes of these high-profile attacks making headline news, CEOs often ask: “Should we be concerned? How is it impacting us? What can we do to mitigate risk?” .

As a (fairly) new member of Splunk’s Threat Research team (STRT), I found a unique opportunity to train machine learning models in a more impactful way. I focus on the application of natural language processing and deep learning to build security analytics. I am surrounded by fellow data scientists, blue teamers, reverse engineers, and former SOC analysts with a shared passion and vision to push the state of the art in cyber defense.

Today’s enterprise networks are heterogeneous, have multiple entry points, integrate with cloud-based applications, offer data center delivered services, include applications that run at the edge of the network, and generate massive amounts of transactional data. In effect, enterprise networks have become larger, more complex, and more difficult to secure and manage.

Security and IT teams may be loathe to admit it, but security has historically been mostly a reactive affair. Security engineers monitored for threats and responded when they detected one. They may have also taken steps to harden their systems against breaches, but they didn’t proactively fight the threats themselves. That is changing as more and more teams add threat hunting as one pillar of their cybersecurity strategies.

Threat hunting is emerging as a must-have addition to cybersecurity strategies. By enabling organizations to find and mitigate threats before they ever touch their networks or systems, threat hunting provides the basis for a more proactive security posture – and one that delivers higher ROI on security tools and processes. How can businesses actually add threat hunting to their security arsenals? That’s where solutions like Sumo Logic's Cloud SIEM come in.