Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Recently, industry analyst Jon Oltsik outlined a critical shift underway in cybersecurity: the move toward a threat-informed defense. As Oltsik describes, organizations are beginning to strengthen the intersection of vulnerability scanning and threat intelligence, using AI to bolster asset classification and risk scoring. This evolution is essential as enterprises seek to move beyond fragmented security practices and build a more cohesive exposure management strategy.

In our recent article on Continuous Threat Exposure Management (CTEM), we highlighted how exposure assessment platforms (EAPs) like Nucleus can support several critical phases of the CTEM framework. In that article, we intentionally separated the scoping step from the other technology-dependent CTEM stages. Scoping begins as a business- and process-driven exercise. However, doing scoping well and at scale relies more on having the right technology.

All the major vulnerability scanning vendors have strengths, but asset tracking isn’t one of them. Some workarounds exist. However, if you are using one of the most popular vulnerability scanning tools, it’s likely you will struggle with asset tracking.

Traditional vulnerability management is broken. It is ineffective. The process of scanning for software vulnerabilities, prioritizing based on CVSS scores, and fixing what you can has become an endless patch cycle. The need for a better approach is clear. Different scanning tools are creating millions of alerts, obscuring critical risks within the noise. Organizations need to go beyond finding and patching vulnerabilities and opt in to a more effective approach to managing exposures.

Every day, security teams are expected to manage risks in cloud environments that they don’t fully control, can’t always see, and that are constantly changing. Cloud-native assets—such as container workloads, autoscaling groups, and serverless functions—are highly dynamic, appearing, disappearing, and evolving in response to demand and functionality changes.

Measuring enterprise risk posture—its overall security readiness and resilience—is a complex challenge. Advanced security solutions, such as automated vulnerability management tools and unified risk dashboards, enable organizations to defend their networks with unprecedented efficiency. The rapid expansion of cloud environments and the intricacies of modern IT infrastructures, however, present an increasingly dynamic attack surface.