Vulnerability management remains core to reducing cyber risk — but as the attack surface grows, teams need a risk-driven strategy that looks beyond vulnerabilities to see the bigger picture. Discover how exposure management unifies data and prioritizes real exposures — keeping teams proactive and ahead of cyber threats.
The limits of siloed security
Over the years, the attack surface has grown significantly with the rise of cloud computing, software as a service (SaaS), internet of things (IoT), operational technology (OT), AI and other emerging technologies. The COVID-19 pandemic accelerated this shift, with many companies adopting hybrid, remote-office models, even as many, in recent years, have instituted return-to-office policies.
As digital infrastructure expanded, security teams added more tools to combat emerging cyber threats, leading to tool sprawl. Now, many organizations juggle dozens of different security tools, resulting in inefficiencies, especially when managing risk data and coordinating remediation efforts.
On the data side, cybersecurity teams are stuck with siloed, disorganized and often duplicate risk data. Without context, prioritization becomes a guessing game, making it hard to identify the most critical risks to address. At the same time, security leaders struggle to answer basic questions like, “How exposed are we to an attack?”
The operational challenge is equally concerning. Domain-specific practices remain manual and coordination between IT, DevOps, SecOps and CloudOps is hindered by fragmented tools and misaligned priorities. This fragmented approach leaves critical issues unaddressed for weeks or even months, significantly increasing exposure.
This is the reality of security operations today — fragmented data, inefficient workflows and a lack of comprehensive context leave security teams not only struggling to mitigate risks but also to fully understand their true level of exposure.

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