Cloud security isn’t just about finding risks — it’s about fixing them, and fast. Every organization using the cloud faces the same problem: too much data, too many alerts, and not enough resources to deal with them all. Security teams are drowning in information, struggling to separate real threats from noise, and unable to assess the real impact of a security decision on the business. The question isn’t just whether to buy cloud security solutions or build an in-house program; it’s about finding a practical way to cut through the chaos to actually secure your cloud environment.
Most companies don’t have the security expertise or bandwidth to handle cloud security on their own. Managed solutions, tools, services, and external expertise all promise automation and efficiency, but they also introduce dependencies and limitations. But while building cloud security tools in-house gives organizations control, it also requires experienced talent, resources, and constant maintenance. The reality is, neither option alone is enough. Organizations must find the right balance between automation and human insight to ensure their security strategy isn’t just checking boxes but actually reducing risk.
More data, more problems
Cloud platforms generate an overwhelming amount of data, and security teams are expected to make sense of it all. The problem? Humans can’t manually triage every alert, determine what’s exploitable, and prioritize risks effectively. Legacy approaches relying on human-led investigations and ticket queues don’t scale. Security teams need intelligent automation systems that can filter out the noise, highlight real threats, and recommend actionable fixes.