Topic starter
24/06/2026 10:56 pm
TL;DR: Cloud-native teams are drowning in overlapping visibility tools, while AI-assisted development and faster deployments are pushing vulnerabilities into production before alert queues can keep up, according to Aqua Security. The real shift is from collecting findings to reducing exploitable exposure in runtime, where business context and operational clarity now matter more than raw signal volume.
Editorial analysis by NHI Mgmt Group, based on content published by Aqua Security: “Aqua Security: Built for This Moment”.
Key questions
Q: How should security teams prioritise cloud vulnerabilities when runtime exposure is unclear?
A: Teams should prioritise vulnerabilities that are reachable in the current runtime state, not just those that score highest in abstract.
Q: Why does AI-assisted development make visibility-first cloud security less effective?
A: Because code and deployment cycles are moving faster than human triage and alert review.
Q: How can organisations reduce alert fatigue from cloud security tools?
A: Reduce alert fatigue by filtering findings through runtime evidence, business context, and actual execution paths.
Practitioner guidance
- Prioritise runtime exposure over raw findings Re-rank vulnerability and misconfiguration queues by whether the issue is reachable in production, paired with compensating controls, and tied to a live business service.
- Separate exploitable issues from non-actionable noise Add triage rules that deprioritise dormant or isolated findings when they cannot be reached from production paths or meaningful identity permissions.
- Tie cloud risk decisions to business context Map workloads, data paths, and privilege boundaries so that remediation decisions reflect operational impact rather than scan counts alone.
Bottom line: Cloud security is moving from signal collection to runtime exposure reduction because production moves faster than visibility-first workflows can keep up.
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25/06/2026 7:45 am
Runtime exposure management is the natural next phase after visibility-first cloud security. Once cloud environments scale faster than human triage, dashboards stop being a control and become an evidence stream. The governing question shifts from how much you can see to what you can safely leave exposed in production. For practitioners, that means operational clarity becomes more valuable than inventory completeness.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
- Kubernetes production adoption has surged from 66% in CNCF's 2023 survey to 82% in 2025.
A question worth separating out:
Q: Should organisations replace visibility tools with runtime protection platforms?
A: No. The better test is whether the current stack can identify what is exploitable in production and reduce the blast radius of live workloads. Visibility still matters for discovery and investigation, but it should support protection decisions rather than stand in for them.
👉 Read our full editorial: Runtime exposure management is replacing visibility-first cloud security