Key takeaways
- Most cloud security teams have visibility. What they lack is context: knowing which findings matter right now.
- The context gap shows up in four places: vulnerability prioritization, runtime blind spots, shadow AI and compliance.
- Runtime context closes each gap by grounding findings in what’s actually running, reachable and in use. Upwind customers report 93% fewer findings to triage.
- Upwind’s Inside-Out approach combines agentless scanning with runtime sensors. GuidePoint’s Cloud Security Health Check maps that runtime data to your policies and regulatory requirements.
Most cloud security teams can see their environment. Inventory is broad, scanners run on schedule and findings pile up. What they can’t tell you is which of those findings matter right now.
That’s the context gap. Visibility was the right foundation, and most programs have built it (see where yours sits on the cloud security maturity journey). The next step is grounding every finding in what’s actually running, reachable and in use.
We wrote about this with our partner GuidePoint Security. Here are the four places the gap hurts most, and how runtime context closes each one. For the longer version, read the full article on GuidePoint’s blog.
Four places the context gap shows up
Vulnerability prioritization
A scanner can report thousands of CVEs, and on paper they all look alike. Teams triage the same list every week and strain trust with engineering over fixes that never mattered. Upwind ranks findings by whether the package is loaded, the workload is internet-exposed and an attacker can reach it. Upwind customers report 93% fewer findings to triage.
Runtime blind spots
Containers live for minutes. Yesterday’s scan doesn’t describe today’s environment, and lateral movement between services rarely trips a perimeter alert. Runtime sensors map east-west traffic and service-to-service calls as they happen, so the topology you investigate is the one that exists.
Shadow AI
AI adoption has outrun security review. Teams find models and agents nobody onboarded, approved tools that shipped AI features overnight, and internal apps calling external AI APIs. Upwind discovers AI workloads at runtime, shows what data they touch and which providers they talk to, and flags behavior that breaks baseline.
Compliance
Audits check static configurations at a point in time. Between audits, nobody is quite sure. Upwind continuously maps the running environment against frameworks like SOC 2, ISO 27001, PCI DSS and NIST, so you can answer an auditor on any day of the year.
Inside-Out: built from the workload outward
Upwind calls this approach Inside-Out security. Agentless scanning gives you breadth across every account. Runtime sensors add what’s executing, communicating and under attack. Both feed one picture, refreshed every 30 seconds, with attacks detected in 15 seconds.
The question changes from “what’s vulnerable?” to “what’s vulnerable, reachable and in use right now?”
“What’s most important is context. Where I see cloud security going is understanding the context and being able to make good judgements off of that.” Eli Edelkind, CISO of Infrastructure and Tech Operations, CAVA
Where GuidePoint and Upwind help
Closing the gap takes two things: live runtime data, and the program context that turns it into decisions. Upwind supplies the runtime data. It gives you a live view of what’s executing, what it talks to and what’s exposed to the internet.
GuidePoint’s Cloud Security Health Check supplies the second. Their team assesses your environment against more than 150 risk and security controls and maps findings to your policies and regulatory obligations. Run on Upwind runtime data, the roadmap reflects what’s running, not what was configured.
See what runtime context changes for your team.
Request an Upwind demo, or book a Cloud Security Health Check with GuidePoint.