Tamnoon, the cloud security platform built for the Frontier AI era, today announced “Closing the Cloud Remediation Gap: Perspectives from 50 Security Leaders,” a new industry report exploring why organizations continue to struggle to resolve cloud security issues even as their ability to identify misconfigurations, vulnerabilities, and other exposures has improved.
Cloud security tools have become increasingly effective at surfacing risk, but detection is only the beginning. Remediation requires teams to determine what matters most, identify the right owner, understand dependencies and blast radius, coordinate changes across functions, and validate that a fix will not disrupt production. At enterprise scale, these challenges can turn straightforward findings into persistent operational backlogs.
“Cloud security has made tremendous progress in visibility, but visibility alone does not reduce risk,” said Marina Segal, CEO and Co-Founder of Tamnoon. “The harder question is what happens after a finding is identified: who owns it, how it should be prioritized, what dependencies stand in the way, and how teams can act without disrupting production. By bringing together the experiences of 50 security leaders, this report is intended to give the broader community a practical view of where remediation stands and where it needs to go next.”
The gap between detection and safe remediation. The report will examine the widening operational gap between an issue being identified and that issue being safely closed. Contributors will address how ownership models, organizational handoffs, competing priorities, change-management requirements, skills shortages, and the growing scale of cloud environments affect remediation outcomes. The research will also explore why generic playbooks and one-size-fits-all automation can fall short when every environment has different dependencies, business context, and safety controls.
AI is changing both sides of the equation. As AI-assisted development accelerates how quickly code and infrastructure change, security teams are also evaluating AI-powered and agentic approaches to investigation, prioritization, validation, and remediation. The report will gather candid perspectives on where AI can help organizations act at machine speed, where context-aware and environment-specific automation is required, and where human judgment and expert oversight remain essential for high-risk changes.
“The Frontier AI era is increasing the speed at which cloud environments evolve and risk is created,” Segal added. “Defense cannot respond with more dashboards alone. The industry needs a better operating model for turning detections into safe, validated outcomes. This report will capture how security leaders are thinking about that transition – not as a single product decision, but as a combination of people, process, governance, automation, and trust.”
Designed as a practical, vendor-neutral collection of insights, “Closing the Cloud Remediation Gap” will reflect a range of viewpoints rather than promote a single technology or framework. The report will focus on the lessons, emerging practices, and strategic priorities security leaders believe can help organizations move from reactive alert management toward more proactive, orchestration-driven remediation.
The report is scheduled for release during RSAC 2027 Conference in San Francisco and will be shared with the broader security community. Publication updates and the completed report will be available through the Tamnoon Intelligence Hub.
About Tamnoon
Tamnoon is the Frontier AI cloud defense platform. Its AI engine, Tami, works across clouds and CNAPPs to orchestrate customer-specific remediation skills informed by 10M+ real cloud fixes. By combining AI-powered scale with expert supervision and production-safety controls, Tamnoon helps organizations prioritize, validate, and execute cloud fixes with confidence, turning detections into validated, closed findings. Visit tamnoon.io.