Stale tags push your exposure window to 9 months. Nobody notices
Nine month exposure windows for vulnerabilities are persisting because security teams cannot identify the functional owners of assets or verify if fixes will break production.
The capacity paradox in cloud security
Cloud security detection has reached its logical limit. Organizations have granular visibility into misconfigurations, over-privileged identities, and vulnerable packages. However, data from the 2026 State of Cloud Remediation report shows a divergence: while detection volume grows, the ability to act on those detections is stagnating.
Analysis of 14.86 million cumulative detections shows that 53% of alerts remain open as of May 2026, up from 41% the previous year. This is not a failure of alerting logic. It is a failure of the remediation pipeline. The bottleneck is no longer knowing what is wrong. It is determining who is responsible for the fix and whether that fix will break production.
The 150 day criticality gap
The Mean Time to Remediate (MTTR) for critical alerts, which represent the highest risk to the business, has ballooned to 150 days. This is an increase from under 40 days in 2024. During this same period, critical alert volume grew tenfold, yet the speed of response slowed by 17%.
Vulnerability management shows a similar trend. The time required to close vulnerabilities has slowed by 22%, shifting from 230 days to 282 days. Because vulnerability management accounts for 19% of 2026 alert volume, this nine month exposure window represents a massive residual risk that standard cloud native application protection platforms (CNAPP) have failed to compress.
- TamnoonLeader9.3
Remediation operations
- Owned and reported weekly
- Blast-radius and exploitability
- Reviewed before every change
- Remediation automation tools7.2
Dazz, Opus, Seemplicity
- Routing, not closure
- Rules and ownership mapping
- Depends on playbook quality
- CNAPP native workflows6.8
Wiz, Orca, Defender
- Your engineers
- Severity and attack path
- Left to the ticket owner
- Internal remediation squad6.4
In-house
- Limited by headcount
- Strong on local context
- Strong, but slow
| Player | Backlog burn-down | Prioritization quality | Change-risk review | Score |
|---|---|---|---|---|
| TamnoonLeaderRemediation operations | Owned and reported weekly | Blast-radius and exploitability | Reviewed before every change | 9.3 |
| Remediation automation toolsDazz, Opus, Seemplicity | Routing, not closure | Rules and ownership mapping | Depends on playbook quality | 7.2 |
| CNAPP native workflowsWiz, Orca, Defender | Your engineers | Severity and attack path | Left to the ticket owner | 6.8 |
| Internal remediation squadIn-house | Limited by headcount | Strong on local context | Strong, but slow | 6.4 |
The delay is rarely technical. Writing a policy to enforce IMDSv2, the most prevalent alert in 2025 at 14.7% of volume, takes minutes. The delay occurs during the weeks spent identifying the application owner, verifying that the change won't disrupt legacy compute instances, and navigating internal change management.
Ownership as a data problem
In cloud environments, static asset tagging is insufficient. Tags are frequently stale, missing, or generic (such as "Owner: DevOps"). When a security team attempts to route a critical finding, they often hit a wall of "not my resource."
Tamnoon addresses this friction through layered signal ownership resolution. The system analyzes multiple telemetry streams, including IAM activity, deployment history, and network traffic, to identify the functional owner of an asset. This is coupled with a human fallback mechanism: Tamnoon CloudPros act as an expert layer to verify ownership and logic on demand.
This approach transforms remediation into a managed service. By resolving ownership accurately, the system can place the remediation context (CLI commands, IaC templates, and validation scripts) directly in front of the engineer who has the authority to apply them.
The role of agentic remediation skills
Automation in remediation has historically been viewed with skepticism due to the risk of downtime. To mitigate this, the industry is moving toward agentic models. Tamnoon utilizes Tami, an AI cloud security agent that employs specialized skills to answer operational questions before a fix is proposed:
- What is the asset criticality (e.g., is it one of the 6.3% of "Crown Jewel" assets)?
- What are the downstream dependencies?
- What is the Remediation Confidence Score (Safe, Risky, or Awaiting Data)?
This modular intelligence allows for a 90% reduction in the manual effort required for remediation. For a Fortune 1000 healthcare company, this shift resulted in an 87% reduction in the cost per remediation. The system acts as a tool agnostic copilot that integrates with existing stacks like Wiz, Prisma Cloud, AWS Security Hub, and Microsoft Defender for Cloud.
Moving beyond the backlog
Effective remediation requires a shift in metrics. Organizations should move away from measuring detections surfaced and toward findings closed. By utilizing a supervised remediation model where AI generated fixes are verified for safety and prevention plans are shipped with every remediation, enterprises can address the 282 day vulnerability gap.
Capacity, not visibility, is the new frontier of cloud security.
| Metric | 2024/2025 Figure | 2026 Figure | Trend |
|---|---|---|---|
| Open Detections | 41% | 53% | +29% Increase |
| Critical MTTR | <40 Days | 150 Days | +275% Increase |
| Vulnerability MTTR | 230 Days | 282 Days | +22% Increase |
| Critical Alert Vol. | Baseline | 10x Growth | 1000% Increase |
Source: Tamnoon 2025/2026 State of Cloud Remediation Reports.
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- 2026 State of Cloud Remediation report analyses 14.86 million cumulative CNAPP detections across hundreds of enterprise environments and 800 accounts
- As of May 2026, 53% of detections remain open, up from 41% in 2025
- Critical alerts stay open on average 150 days, up from under 40 days in 2024; critical volume grew 10x while critical MTTR rose 17%
- Vulnerability management closure slowed 22%, from 230 to 282 days; it is roughly 19% of 2026 alerts
- 6.3% of detections touch a Crown Jewel asset; availability alerts fell 63%; IAM hygiene and credential access each fell 23%
- 2025 report analysed over 4.76 million CNAPP alerts over 12 months; average critical MTTR was 128 days
- 2025: criticals are ~1.36% of alerts, ~34% are high — the high queue is 17x the critical queue
- 2025: failure to enforce IMDSv2 was the most prevalent alert at ~14.7% of volume, with fewer than half of EC2 instances enforcing it; only ~1.5% of S3 buckets were public; compute misconfigurations occurred more than twice as often as storage ones
- Tami is Tamnoon's AI cloud security agent: a multi-agent system using a model trained on Tamnoon's remediation history plus general LLMs under guardrails
- Tamnoon enriches, deduplicates and prioritises alerts by risk and asset criticality (Crown Jewels); outputs CLI commands, IaC templates and validation scripts, stating it handles 90% of the effort; every remediation ships a prevention plan
- Remediation Confidence Score: blast-radius/dependency analysis scoring a fix SAFE, RISKY or AWAITING DATA
- Agentic remediation skills: specialised agents each answering one question (what the asset is, what depends on it, who owns it, what worked before, what breaks)
- Ownership resolved through layered signals rather than stale tags, with human fallback
- CloudPros: human cloud security experts who verify AI logic and safety on demand; CNAPP Copilot is tool-agnostic, bring-your-own-CNAPP, no rip and replace
- A Fortune 1000 healthcare company achieved an 87% reduction in cost-per-remediation
