The real risk in cloud security comes from the time between when an alert appears and when a fix is made.
Every cloud team knows that gap exists…
Alerts stack up by the thousands, each one waiting to be investigated, validated, and routed to the right person. Engineers chase noise while critical issues sit unresolved.
By the time a fix is approved, new risks have already appeared. The backlog never stops growing. When you consider that the average Mean Time to Remediate (MTTR) for critical alerts is 128 days, it becomes clear why change is needed.
The problem isn’t a lack of visibility, but rather the drag between detection and remediation. In the cloud, that delay defines exposure. The longer it takes to act, the greater the chance of a breach, compliance failure, or lost uptime.
That’s why Mean Time to Remediate (MTTR) has become the metric that matters most. It doesn’t measure how fast you can find a problem, but how fast you can resolve it and make it disappear for good.
The Problem: Visibility Without Velocity
With CNAPPs, cloud security teams finally got the visibility they asked for. Then the alerts never stopped.
Modern CNAPPs scan every layer of your environment, including workloads, permissions, containers, and IaC templates to flag anything that looks risky. The problem isn’t how much they find, it’s how little context they provide. Each alert exists in isolation, stripped of the detail engineers need to understand whether it’s real, relevant, or safe to ignore.
That lack of context turns visibility into noise.
Teams spend days investigating alerts that go nowhere, validating low-impact findings, and reopening the same issues because they can’t see how risks connect. Nearly half of all cloud alerts are false positives, but each one still consumes time and attention.
Without context, prioritization becomes guesswork. Critical misconfigurations get buried under the trivial. A public storage bucket or over-permissive IAM role can sit open for weeks while the team works through a queue of low-value tickets.
This leads to an interesting paradox where visibility keeps increasing while speed and velocity collapse. Security teams can see everything, but can’t move fast enough to fix what matters most.
MDRs and the Automation Trap
When the backlog grows, most teams turn to automation (or to their MDR) to help contain it. But automation without strategy is where things start to break down.
Legacy MDRs were never built for the cloud. Their playbooks revolve around endpoints and SaaS logs, not Kubernetes clusters, IAM roles, or VPC flow data. They know how to detect activity, but not how to fix it.
When they’re plugged into a CNAPP, they do the only thing they can: forward the alert.
That handoff adds another layer of delay. Analysts in the MDR queue triage, escalate, or “acknowledge” alerts that your team still has to remediate. You’re paying for an extra step that slows everything down. In the time it takes for one alert to move through that process, new ones have already filled the queue.
This type of automation doesn’t help much either. Traditional SOAR tools follow rigid scripts based on if this, then that logic. They can’t adapt to the nuances of your cloud environment or the business context of each system. Shutting down a resource might stop a threat, but it can also take a revenue-critical service offline. That fear of breaking production means most automated playbooks stay disabled because they lack the necessary context.
The outcomes stay the same: endless triage, no real progress, and a team stuck maintaining alerts instead of resolving them. In this scenario, automation promises speed, but in practice, it only adds more steps between problem and fix.
How Tamnoon Changes the Speed Equation
Automation isn’t the problem, it’s how it’s been used.
Static scripts and one-size-fits-all playbooks can’t keep pace with a living, changing cloud. What teams need isn’t more automation, but rather automation that thinks, prioritizes, and acts with context.
That’s exactly what we designed our AI-powered cloud security agent Tami to do.
Tamnoon works with your existing CNAPP to turn visibility into velocity. It takes the findings you already have and transforms them into action that’s safe, fast, and focused on what matters most. Here’s how:
- Connects to your CNAPP: Tamnoon ingests alerts from platforms like Wiz, Prisma, or Orca and correlates them across workloads, identities, and configurations to surface what’s actually exploitable.
- Investigates automatically: Our AI agent Tami performs deep triage, gathering context, identifying dependencies, and filtering out noise before humans ever touch the queue.
- Generates safe remediation playbooks: Each verified issue is turned into a production-safe plan designed for your specific environment.
- Adds expert validation: Tamnoon’s CloudPros review and approve playbooks before they run, combining speed with the safety only experience provides.
For many companies, this means a 70% faster MTTR across critical issues while greatly reducing their alert backlog and increasing trust between security and operations teams.
This is what modern, AI-powered remediation looks like. It’s fast, contextual, and safe, delivering speed at scale that’s backed by real expertise.
Close the Gap Between Knowing and Doing
Every open alert is time for attackers to move, compliance to drift, and teams to fall behind.
Reducing MTTR is more than a performance goal. Done right, it’s the measure of how resilient your cloud really is. The faster you can investigate, validate, and fix, the smaller your exposure window becomes.
For many organizations, success is based on your ability to remediate quickly and safely at scale.
Tamnoon makes all of this possible by combining agentic automation with human expertise, so teams finally have a way to keep pace with dynamic cloud environments, resolving issues in hours rather than months and demonstrating measurable progress to leadership.
Because the reality is: you don’t need more alerts, you need fewer open ones.
Ready to see what real speed in cloud security looks like? Book a demo today and see how intelligent remediation closes the gap between detection and resolution, turning speed into your strongest layer of defense.
