Prowler Found 847 Misconfigurations in Your AWS Account. Now What?

If you've ever run Prowler against your AWS account, you know the feeling.

The scan finishes. The terminal floods with red. 847 findings. Critical, High, Medium - an endless wall of misconfigurations staring back at you.

And then the real question hits: Who's actually going to fix all of this?

Prowler is an incredible open-source tool. We use it ourselves at Dedups.ai. It does exactly what it promises - scan your cloud infrastructure, identify what's wrong, and hand you a detailed report. But here's the uncomfortable truth most security teams discover: finding misconfigurations was never the hard part. Fixing them safely, without breaking production, is.

That's the gap Dedups.ai was built to fill.

The Chasm Between "Found" and "Fixed"

Let's talk honestly about what actually happens after a Prowler scan in most SMB and startup security teams.

The security engineer (if you're lucky enough to have one) downloads the CSV. They start triaging findings. They Google remediation steps for the third time this month. They write a Jira ticket with detailed context. They schedule a call with DevOps.

DevOps pushes back - they're mid-sprint, and this wasn't in the roadmap. The ticket gets tagged "next sprint." Then "backlog." Then it quietly ages like fine wine nobody asked for.

Three weeks later, someone runs Prowler again. Same 847 findings. Maybe a few new ones for good measure.

This isn't a Prowler problem. It's a workflow problem.

Prowler gives you the diagnosis with surgical precision. But nobody handed your team the scalpel, the operating room, the anesthesia, or the post-op recovery plan.

How Dedups.ai Approaches Remediation Differently

We built Dedups.ai because we lived this exact pain ourselves across 10 years of managing cloud infrastructure. The gap wasn't in detection tools - the market has plenty of those. The gap was in safe, accountable, team-friendly remediation that actually happens.

Here's what that looks like in practice:

1. Prowler Applies Fixes Account-Wide. We Don't.

This is the fundamental difference that changes everything.

When Prowler (or most automated remediation scripts) applies a security group fix, it applies it across your entire AWS account. In a textbook lab environment, that's perfectly fine. In the real world, where your infrastructure has years of accumulated context? That's a production outage waiting to happen.

That security group rule flagged as "misconfigured" according to AWS best practices? It might be the exact rule keeping your legacy payment gateway accessible to your PCI compliance scanner. Blanket account-wide fixes don't understand your context. They can't.

Dedups.ai remediates at the single-resource level. One specific security group. One particular S3 bucket. One individual IAM role. You see exactly what changes, on exactly which resource, before anything touches production.

No surprises. No guesswork. No blast radius you didn't explicitly approve.

2. Dry Runs Before Anything Touches Production

Every single remediation in Dedups.ai starts as a dry run. Always.

You see the before-and-after diff. You see the exact blast radius. You see what resources depend on this configuration. You see what could break if this goes sideways.

No surprises. No 2 AM pages because a "critical security fix" accidentally killed your API gateway. No explaining to your CEO why the checkout flow is down.

You review. You approve. Then - and only then - it runs.

3. Schedule Fixes on Your Terms, Not the Scanner's

Your team has change windows. Maintenance schedules. Sprint cycles. Release freezes. We respect that.

With Dedups.ai, you schedule remediations for your comfortable maintenance window - not whenever the automated scan happened to run. Fix that exposed S3 bucket Tuesday at 2 AM during your approved change window, not Friday at 4:47 PM when everyone's mentally checked out for the weekend.

Your infrastructure. Your timeline. Your risk tolerance.

4. Compliance Evidence, Collected Automatically

Here's something Prowler doesn't do (and wasn't designed to do): every remediation in Dedups.ai automatically generates a timestamped, immutable evidence trail.

Before state. After state. Who approved it. Who executed it. When it ran. What changed. What the expected outcome was versus what actually happened.

That evidence maps directly to compliance framework controls for ISO 27001, SOC 2, PCI-DSS, and HIPAA. When your auditor asks "show me how you identified and remediated this control failure," you don't frantically search through six months of Slack threads and JIRA comments.

You pull the evidence report. Two clicks. Done.

5. Your Team Stays in the Loop - Automatically

Every remediation triggers smart notifications wherever your team already works: Email, Slack, Jira, or Microsoft Teams. No context switching. No "hey did that fix go through?" messages cluttering your channels.

The security engineer gets the initial finding with risk context. The DevOps lead gets the dry-run preview with infrastructure impact analysis. The team lead gets the completion confirmation with compliance evidence attached.

Everyone knows what happened, why it happened, and what the outcome was - without a single status meeting.

AI-Powered Scrum Master: From Alerts to Action

This is where Dedups.ai fundamentally diverges from any open-source scanner on the market.

Dedups.ai includes an AI-powered Scrum Master that transforms raw security findings into actionable, prioritized work items. It doesn't just create tickets and dump them in your backlog. It:

• Prioritizes findings based on actual business risk (not just CVSS scores)
• Groups related misconfigurations that should be fixed together
• Suggests optimal remediation order to minimize risk and rework
• Routes tickets to the right team member based on skillset and workload
• Identifies dependencies between fixes that could cause conflicts
• Estimates effort based on historical remediation data

Think of it this way: Prowler gives your team a grocery list of 847 items. Our AI Scrum Master gives your team a meal plan, recipes, and the optimal cooking order.

The goal is deceptively simple - empower your security team to go deeper and fix misconfigurations before your next standup. Not next quarter. Not "when we find time." Before the next scrum meeting.

Because if security work doesn't fit into sprint planning, it doesn't happen. We've all lived that reality.

Dedups.ai vs. Prowler: A Side-by-Side Look

This Isn't Prowler vs. Dedups. It's Prowler + Dedups.

Let me be absolutely clear: we're not here to replace Prowler.

Prowler is a phenomenal tool and it belongs in every AWS security toolchain. The Prowler team has built something genuinely valuable for the security community, and we use it ourselves.

But if your team is stuck in the exhausting cycle of scan → report → triage → argue → postpone → ignore → repeat, something needs to change downstream of detection.

Detection without safe, scheduled, evidence-based remediation is just a more sophisticated way of knowing you're exposed. It's security theater with better tooling.

Dedups.ai closes that loop. We turn Prowler findings (and findings from other scanners) into safely executed fixes with full audit trails and zero production surprises.

We're in Beta - and We Want to Build This With You

We're currently in private beta, and we're being very intentional about how we're running it.

We're not building Dedups.ai in a vacuum based on what we think teams need. We're building it in partnership with security and DevOps teams who live these problems every day.

If your team is dealing with:

• Hundreds (or thousands) of security alerts you can't realistically remediate
• Remediation scripts that feel too risky to run against production infrastructure
• Compliance audits where collecting evidence feels like archaeological excavation
• Security findings that sit in Jira for 6+ months because nobody owns them
• Constant tension between "move fast" and "stay secure"
• Security tools that require a dedicated team just to operate

We want to hear from you.

We're actively looking for design partners - teams who want to shape what safe, intelligent, sprint-friendly cloud remediation actually looks like. Teams who have strong opinions about what's broken and clear ideas about what better would look like.

If you have war stories, pain points, or a workflow that's held together with duct tape and hope - let's talk. We'll show you what we're building, you tell us what we're missing, and we'll build the remediation platform you'd actually want to use.

Ready to Move Past "Now What?"

The next time Prowler finds 847 misconfigurations in your AWS account, you'll have an answer better than "I'll add them to the backlog."

You'll have a plan. A timeline. A safe execution path. And evidence that it actually happened.

Join the Dedups.ai beta program →

Abh is the founder of Dedups.ai, building AI-powered cloud security remediation for teams that can't afford to ignore misconfigurations but also can't afford production outages from fixing them. Previously, he spent 10 years managing cloud infrastructure at scale and built Dedups.ai to solve the remediation gap he experienced firsthand.

Connect on LinkedIn or visit dedups.ai to join our beta program and help shape the future of safe cloud remediation.