Security teams managing large-scale AWS environments often rely on tools like Prowler for continuous configuration assessments. But identifying misconfigurations is only part of the equation. The real challenge begins post-scan: validating critical issues, assigning accountability, and resolving them at speed.
Strobes bridges this operational gap by integrating asset discovery from Prowler with automated ticket creation in Jira and Azure Boards, forming a seamless, traceable remediation pipeline.
This integration isn’t just a connector, it’s a purpose-built system that transforms AWS security observations into actionable engineering tasks without losing control or visibility.
What Is Prowler?
Prowler is an open-source tool widely adopted for auditing AWS accounts against security best practices and compliance benchmarks (such as CIS AWS Foundations, GDPR, HIPAA, PCI-DSS, and more). It assesses identity management, logging configurations, S3 bucket policies, networking rules, and service-specific security controls.
What Prowler Delivers
- Insight into publicly exposed S3 buckets and RDS snapshots
- IAM misconfigurations, such as users without MFA
- Open security groups exposing ports to the internet
- Unencrypted EBS volumes
- Root account usage tracking
Despite its depth, Prowler only identifies issues. It does not provide in-built ticketing, prioritization, or stakeholder mapping. Without a downstream integration, it risks becoming another unused JSON report in a storage bucket.
What do strobes Add?
Strobes operationalizes AWS security findings by ingesting Prowler output, assessing risk through real-world context, and auto-generating structured remediation tasks in Jira or Azure Boards. The goal: eliminate manual triage and ensure high-risk issues don’t get lost in translation between Security and DevOps.
Strobes Adds:
- Asset-contextual risk scoring
- Integration with engineering workflows
- SLA assignment and enforcement
- Audit-ready remediation tracking
- Role-based dashboards for both tech and business teams
Purpose of This Integration
This setup is built for teams that:
- Run scheduled or automated Prowler assessments
- Need faster turnaround on high-severity misconfigurations
- Lack of bandwidth for manual triage of every finding
- Require remediation audit trails tied to compliance or internal security KPIs
With the Strobes–Prowler integration, findings can be translated into Jira or Azure Board tickets in near real-time, without relying on spreadsheets or Slack follow-ups.
What the Integration Enables
1. Ingesting and Normalizing Prowler Output
Once configured, Prowler scan results (JSON format) are imported into Strobes using connectors or agents.
Key attributes extracted include:
- AWS account ID, region, and service name
- Prowler control ID (e.g., check11 for S3 bucket ACL)
- Severity level (INFO to CRITICAL)
- Title, remediation suggestions, timestamp
This raw data is then mapped into Strobes’ structured asset-risk model. Multiple findings tied to the same asset or misconfiguration are auto-deduplicated.
2. Correlation and De-duplication
In real-world environments, the same misconfiguration might be:
- Detected across multiple AWS regions
- Flagged in multiple scans
- Linked to multiple accounts or teams
Strobes identifies overlapping findings and collapses them into a single actionable task, reducing noise and preventing duplication of engineering effort.
3. Prioritization Using Context
Strobes do not treat all misconfigurations equally. It evaluates:
- Exposure: Is the affected resource public-facing?
- Business Impact: Is it part of the production infrastructure?
- Sensitivity: Tagged as financial data? Regulatory workload?
- Threat Intelligence: Has this configuration been linked to recent breaches?
Only misconfigurations with real-world impact surface at the top of remediation queues.
Automating Remediation with Jira or Azure Boards
Once risk scoring is complete, predefined conditions trigger ticket creation. For example:
- A public S3 bucket in a production environment = Critical Jira bug
- An unused IAM key older than 90 days = Medium priority Azure task
Each Ticket Includes:
- Asset name, account ID, and region
- Prowler finding ID and severity
- Remediation steps
- Assigned team based on asset metadata
- SLA clock based on internal policy
Tickets stay updated automatically. When a misconfiguration is resolved and verified via re-scan, the associated ticket is closed by the system, not manually.
Reporting and Visibility
No security effort is complete without visibility. Strobes provides dashboards that answer operational, compliance, and strategic questions:
| View | Insight |
| Asset Exposure View | Track how many AWS assets are misconfigured across accounts |
| SLA Performance | Monitor how quickly teams are resolving flagged issues |
| Compliance Mapping | Show alignment with CIS, GDPR, ISO 27001, PCI DSS |
| Ownership Reports | Map findings to specific engineering teams |
Dashboards are filterable by business unit, account, AWS region, or risk category.
Why Azure Boards Jira Integration with Strobes Matters
1. Reduces False Positives and Redundancies
Without Strobes, Prowler output tends to be repetitive, especially across daily scans. Strobes deduplicates and correlates across accounts and environments to present only net-new or unresolved findings.
2. Introduces Real-Time Accountability
Instead of sending scanned PDFs to engineering leads, Strobes pushes clean tickets into the tools engineers already use. Each misconfiguration is tied to a responsible party, with automated reminders and escalation on SLA breach.
3. Adapts to Enterprise Scale
Whether managing 50 AWS accounts or 5,000 EC2 instances, the system scales. Large enterprises use Azure Boards Jira Integration with Strobes to route findings based on naming conventions, tags, and organizational structure.
4. Closes the Loop on Remediation
Every scan result either leads to action or is logged as resolved with proof. No finding is left in limbo, and no team is left guessing status.
Summary Table
| Challenge | How the Integration Solves It |
| Too many misconfigurations | Deduplication, prioritization using risk scoring |
| Siloed communication | Auto-ticketing in Jira/Azure based on asset ownership |
| Manual triage process | Rules-based automation with predefined triggers |
| No audit trail | Linked findings, tickets, and resolution timestamps |
| Engineering pushback | Clear, scoped, contextual tickets in existing workflows |
Final Thoughts
Security doesn’t end with detection. It begins there. By combining AWS assessments from Prowler with Strobes’ automation engine and integration into Jira/Azure Boards, organizations can significantly reduce exposure windows, streamline remediation, and demonstrate measurable progress.
Azure Boards Jira Integration with Strobes helps security teams stop chasing findings and start resolving real misconfigurations that pose actual risk.
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