Customer Snapshot
| Attribute | Details |
|---|---|
| Industry | E-commerce / Consumer Tech |
| Cloud Environment | AWS (80–90%), GCP for AI workloads, and on-premises |
| Team Size | Enterprise-scale — hundreds of users, multiple databases |
| Databases | RDS, EC2-hosted SQL/PostgreSQL, MongoDB, Redis |
| Code & CI | Bitbucket, self-hosted GitLab, BuildPiper |
| Compliance | ISO 27001, SOC 2, GDPR |
| Prior Stack | Multiple siloed security and access tools |
| Cloudanix Scope | Code security, Cloud CSPM, JIT access, DAM |
The Situation: Secure, But Fragmented
When a leading e-commerce company’s Head of DevOps and SRE sat down to assess their security posture, the honest answer was: solid in places, fragmented everywhere. The organization ran a mature cloud environment, AWS-heavy at around 80 to 90 percent, with GCP handling AI workloads, and a portion of infrastructure still on-premises. Their databases spanned RDS, EC2-hosted SQL and PostgreSQL, MongoDB, and Redis. Their code lived across Bitbucket and a self-hosted GitLab instance, with BuildPiper as their CI layer.
They were not in a crisis. Their existing security tools were doing their jobs individually. But the team was spending significant time context-switching between platforms, manually correlating findings, and trying to build a coherent picture of their security posture across code, cloud, and identity, with no single place to see it all. Compliance obligations under ISO 27001, SOC 2, and GDPR added further pressure to tighten access governance and data handling controls.
The goal was not to rip and replace everything. It was to consolidate, to find a platform that could cover code security, cloud posture, JIT access, and database activity monitoring in one place, without losing the depth they already had in specific areas.
The Core Challenge
Multiple best-of-breed tools were creating visibility silos. The team had security data, but no unified context. Correlation between code risk, cloud misconfiguration, and identity exposure required manual effort, making it slow to prioritize and harder to report on.
What Fragmentation Actually Costs
Tool sprawl in cloud security is rarely visible as a single line item. Its cost shows up in slower response times, missed correlations, and compliance reporting that takes days instead of hours. For this organization, the fragmentation showed up in three specific areas.
1. No Quantitative Risk Signal from Code
Pull requests were reviewed manually for security issues, with no automated scoring or structured way to flag database schema changes, permission escalations, or API exposure risks before code was merged. The team wanted quantitative PR analysis, a risk score on every pull request that surfaced security-relevant changes, particularly around database and schema modifications, without requiring a security engineer to review every merge.
2. Zombie APIs and Unused Code Creating Silent Risk
In a fast-moving engineering organization, code accumulates. APIs get deprecated in practice but not in the codebase. Endpoints go unreferenced. Legacy code paths remain callable. The team had no systematic way to scan their repositories for zombie APIs, unreferenced endpoints that still exist in the codebase and could be exploited precisely because nobody is watching them.
3. Identity and Database Access Without Unified Oversight
JIT access for engineers was handled through a separate tool, and database access monitoring was either native or absent, depending on the database type. There was no single layer that could enforce time-bound access, monitor what happened during an access session, and apply policy-based data masking, especially for databases holding customer PII, which GDPR required to be handled with particular care. Non-human identities, CI/CD pipelines, automated processes, service accounts, had even less oversight than human ones.
The Cloudanix Solution: One Platform, Full Coverage
Cloudanix was introduced as a Cloud-Native Application Protection Platform (CNAPP) covering code, cloud, and identity, designed specifically to replace the fragmented tool stack that mid-to-large engineering organizations accumulate over time. The platform addressed each of the organization’s pain points directly.
Code Security with Quantitative PR Analysis
Cloudanix integrates with Bitbucket and GitLab to analyse every pull request for security risk, producing a quantitative score that surfaces database and schema changes, overly permissive API definitions, secret exposure, and other security-relevant patterns before code reaches production. For a team running a CI pipeline through BuildPiper, this means security analysis happens as a natural part of the development workflow, not as a separate gate that engineers have to context-switch into.
Zombie API detection is part of the same code scanning layer. Cloudanix scans repositories to identify unreferenced endpoints and unused code paths that represent latent attack surface, and flags them for remediation or removal.
Key Features:
- Automated PR risk scoring
- Database and schema change detection
- Secret exposure scanning
- Zombie API identification
- Seamless CI/CD integration (Bitbucket, GitLab, BuildPiper)
JIT Access Across Cloud and Database
Cloudanix’s JIT access capability provides time-bound, approval-gated elevation for both cloud resources and database access, replacing the need for separate PAM and database access tools. Engineers request access, an approvals route to the right stakeholders, and access is automatically revoked when the session ends. Every action during the session is logged.
Critically, Cloudanix extends this to non-human identities. CI/CD pipelines, Jenkins jobs, and automated processes are treated as workload identities with their own scoped, time-bound access, not as background noise that bypasses the access model. This was a specific capability the team had not found in their existing tooling.
On SSO: Cloudanix does not replace an existing SSO provider. It operates as an access layer after SSO authentication, enforcing secure, time-bound access to cloud resources and databases on top of whatever identity provider the organization already uses.
Key Features:
- Time-bound, approval-gated access
- Cloud resource and database coverage
- Non-human identity management (CI/CD, service accounts)
- Automatic session revocation
- Complete audit logging
- SSO integration layer
Database Activity Monitoring with Policy-Based Masking
Cloudanix’s Database Activity Monitoring (DAM) capability sits between the engineer or application and the database, providing a DB viewer and IDE for running queries, while applying policy-based controls on what data is visible and what commands are permitted.
For databases holding PII, data masking policies ensure that sensitive fields are obscured for users who do not have explicit access to view them, regardless of what they query.
PII auto-classification and anomaly detection, the ability to automatically identify which database columns contain sensitive data and alert when access patterns change — are on the Cloudanix roadmap and expected to be available within the coming months, extending the DAM capability from policy enforcement into proactive discovery.
Key Features:
- Integrated DB viewer and IDE
- Policy-based data masking
- PII protection for GDPR compliance
- Query-level access control
- Support for RDS, EC2-hosted SQL/PostgreSQL, MongoDB, Redis
- Upcoming: PII auto-classification and anomaly detection
Unified Cloud Posture Across AWS and GCP
Cloudanix operates as an independent CSPM layer, it does not require AWS Security Hub, Config, or Access Analyzer to be active. It connects directly to the organization’s AWS and GCP environments, captures CloudTrail events in real time, and surfaces misconfiguration findings, IAM risk, and least-privilege recommendations in a single dashboard.
For a newly created IAM role, Cloudanix immediately surfaces its permissions via CloudTrail — and like any accurate least-privilege recommendation engine, it uses observed usage data over time to make right-sizing recommendations with confidence.
Key Features:
- Independent CSPM layer (no AWS Security Hub required)
- Real-time CloudTrail event capture
- Multi-cloud support (AWS + GCP)
- IAM risk analysis
- Least-privilege recommendations
- Unified dashboard
Platform Impact: By the Numbers
1 Platform replacing multiple tools | AWS + GCP unified under one dashboard | Real-time CloudTrail event capture | 500+ Users supported at enterprise scale
Why Tool Consolidation Is a Security Decision, Not Just an Operational One
The conventional wisdom in enterprise security has long been ‘best of breed’, pick the best tool for each job, and integrate them. For many organizations, this made sense when the threat landscape was simpler and integration costs were low. In 2026, the calculus has changed.
When security tools are siloed, findings are siloed too. A code-level vulnerability, a cloud misconfiguration, and an over-privileged service account may each be visible in their respective tools, but the correlation between them, the attack path they collectively enable, is invisible unless someone manually connects the dots. That manual connection is where most security teams are spending time they do not have.
Consolidation onto a platform like Cloudanix is not about trading depth for convenience. It is about gaining context that siloed tools structurally cannot provide, and reducing the operational overhead that comes with managing, maintaining, and reporting across five or six separate platforms that were never designed to talk to each other.
For organizations under GDPR, ISO 27001, and SOC 2, there is an additional compliance benefit: a single platform means a single audit trail, a single reporting surface, and a single control framework to evidence, rather than stitching together outputs from multiple tools and hoping the auditor accepts the assembly.
The Outcome
The organization consolidated its code security scanning, cloud posture management, JIT access, and database activity monitoring into Cloudanix, replacing a fragmented stack of siloed tools with a single platform and a single dashboard across its AWS and GCP environments. Their Head of DevOps and SRE gained unified visibility across code risk, cloud misconfiguration, identity exposure, and database access, with compliance reporting for ISO 27001, SOC 2, and GDPR available from the same platform, without manual aggregation.
Key Results
✅ Unified Visibility: Single dashboard across code, cloud, identity, and database
✅ Reduced Tool Sprawl: Consolidated multiple point solutions into one platform
✅ Faster Incident Response: Eliminated manual correlation between security findings
✅ Simplified Compliance: Single audit trail for ISO 27001, SOC 2, and GDPR
✅ Non-Human Identity Oversight: CI/CD pipelines and service accounts under JIT control
✅ Automated PR Security: Quantitative risk scoring on every pull request
✅ GDPR-Ready Database Access: Policy-based PII masking and complete audit logging
See What Cloudanix Can Consolidate for Your Team
If your security stack looks like a collection of point solutions with no unified view, Cloudanix was built for exactly that problem. Book a demo to see the platform across code, cloud, identity, and database, in one dashboard.
Schedule a Demo to see how Cloudanix can consolidate your security stack.
Related Resources
- What is CNAPP - Cloud Native Application Protection Platform
- What is IAM JIT (Just-In-Time Access)?
- Database Activity Monitoring: Real-Time Data Security
- What is Code Security?
- The End of Permanent Access: Next-Generation JIT for Granular Database Security
- How to Implement JIT Access in AWS, Azure & GCP
- Top 10 CNAPP Tools in 2026: Complete Guide
- CSPM vs CNAPP: Navigating Cloud Security Evolution
