DevSecOps Data Management

Mask, Virtualize, and Automate Data for AI and DevOps Pipelines

Slow Provisioning and DBA Bottlenecks

Development and testing teams wait days or weeks for refreshed environments as requests pile up in DBA queues, slowing delivery cycles, testing, and creating bottlenecks across CI/CD pipelines.

Security Reviews Delaying Releases

When security and compliance controls are applied late in the development lifecycle, release cycles slow down. Last-minute reviews, remediation efforts, and policy exceptions increase risk and delay deployments.

Error Prone Manual Data Masking Process

Manual masking is time-consuming, inconsistent, and difficult to scale across environments. Errors and omissions can expose sensitive data, increasing compliance risk and creating unnecessary operational overhead.

Lack of Production-Realistic Test Data

Development and testing teams often rely on incomplete, outdated, or overly sanitized datasets. Without production-realistic data, defects go undetected, test coverage suffers, and issues surface only after release.

Accelerate Secure Software Delivery with DevSecOps

As organizations accelerate software delivery through Agile and CI/CD practices, security can no longer remain a final-stage checkpoint. DevSecOps embeds security, compliance, testing, and governance throughout the SDLC, enabling faster, lower-risk software delivery.

Powered by Perforce Delphix, BlazeMeter, Perfecto, GenRocket, and antenna.dev , LevelShift helps organizations operationalize DevSecOps through secure test data delivery, continuous testing, synthetic data generation, and engineering intelligence to accelerate releases while strengthening security, compliance, and quality.

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Our DevSecOps services

Six integrated service areas that embed security, compliance, and testing directly into the delivery pipeline.

CI/CD test data automation

Test data delivery automated directly into pipeline stages, triggered by build and deployment events without manual requests or environment queues.

Test data provisioning triggered by pipeline events
Environment refresh automation on merge or deploy
Native integration with Jenkins, GitHub Actions, Azure DevOps

Data virtualization for development and testing

Lightweight virtual databases that provision in minutes, refresh on demand, and share underlying storage across multiple teams and environments.

Virtual database creation from production or golden copy
Rapid cloning across dozens of environments from one storage footprint
Developer self-service portal with role-based access

Secure data delivery in DevOps

Sensitive data protected across non-production environments through static, dynamic, and format-preserving masking with full audit trails.

Static masking applied once at the virtualization layer
Dynamic masking for runtime data access control
Role-based access and compliance audit trails

Continuous testing enablement

UI and regression testing automated across browsers, devices, and OS versions with AI-assisted scripts that adapt to application changes.

Cross-platform UI automation for web and mobile
AI-assisted self-healing scripts that adapt to UI changes
Intelligent defect triaging to prioritize failures

API and performance testing

Performance and API validation shifted left into development stages, running against realistic datasets before changes reach production.

Load and stress testing against realistic data sets
API validation for microservices and integration layers
AI-assisted test creation and scenario modeling

Engineering productivity optimization

Visibility into developer workflow patterns, test efficiency, and delivery bottlenecks through continuous engineering analytics.

Developer workflow telemetry and flow state analysis
Test efficiency and code quality metrics
Delivery bottleneck identification and reporting

Connect with our experts who integrate security, testing, and data into DevOps.

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Jonathan Wilcox

Director - Enterprise Architecture

Rajbir Singh

Program Manager - Perforce Delphix

The DevSecOps workflow

Security, compliance, and testing embedded at every stage, not bolted on at the end.

Source control

Git push or PR

CI/CD trigger

Jenkins / Actions

Data provisioning

Delphix virtual DB

Automated testing

Perfecto + BlazeMeter

Security validation

Masking + compliance

Release

Confident deployment

Customer Impact

Building a Secure, Cost-Efficient DevOps Data Platform

For the client, legacy data provisioning processes meant development and testing teams faced delays of days or weeks just to access environments, while sensitive PHI data needed safeguarding across every non-production system. By implementing Perforce Delphix's DevOps Data Platform, including automated data virtualization and masking, we built a secure, compliant, and cost-efficient foundation for application development, testing, and analytics.

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50% Faster Application Development

Accelerated project timelines by streamlining how teams access and work with test data.

10-Minute Environment Provisioning

Cut environment setup time from 2-3 days to just 10 minutes, removing a major bottleneck for development and testing teams.

95% Storage Savings

Reduced storage requirements from 4PB to just 200TB while maintaining secure, compliant access to data.

Why LevelShift

Expertise Across the DevSecOps Lifecycle

25+ years delivering enterprise-scale solutions across applications, integrations, and data platforms - with deep expertise in CI/CD security, data masking, and test data automation.

Certified, Skilled Delivery Teams

50+ Perforce Delphix-certified specialists, 150+ Microsoft experts, and DevSecOps engineers providing proven, hands-on expertise for complex CI/CD engagements.

Specialized, Focused DevOps and TDM CoE

A focused, expert-led team of 5-6 specialists in DevOps and Test Data Management, using accelerators and proven patterns to deliver faster, more secure pipelines.

Global Talent with Industry Focus

Distributed delivery model with domain depth in Manufacturing, FinTech, Technology, Retail, Healthcare, and Real Estate - aligned to regulatory and compliance needs.

Our Perspectives

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FAQs

DevSecOps integrates security, compliance, testing, and governance throughout the software development lifecycle rather than applying them only before release. This approach helps organizations identify risks earlier, reduce security vulnerabilities, accelerate delivery cycles, and improve software quality without slowing development.

DevSecOps automates security testing, compliance checks, and data provisioning within CI/CD pipelines. By eliminating manual reviews, approval bottlenecks, and environment delays, development teams can release software faster while maintaining security and governance standards.

Test data management provides development and testing teams with secure, compliant, production-realistic data when they need it. Automated provisioning, masking, virtualization, and synthetic data generation help teams test faster without exposing sensitive information.

DevSecOps embeds security and compliance controls directly into development workflows. Automated policy enforcement, data masking, access controls, audit trails, and continuous testing help organizations maintain compliance with regulations such as GDPR, HIPAA, PCI DSS, SOX, and CCPA.

AI and machine learning projects require large volumes of realistic data for model training and testing. DevSecOps practices help organizations deliver secure, compliant, production-realistic datasets while protecting sensitive information and maintaining governance standards.

Data masking replaces sensitive values in real production data with realistic but fictitious values while preserving referential integrity, so the dataset behaves like production without exposing PII or PHI. Data virtualization creates lightweight, shareable copies of data without physically duplicating storage, letting teams provision and refresh environments in minutes instead of days. Synthetic data generation builds entirely artificial datasets that mimic production's structure and statistics, useful for edge cases or scenarios that haven't occurred in real data yet. Most mature programs use all three depending on the testing scenario.

Successful DevSecOps programs typically follow several core practices:

Shift security left by integrating security early in development
Automate security testing within CI/CD pipelines
Use secure, compliant test data for development and testing
Continuously monitor applications and infrastructure
Embed compliance and governance controls throughout the SDLC
Foster collaboration between development, security, and operations teams

These practices help organizations improve security without slowing software delivery.

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