How a Streaming Giant Automated PCI-DSS and GRC Workflows:
Across Ephemeral Infrastructure, in a Slack-First Environment, Without Slowing Engineers Down

Case Study Fast Facts – Compliance Automation and GRC Integration Overview

Key Outcomes and Integrations: Compliance Automation with Slack, Kubernetes, and LogicGate

Executive Summary

A Fortune 100 global leader in streaming media faced a familiar challenge for engineering-centric organizations: how to scale compliance without slowing down the business and business innovation.

The company operates in a cloud-native environment with 100s of 1000s of ephemeral systems spinning up and down daily, a level of dynamism that renders traditional compliance processes ineffective.

The company needed a secure and scalable way to replace its manual security GRC processes.

ComplianceCow enabled this company to modernize compliance without disrupting developer workflows. Through Slack integration, API-driven automation, and middleware flexibility, ComplianceCow’s Security GRC Automation Studio helped the compliance team:

• Reduce manual overhead
• Reduce audit fatigue on key PCI-DSS controls
• Accelerate vendor risk processes
• Prepare for future expansion into broader controls automation and strategy
• Maintain alignment with the customer’s engineering culture
• Integrate with their existing GRC platform, Logicgate, and other technology like AWS Config Rules and AWS Audit Manager, Qualys and Aqua, Okta and Intune, Jira, and Semgrep rules
• Enable on-prem Kubernetes deployment

This organization’s success depends on its ability to innovate rapidly. Nearly every component of its infrastructure and applications is custom-built and deployed in a high-scale, ephemeral environment. While this architecture enables resiliency, it creates significant hurdles for compliance:

• Manual assessments, such as Business Continuity, were inefficient, requiring responses through Google Forms, coordinating with several teams and manual uploading into LogicGate, a GRC Platform.
• Engagement with control owners was limited, as engineers resisted logging into traditional GRC tools, preferring Slack as their primary collaboration platform.
• Operating at scale created friction with compliance workflows struggling to keep pace with systems spinning up and down thousands of times per day
• Integrating with security tools was difficult, as the GRC teams lack engineering skills to design, build, deploy and operate automation at scale

The result was mounting operational inertia. Manual processes slowed vendor risk reviews, and compliance teams lacked tools that could operate at the same speed and scale as the engineering organization

The company selected ComplianceCow for its ability to integrate compliance into existing workflows and deliver the flexibility required in such a dynamic environment. The decision was driven by three key factors:

• Slack-first engagement: Compliance tasks delivered directly in Slack aligned perfectly with the company’s engineering culture and building a seamless alignment between the GRC and control owners
• API-first architecture: Enabled rapid integration with LogicGate and other critical systems significantly reducing the cost of owners for continuous control management.
• Middleware capabilities: ComplianceCow operated as an orchestration layer for GRC rather than a collection of scripts, connecting security and compliance data across disparate systems, especially with hybrid cloud and on-premises architecture
• Alignment with Organization’s Generative AI strategy: ComplianceCow GenAI features such as parsing and anchoring new standards and requirements to Common Controls Framework and Creating Natural Language to SQL saves significant time in analysis and reporting.  Further, it allows the GRC team to participate in the Organization’s GenAI conversation and strategy.
• Dedicated support and agile deployment: ComplianceCow’s customer first attitude and engagement, extends the organization’s GRC engineering skills through a Build-Operate-Transfer (BOT) model, with dedicated account management. Short sprints delivered outcomes faster

Equally important, ComplianceCow demonstrated the ability to deliver new features quickly, meeting the organization’s need for agility and innovation.

The relationship started at a company-wide hackathon. ComplianceCow partnered with the GRC team to prototype a Slack-based compliance workflow, proving that compliance tasks could be executed without engineers leaving their preferred environment. The team won the hackathon, creating immediate credibility and accelerating internal support for a formal rollout.

Previously, the GRC team sent questionnaires via Google Forms, then manually copied responses into their GRC platform, LogicGate, a process that was slow, error-prone, and unpopular with stakeholders.

ComplianceCow introduced its Forms feature, designed specifically to solve this pain point. Forms support:

• Conditional logic for dynamic questionnaires
• Deadline and status tracking
• Evidence attachment support

Responses were automatically parsed and uploaded to LogicGate through an API integration, eliminating duplicate manual work.

ComplianceCow enabled integrations across key security and operations tools such as:

• AWS Config Rules and AWS Audit Manager for continuous evidence collection leveraging investments already made with AWS security.
• Qualys and Aqua for vulnerability scanning of both internal and external assets
• Reclassifying CVSS and enriching with Exploit Prediction Scoring System for the GRC and assurance team to improve vulnerability signals
• Okta and Intune for identity and device posture data
• Jira for interim evidence workflows before LogicGate API enhancements

ComplianceCow integrated with Asset Management to automatically segment evidence for PCI-DSS controls based on key application profiles. These evidence files were then scored, allowing customers to track performance of each application profile. Further, control assignments in ComplianceCow were actively audited for change of personnel, and flagged to administrators for timely correction.

With the foundation in place, the team began pushing automation into new territory: validating application-layer controls, coordinating across security tools, and bringing ComplianceCow into their own infrastructure. In this phase the team sought to establish a repeatable, scalable way to manage controls across environments, and making compliance a system the business could rely on.

Validating PCI-DSS 4.0 controls for web-facing applications meant moving beyond back-office workflows into real, user-facing transactions. Using Chrome’s built-in RECORD function, ComplianceCow developed an automated REPLAY tool that let the customer execute headless web transactions on demand to audit PCI-DSS 4.0 controls across their public-facing payment flows. This included automated checks for security and privacy protections, integrated with Semgrep rules to support application-layer requirements.

As the partnership matured, the company began migrating ComplianceCow from SaaS to an on-prem Kubernetes deployment. This shift is unlocking integrations with sensitive internal applications and enabling the vision of ComplianceCow as a core middleware platform for continuous controls monitoring and compliance automation at scale.

The organization reports substantial qualitative improvements:

• Manual effort eliminated: Vendor risk assessments no longer require duplicative data entry from Google Forms to LogicGate.
• Improved engagement: Slack-based workflows reduced friction and increased compliance responsiveness.
• Agility and future readiness: On-prem deployment and API-first design position ComplianceCow as a foundational component for the company’s compliance automation strategy.
• Building customer GRC engineering team: ComplianceCow has trained customer GRC analysts and the GRC engineering team to build their own workflow and integration, bringing flexibility and openness and removing vendor lock-ins.

The company renewed its annual subscription at roughly the cost of “half an engineer.” This reflected both the economic advantage of automating previously manual, time-consuming processes and growing confidence in ComplianceCow’s ability to keep pace with evolving compliance needs.

ComplianceCow has been selected as the company-wide GRC Middleware and plays an important role in their ongoing Generative AI/LLM/MCP strategy.

These principles have proven effective for teams operating at scale, and they offer a practical starting point for others navigating similar GRC challenges.

• Meet users where they work. GRC is a cross-functional effort. Forcing UI adoption fails; embedding compliance in Slack accelerates engagement and results.


• Adopt a middleware mindset. A flexible platform that connects tools and normalizes workflows scales better than rigid GRC suites.


• Data and Evidence based decisions for Compliance and Risk. Eliminate human bias by using automated evidence for controls testing and scoring.


• Don’t boil the ocean. Prove value, then expand. Start with a single pain point (vendor risk), demonstrate ROI, and build momentum toward broader automation.


• Leverage your existing security investments for contextual Continuous Controls Management (not just “monitoring”). Use your existing security enforcement rules written in AWS Config and Semgrep for continuous compliance and risk management.

ComplianceCow helped this team move from scattered compliance tasks to a connected, engineer-aligned system for continuous controls monitoring.

While the details of every environment differ, the core challenge is the same: building trust in compliance without slowing the business down.

For this team, existing platforms like LogicGate handled documentation, but not real-time automation and custom controls. That’s where ComplianceCow fit in: orchestrating integrations, streamlining evidence collection, and embedding workflows across tools their teams already used.

If you’re working through similar constraints – limited automation across GRC platforms, cloud, Kubernetes, or custom systems – ComplianceCow is built to help you move faster with confidence.