Industry: Retail Technology
Enterprise Cybersecurity Governance, Risk & Compliance (GRC) Transformation
As organizations accelerate digital transformation, cloud adoption, and AI implementation, cybersecurity risks continue to evolve. BaryTech helped the client establish a robust Governance, Risk & Compliance (GRC) framework to identify, assess, and mitigate cyber risks across projects, systems, cloud environments, AI initiatives, and third-party vendors.
By integrating secure-by-design principles, international security standards, AI governance best practices, and continuous risk monitoring, we enabled the client to strengthen its cybersecurity posture while supporting business growth and responsible AI adoption.

100%
Enterprise Visibility Across AI & Cyber Risks
30%
Faster Security Review & Compliance Cycles
100%
Regulatory & AI Governance Standards Met
Client Overview
The client is a large enterprise undergoing digital transformation with multiple business applications, cloud initiatives, AI-driven solutions, and third-party integrations. They required a structured cybersecurity and AI governance framework to improve risk visibility, strengthen compliance, and embed security throughout the project lifecycle.
- Industry: Retail Technology
- Project Location: Europe
- Company Size: 15,000+
- Project Status: Ongoing
Project Challenges
As technology environments expanded, the client needed a consistent approach to cybersecurity governance, AI governance, and risk management. Key challenges included:
Key pain points included:
- Limited visibility into enterprise cybersecurity and AI-related risks.
- Inconsistent risk assessment processes across projects.
- Security reviews occurring late in project lifecycles.
- Cloud migration and architecture security concerns.
- Third-party vendor security and compliance risks.
- Need for governance over emerging AI solutions and responsible AI usage.
- Stronger collaboration required between business and security teams.

BaryTech Solution
To address these complex challenges, BaryTech designed and implemented an enterprise-wide Governance, Risk, and Compliance (GRC) framework tailored for large-scale operations. By integrating international security standards with AI governance best practices, we established a proactive, secure-by-design posture across the client’s global digital ecosystem.
Enterprise Risk Assessment
Conducted cybersecurity and AI risk assessments aligned with ISO 27001, ISO 27005, and ISO/IEC 42001, identifying risks, documenting findings, and recommending mitigation strategies.
Secure-by-Design & Architecture Reviews
Integrated security into business and IT projects by reviewing applications, cloud environments, AI-enabled solutions, network architectures, and technical designs before deployment, ensuring both cybersecurity and responsible AI governance.
Security Assurance & Awareness
Coordinated penetration testing, supplier security assessments, AI governance awareness sessions, cybersecurity awareness programs, and collaborated with architecture, SOC, IT, and business teams to strengthen overall governance and compliance.
DevSecOps & Governance
Supported development teams with secure coding practices, CI/CD security, API security, OWASP recommendations, AI governance controls, and maintained the enterprise cybersecurity risk register with actionable remediation plans.
Tools & Technologies
Implementation
BaryTech established a standardized cybersecurity and AI governance framework, embedding security and responsible AI practices throughout the project lifecycle. Risk assessments, architecture reviews, cloud security validation, AI governance reviews, vendor assessments, and security awareness initiatives ensured continuous monitoring and proactive risk management.
Implementation included:
- Cybersecurity Risk Assessments: Identified, evaluated, and prioritized cybersecurity risks across applications, infrastructure, and business processes.
- AI Governance and AI Risk Assessments: Assessed AI systems for security, compliance, transparency, ethical use, and operational risks.
- Architecture and Cloud Security Reviews: Evaluated solution architectures and cloud environments to ensure secure, resilient, and compliant deployments.
- Risk Register Management: Maintained a centralized risk register to track identified risks, mitigation actions, ownership, and status.
- Vendor Security Assessments: Assessed third-party vendors to verify their cybersecurity posture, compliance, and supply chain security.
- Penetration Testing Coordination: Planned and coordinated penetration testing activities to identify vulnerabilities and validate security controls.
- Security and AI Governance Awareness Programs: Delivered training sessions to strengthen cybersecurity awareness and promote responsible AI adoption across teams.
- Data Protection and Encryption Reviews: Reviewed data protection measures and encryption controls to safeguard sensitive information and ensure compliance.
- KPI/KRI Reporting: Monitored and reported key security performance and risk indicators to support informed governance and decision-making.
Outcome

Improved enterprise risk visibility
Gained complete, real-time transparency across global cybersecurity and AI risk landscapes.

Stronger cloud, application, and AI security
Embedded end-to-end security directly into cloud architectures, APIs, and AI models.

Enhanced collaboration across business and IT
Bridged gaps between leadership, engineering, and security teams for faster alignment.

Standardized cybersecurity and AI governance
Established consistent, audit-ready governance frameworks across all business units and projects.

Reduced third-party security risks
Standardized vendor security assessments to minimize supply chain vulnerabilities.