Foundation ready for AI and dvanced analytics
Structuring, securing,
and activating data and AI in critical environments.
In 2025, organizations must navigate NIS2, the AI Act, and digital sovereignty imperatives. TROY supports this transformation with method, pragmatism, and responsibility
Our three
intervention pillars
Data and AI create value only when they’re reliable, secure, and compliant. We make that happen.
Data Foundation
& Governance
Data only creates value when it’s reliable, accessible, and compliant. We help organizations structure their data estate to make it a strategic asset
Reliable data is the backbone of AI
Organizations face mounting pressure to:
- Comply with GDPR, NIS2, and sector-specific regulations
- Enable data-driven decision-making across business units
- Break down data silos and improve data quality
- Establish clear accountability for data assets
- Build trust with customers and regulators through transparency
Without proper governance, data becomes a liability rather than an asset.
Data Strategy
& Roadmap
Define data vision, priorities, and execution plan aligned with business objectives. Identify quick wins and long-term transformations.
Governance
Frameworks
Design and implement data governance operating models: roles (CDO, Data Owners, Stewards), policies, decision rights, and escalation paths.
Data Quality
Management
Establish data quality dimensions, metrics, and monitoring. Implement data quality rules and remediation processes.
Master Data
& Reference Data
Define golden records, implement MDM solutions, manage reference data across systems.
Data Cataloging
& Lineage
Deploy data catalogs with automated lineage tracking. Enable data discovery and impact analysis.
Compliance
& Privacy
Ensure GDPR, NIS2, and industry-specific compliance. Implement data classification, retention policies, and privacy by design.
Digital Integrity &
Data Security
In a context of escalating threats and strengthened regulatory requirements (NIS2, DORA), data security is no longer optional. We secure platforms, pipelines, and industrial environments
Trust is the foundation of digital systems
The threat landscape has evolved:
- Ransomware attacks targeting data platforms and cloud infrastructure
- NIS2 directive mandating cybersecurity for critical infrastructure
- DORA regulation requiring digital operational resilience for financial entities
- Convergence of IT/OT increasing attack surface in industrial environments
- Data breaches carrying massive reputational and financial costs
Security must be embedded in data architecture from the start, not bolted on afterward
Data & Cyber Risk
Assessment
Comprehensive evaluation of data infrastructure, pipelines, and access controls. Identify vulnerabilities and risk exposure.
Platform &
Pipeline Security
Secure data platforms (cloud, on-premise, hybrid): encryption, network segmentation, IAM, secrets management, audit logging.
Sensitive
Data Protection
Implement data loss prevention (DLP), tokenization, masking. Protect PII, trade secrets, and critical business data.
OT & Industrial
Environments
Secure convergence of IT/OT systems. Protect SCADA/ICS environments. Implement zero-trust for industrial networks.
NIS2 & DORA
Compliance
Achieve and maintain compliance with NIS2, DORA, SecNumCloud. Implement required controls and monitoring.
Incident Response
& Recovery
Design incident response plans. Implement backup and disaster recovery strategies. Conduct simulations and drills.
Responsible
AI Enablement
AI is not an end in itself. It must create business value, be explainable, auditable, and compliant. We help organizations deploy AI in a governed and responsible manner
AI must be trusted to create value
AI deployment faces new realities:
- EU AI Act requiring risk-based governance for AI systems
- Growing concerns about bias, fairness, and transparency
- Need for explainability in regulated industries (finance, healthcare, public sector)
- Shortage of AI talent capable of industrial deployment
- High failure rate of AI POCs that never reach production
AI without governance equals risk. TROY ensures AI under control
AI Maturity
Assessment
Evaluate current AI capabilities, data readiness, talent, and infrastructure. Identify gaps and opportunities.
Use Case
Prioritization
Define and prioritize AI use cases based on business value, technical feasibility, and risk. Build a pragmatic AI roadmap.
AI Governance
Framework
Implement AI governance: model cards, ethics review boards, bias testing, model monitoring, and documentation.
AI Act
Compliance
Classify AI systems by risk level (EU AI Act). Implement required controls for high-risk AI applications.
Value-Driven
POCs
Design and execute AI proof-of-concepts focused on measurable business outcomes. Rapid iteration and validation.
MLOps &
Industrialization
Deploy MLOps pipelines for model versioning, testing, deployment, and monitoring. Scale from POC to production.
How we
work with you
Ready to structure, secure, and leverage your data and AI?
Ready to structure, secure, and leverage your data and AI?