Challenges we solve
Lack of visibility into emerging AI risks · Ambiguous roles and responsibilities · Reputational risk from unethical or opaque use · Difficulty justifying decisions to the board or regulators
AI Governance, Risk & Compliance
Scale with AI without losing control, reputation or compliance
Five modular service lines to get ahead of regulation, mitigate risk and turn AI into a competitive advantage.
Why now
The new AI paradox
Artificial intelligence is redefining processes, business models and customer relationships. Leaders face a new tension: how to scale with AI without losing control, reputation or compliance.
Our AI Governance, Risk & Compliance portfolio was created to resolve that tension. It is designed for leadership teams that want to get ahead of regulation, mitigate reputational risk and turn AI into a competitive advantage, with five integrated, modular lines that adapt to each industry.
Five integrated lines
Governance, risk and compliance for your AI
- 1AI governance and oversight
- 2AI risk management and security
- 3Regulatory compliance and frameworks
- 4Data protection and privacy in AI
- 5Transparency, performance and fairness
Line 01
AI governance and oversight
Establish control, ethics and accountability structures for the responsible use of AI.
Practices
Accountability map and CTSO, CISO and DPO structures · Ethical frameworks and internal policies tailored to your industry · Governance controls across the entire AI lifecycle · Internal audit and continuous improvement
Deliverables
AI governance manual · Roles and responsibilities matrix · AI ethics policy · Internal audit report · Executive training plan
Why Cloud Legion: we design governance frameworks with clear roles, accountability and traceability, so your organization can scale AI without losing control or reputation.
Line 02
AI risk management and security
Mitigate the operational, ethical and technical risks of using AI.
Challenges we solve
Manipulable or insecure models · No AI-specific controls · Uncertainty about the operational impact of a failure · Pressure to demonstrate robustness to stakeholders
Practices
Impact and risk assessments (AIRA) · Technical validation of models and data · Threat intelligence · AI-specific controls based on OWASP GenAI and NIST AI RMF
Deliverables
AI risk assessment report · Mitigation and resilience plan · Technical controls matrix · Security monitoring dashboard · AI incident response playbook
Why Cloud Legion: we build in AI-specific security practices that anticipate vulnerabilities and ensure operational resilience.
Line 03
Regulatory compliance and frameworks
Ensure conformity with international standards and emerging laws.
Challenges we solve
Regulatory uncertainty (EU AI Act and others) · Risk of penalties or lost contracts · Multiple frameworks that are hard to combine into one strategy · Little visibility into regulatory deadlines
Practices
Compliance and gap assessment · Regulatory transition roadmaps · Industry-specific integrated frameworks · Documentation readiness for audit and certification
Deliverables
Gap and compliance report · Regulatory roadmap with critical deadlines · Integrated ISO/NIST framework · Audit documentation kit · Certification strategy
Why Cloud Legion: we translate complex frameworks such as ISO/IEC 42001 and the EU AI Act into operational strategies ready for audit and certification.
Line 04
Data protection and privacy in AI
Safeguard the privacy and security of the data used by AI systems.
Challenges we solve
Non-compliance from using sensitive data · No traceability of how AI uses data · Pressure to demonstrate compliance to customers and regulators · PIAs and controls that are hard to apply in dynamic environments
Practices
Privacy impact assessments (PIA) · Data anonymization and minimization · Data governance controls · Integration with solutions such as Prisma AIRS
Deliverables
PIA report for AI systems · Data governance policy · Privacy controls matrix · Anonymization strategy · Privacy compliance dashboard
Why Cloud Legion: we design AI-specific privacy controls aligned with GDPR, LGPD and other regulations.
Line 05
Transparency, performance and fairness
Ensure AI systems are explainable, fair and efficient.
Challenges we solve
Lack of explainability for customers, regulators or the board · Undetected algorithmic bias · Difficulty measuring AI's real performance · Pressure to demonstrate fairness and transparency
Practices
Technical documentation and model explainability · KPI and performance monitoring · Fairness and bias validation · Executive dashboards
Deliverables
AI explainability report · KPI and performance dashboard · Bias and fairness analysis · Algorithmic transparency manual · Executive tracking dashboard
Why Cloud Legion: we implement explainability, KPI monitoring and bias analysis so leadership can justify every decision.
AI leaders
First Argentine company certified in ISO 42001
The first consultancy in Latin America to sign the CSA AI Trustworthy Pledge, and the region's first success story in ISO 42001 readiness and certification.
FAQ
What clients ask us most
What is AI GRC?
Governance, risk management and compliance applied to artificial intelligence: it defines who decides about AI, how its risks are controlled and how regulations are met.
What does the service include?
Five modular lines: AI governance and oversight; risk management and security; regulatory compliance and frameworks; data protection and privacy; and transparency, performance and fairness.
Which frameworks do you work with?
ISO/IEC 42001 and the NIST AI RMF, among others, aligned with regulations such as the EU AI Act.
Govern your AI before it becomes a risk
Let's build together the governance, risk and compliance framework your AI needs.