Industry: Financial Services
Service: Professional Services
Location: Americas
Organization Type: Private
Employees: 51-200
Needs And Requirements:
The organization sought to establish a structured approach to govern the adoption and use of Artificial Intelligence across its operations. With AI becoming a key enabler of business transformation, the client required a governance framework and policy aligned with its objectives, regulatory obligations, and risk management requirements.
The initiative aimed to ensure secure and ethical use of AI, protect critical data assets, maintain trust, and align internal practices with internationally recognized standards such as ISO 42001 and applicable regulatory frameworks.
Main Challenges:
Emerging Risks from AI Adoption: The introduction of AI technologies created new cybersecurity, ethical, and operational risks that were not yet formally addressed.
Lack of Structured AI Governance: The organization did not have a defined framework to manage AI use cases, roles, responsibilities, and decision-making processes.
Regulatory and Compliance Uncertainty: Evolving regulations and standards made it difficult to ensure alignment and maintain compliance across AI initiatives.
Solution:
Governance, Risk & Compliance:
Hitachi Cyber developed an AI Governance Framework and AI Policy aligned with international standards such as ISO 42001 and relevant regulatory requirements. Through workshops, interviews, and control assessments, the team evaluated the organization’s current AI-related practices and identified key risks associated with AI implementation. The engagement included defining AI use cases, conducting high-level risk assessments, and establishing governance structures with clearly defined roles and responsibilities.
The framework incorporated guidelines for data governance, security, and ethical AI usage, ensuring fairness, transparency, and accountability in AI systems. Hitachi Cyber also introduced mechanisms for continuous risk monitoring and reassessment, along with considerations for incident response and data privacy in AI-driven environments. The resulting deliverables provided the organization with a structured, scalable foundation to govern AI adoption while supporting compliance, operational efficiency, and long-term cybersecurity maturity.
Outcomes:
The organization gained a clear and structured framework to govern its AI initiatives, enabling secure, ethical, and compliant adoption of emerging technologies. The implementation of the AI Governance Framework and Policy enhanced visibility into AI-related risks, clarified roles and responsibilities, and established consistent decision-making processes. This allowed the client to align its AI strategy with business objectives while strengthening data protection, regulatory compliance, and confidence.
Next Steps:
The organization plans to operationalize the AI Governance Framework, expand its application across additional AI use cases, and continuously refine policies and controls to adapt to evolving regulatory requirements and technological advancements.
