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Insight

Establishing a Governance Framework for AI Risk Management

By Alliant Cyber / March 26, 2025

As organizations increasingly adopt Artificial Intelligence (AI) technologies, the need for a structured governance model becomes essential. AI presents significant opportunities for operational efficiency, innovation and competitive advantage. However, it also introduces complex risks that must be carefully managed. Developing a comprehensive AI governance model, policy and risk management approach can help organizations reduce significant risks, including security threats, regulatory penalties and reputational damage.

Key Areas of Focus
To ensure responsible AI adoption, organizations should address Risk, Governance and Compliance elements inherent in AI implementation. This includes:

  • Privacy and Data Protection – Safeguard sensitive information and ensure compliance with data privacy regulations.
  • Security – Mitigate cybersecurity threats and vulnerabilities within AI applications.
  • Bias and Fairness – Ensure AI-driven decisions are impartial and free from systemic biases.
  • Transparency and Accountability – Establish clear AI decision-making processes with traceable outcomes.
  • Safety and Resiliency – Enhance AI system reliability to prevent failures that could impact business operations.

By prioritizing these key areas, organizations can build a robust AI governance framework that aligns with industry best practices and regulatory requirements.

AI Cyber Risk & Governance – Alliant Cyber’s Approach
Alliant Cyber has created a workshop-based approach to facilitate the creation of an AI Cyber Risk & Governance framework, tailored to each client’s needs and objectives. The accelerated workshop approach assists clients in identifying and prioritizing key objectives for AI adoption, identifying critical risks and developing a high-level model and draft policy for AI risk governance and risk management.

Key Points of Focus – AI Cyber Risk & Governance

  1. Assess Current AI Landscape
  2. Define AI Use Cases & Objectives
  3. Identify Security, Risk and Compliance Challenges
  4. Review Existing Policies & Controls
  5. Facilitate Interactive Risk Walkthroughs
  6. Enhance AI Risk Governance & Reporting
  7. Define Tactical & Strategic AI Governance Roadmap

AI governance is a necessity for organizations looking to harness the power of AI while mitigating risks. Through the AI Cyber Risk & Governance Workshop, Alliant Cyber guides organizations through developing a high-level AI governance model and draft risk management policy, setting the foundation for secure, compliant and ethical AI adoption.

For more information on how Alliant Cyber can assist with AI governance, risk management and compliance, please reach out to our team of specialists.

Alliant note and disclaimer: This document is designed to provide general information and guidance. Please note that prior to implementation your legal counsel should review all details or policy information. Alliant Insurance Services does not provide legal advice or legal opinions. If a legal opinion is needed, please seek the services of your own legal advisor or ask Alliant Insurance Services for a referral. This document is provided on an “as is” basis without any warranty of any kind. Alliant Insurance Services disclaims any liability for any loss or damage from reliance on this document.