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Three AI risks your board may be missing and what to do about them

Author

Sam Haslam
October 28, 2025

Is your AI risk management lens too narrow?

While the benefits of AI may dominate strategic discussions within your business, conversations around AI risk management may be too narrow. Your board may prioritize data privacy and algorithmic bias concerns, which is entirely valid, but may not see the broader risks at stake, such as operational disruption, reputational damage or regulatory non-compliance.

Many leaders may simply equate AI with chatbots or assume that truly disruptive AI capabilities are years away. Generative AI has many dimensions, including audio, image, video, and reasoning models, already embedded in business-critical systems and delivering advanced decision-making and automation today. From fraud detection in financial services, to predictive maintenance in manufacturing, to personalized customer experiences in retail, AI is already reshaping how organizations operate.

If your governance framework doesn’t account for how AI behaves under stress or uncertainty, you may be missing key vulnerabilities.

What AI risk management areas could your board be missing?

Our experience suggests three AI risk management areas your board may need to carefully consider alongside the more well-known risks:

What are the first steps to stronger AI risk governance?

AI governance is a proactive discipline that challenges organizations to build resilience into their AI strategies at board level.

The first steps to support your board in strengthening its AI risk governance are to:

  1. Establish clear accountability – Define who is responsible for AI oversight at executive and operational levels.
  2. Map AI use cases and risks – Identify where AI is being used across the business and assess the associated risks, including ethical, operational and regulatory exposures.
  3. Integrate AI into existing governance frameworks – Embed AI risk into your broader risk, compliance and audit processes to ensure it’s not treated in isolation.

To explore how your organization can strengthen its AI governance and risk oversight, speak to our enterprise risk specialists.

Author

Sam Haslam -AI Risk Advisory Practice Lead

Sam Haslam

AI Risk Advisory Practice Lead

Contacts

Sean Scranton, CISSP, AIGP, CPCU, RPLU+, CISM Cyber Risk Consultant, CRB

Sean Scranton

CISSP, AIGP, CPCU, RPLU+, CISM
Cyber Risk Consultant, CRB

Jonathan Davies, C|CISO, CISSP, CCSP, AIGP, Cyber Risk Consultant, CRB

Jonathan Davies

C|CISO, CISSP, CCSP, AIGP
Cyber Risk Consultant, CRB

Jonathan is a business-enabling cybersecurity leader based in Las Vegas, Nevada, who helps global enterprises secure their digital future without slowing innovation. A trusted advisor to CEOs, boards and C-suite executives, he translates cyber risks into business-focused decisions, aligns security programs with regulatory and enterprise risk priorities, and drives proactive security cultures. With expertise in cybersecurity governance, cloud-first strategies, and AI risk management, he enables organizations to adopt emerging technologies safely and responsibly. His background includes a twenty-year military intelligence career, a bachelor’s degree in computer science, and certifications including C|CISO, CISSP, CCSP and AIGP.