AI Governance and Security
AI governance provides a framework for overseeing and managing AI initiatives responsibly, ensuring ethical, transparent and goal-aligned use of AI.
Key focus
Establishing a framework for responsible, secure and compliant AI development and use.
It involves establishing a clear governance structure with roles and responsibilities for AI development and deployment, incorporating Risk Management principles to identify and mitigate potential risks.
Robust security policies are developed and enforced to protect AI systems and data from unauthorised access and breaches. This includes measures like encryption, access controls and intrusion detection systems.
Regular monitoring and auditing of AI systems, essential components of Monitoring and Evaluation, ensure compliance with governance and security policies. Additionally, a clear incident response plan is essential to respond to and recover from any AI-related security incidents that may occur.
Checklist
Five things to get right.
- 01Establish a clear AI governance framework with defined roles and responsibilities
- 02Conduct regular risk assessments to identify and mitigate potential AI risks
- 03Develop and enforce strong security policies to protect AI systems and data
- 04Regularly monitor and audit AI systems to ensure compliance
- 05Have a clear incident response plan for AI-related security incidents
Maturity
What elevates it, and what diminishes it.
Elevates your maturity
- Cross-functional collaboration
- Independent oversight
- Proactive security
- Regular training
- Transparency
Diminishes your maturity
- Lack of governance
- Weak security
- Reactive approach
- Insufficient training
- Lack of transparency
How mature is your AI Governance and Security?
We help you assess where your organisation stands in AI Governance and Security and the other 13 areas, and what to strengthen next for sustainable, measurable results.