AI visibility and risk
- AI inventory and shadow AI discovery
- Risk assessment across models, vendors, and data
- Integration with enterprise risk management
- AI vendor risk management
Key areas of AI trust and governance
We connect governance, technology, risk, and organisational change to help clients build the organisational capabilities needed to use AI securely, resiliently, and with greater control.
AI governance
- Risk management processes, data governance, and transparency
- Roles, responsibilities, and accountability
- Policies, standards, and practical guardrails
AI security
- AI security strategy and risk management
- Model, data, and infrastructure security
- Threat modelling and security by design
AI assurance
- Control design and testing
- Monitoring and oversight models
- Compliance, assurance, and trust
AI operating models
- Cross-functional operating model design
- Governance embedded in AI delivery
- Security and resilience embedded as AI capabilities scale across the organisation
Responsible AI adoption
- Secure and resilient use of AI as part of organisational capability building
- Making AI safe and practical to use in everyday work
- Governance translated into everyday practice
Build the capabilities for responsible and secure AI
Explore relevant training through the Implement Digital Academy to help leaders and employees use AI securely, responsibly, and with greater confidence.
Explore relevant training
Insights shaping
AI trust and governance 0 2
Video
AI transformation: From risk to value
This session explores how leaders can turn AI from a perceived risk into sustainable business impact.Video
Mythos and the new threat reality
What current models can and cannot do, and what organisations must prioritise to stay resilient as capabilities evolve.Reach out to our AI trust and governance experts0 5
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