Advanced in AI Risk

QAAAIR-QA
Cena na vyžádání

This expert led course equips professionals with the specialist knowledge and practical skills needed to identify, assess and manage risks associated with artificial intelligence within modern organisations. As AI adoption accelerates, so too does the complexity of governance, compliance and operational risk. This course enables learners to confidently navigate these challenges.Over two days, we explore how AI risk integrates into enterprise risk management frameworks, how to assess vulnerabilities across the AI lifecycle, and how to implement effective controls. Learners will develop a comprehensive understanding of AI technologies, associated threats, and the regulatory and ethical considerations that shape their use.The course also prepares learners for the ISACA Advanced in AI Risk (AAIR) certification. The exam voucher is included and can be scheduled directly with ISACA after course completion.

Evaluate risks associated with AI models and solutions, including design, algorithms, training, drift and lifecycle considerations
Integrate AI risk management into enterprise risk management frameworks and programmes
Develop and implement an AI risk management framework, including roles, responsibilities and risk tolerance
Conduct structured risk assessments to identify and classify AI-related risks
Recommend and justify appropriate risk treatment strategies
Assess compliance with AI-related regulations, standards and legal requirements
Embed AI risk considerations into governance structures, risk registers and control frameworks
Evaluate AI use cases against organisational risk appetite
Monitor and test processes to identify emerging AI risks
Collaborate across functions to embed AI risk awareness and training
Develop AI risk metrics and reporting for operational and executive audiences
Conduct threat and vulnerability assessments on AI initiatives
Integrate AI risk into incident management, business continuity and disaster recovery planning
Continuously monitor the evolving AI risk landscape
Evaluate and validate controls to ensure risks remain within acceptable tolerance
Advise on AI-related contractual risks, including data usage and intellectual property
Assess AI risk within supply chains and third-party relationships
Address ethical, societal and ESG implications including bias, privacy and safety
Leverage AI capabilities to enhance risk management processes
Integrate AI risk considerations into change management processes
Evaluate human oversight controls at critical decision points

Advanced in AI Risk

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