‘Agentic AI’ is currently hailed as the next big thing to the digital transformation of work, life, and learning. Such systems tend to be based on the popular and successful, though quite diverse, GenAI and Large Language Models. Due to their reliance on other technologies, their automated communication and coordination, and in growing cases even delegated / autonomous actions, they bring their own set of new, pressing and peculiar risks and threats to security, identity management, privacy and data protection.

This course introduces and explores local and international Agentic AI specific risk assessment approaches, guidelines and frameworks through theoretical foundations, practical considerations, and risk-assessment demos. This equips the audience with a solid basis on the various evolving approaches to be able to customise a suitable approach for their organisation. This course brings clarity, context, and meaning to the growing and still consolidating field, from an engineering, factual point of view. This is critical for an audience in charge of governance, strategies, and decision making around Agentic AI, as technology-based risk management is ideally built upon a meaningful and realistic risk assessment that includes technological aspects.

This course complements our What to look out for when procuring an AI Solution - Legal and Technology Essentials course and our Deep Learning Essentials course. It requires a basic understanding of this fast-evolving technology, as provided in our course Agentic AI Primer.

Who should attend?

• AI professionals, Risk & Compliance Professionals Data Protection Officers (DPOs)
• Privacy / Software Engineers, Technical Staff, Developers, Data Analysts, Data Architects, and Project / Risk Managers
• Executives, Managers, and Staff involved in the management, procurement, development, test, or deployment of Agentic AI systems

Course Details

Course Details

• Risk Related Key Terminology for AI and Agentic AI
• Agentic AI Risk Assessment foundations  
  • Architecture (Agents versus Applications)
  • Risk, Issue, Problem Zone
  • Threat Modelling
• Details and Demo on Guidelines and References 
  • Agentic Risk & Capability Framework (ARC)
  • Cyber Security Agency of Singapore (CSA)’s Securing Agentic AI
  • Infocomm Media Development Authority (IMDA)’s Model AI Governance Framework for Agentic AI
  • Open Worldwide Application Security Project (OWASP) Top 10

Course Facilitator

Albert Pichlmaier  Senior Cybersecurity and Privacy Engineer Senior Learning Technology Designer, Drew Data Protection & Cybersecurity Academy