Highlights
- A comprehensive understanding of agentic AI systems capabilities and the dual threat nature in those capabilities
- 2. Actionable insights for mitigating Agentic threats and enhancing the safety of agentic AI technologies (using open-source and public AI and agentic cybersecurity frameworks)
- 3. Practical experience in applying threat modeling techniques to complex AI-agent systems
Course Details
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Agentic AI Fundamentals
- Understand the security landscape of Agentic AI
- Explore the capabilities and risks of AI agents
- Understand the dual-use nature of agentic capabilities
- Examine agent autonomy and decision-making
Threat Modelling
- Learn practical AI threat modelling techniques
- Apply Rapid Threat Model Prototyping
- Model complex AI-agent architectures
- Identify potential attack paths and threat scenarios
- Analyse agent interactions and behaviours
Agentic AI Security
- Identify threats unique to autonomous AI systems
- Assess risks across agentic AI workflows
- Explore threats involving AI tools and integrations
- Evaluate security risks associated with agent autonomy
- Identify weaknesses across agentic systems
Threat Analysis & Risk
- Analyse emerging threats to AI agents
- Assess threats based on likelihood and impact
- Prioritise security risks and attack scenarios
- Evaluate potential consequences of agentic threats
- Develop actionable threat assessments
Security Frameworks
- Explore open-source AI security frameworks
- Apply public agentic cybersecurity frameworks
- Use established security approaches for AI systems
- Connect threat models with security controls
- Apply frameworks to real-world AI scenarios
Threat Mitigation
- Develop practical threat mitigation strategies
- Design effective security controls
- Address identified vulnerabilities and attack paths
- Improve the safety and resilience of AI systems
- Translate threat findings into security actions
Practical Application
- Apply threat modelling to real-world AI scenarios
- Gain hands-on experience with AI threat analysis
- Build and refine agentic AI threat models
- Practise Rapid Threat Model Prototyping
- Develop practical skills for securing AI agents
Who should attend
This course is ideal for professionals involved in AI development, cybersecurity, risk management, and AI governance, particularly those working with or responsible for Agentic AI systems.
- AI Security Professionals
- Cybersecurity Professionals
- Security Architects
- AI/ML Engineers
- Software Engineers
- AI Engineers
- DevSecOps Professionals
- Threat Modellers
- Penetration Testers
- Application Security Professionals
- Security Researchers
- Risk & Compliance Professionals
- AI Governance Professionals
- Security Architects and Consultants
- Technology & Security Leaders
- AI Product Managers
- Developers Building AI Agents
- Professionals Responsible for AI Safety and Security
Feedback
4.8 out of 5 average
"The topics (threat modelling frameworks, zones of trust, annotating your own diagrams, implementing security into Agile practices) were all well-chosen and appropriate." GL, Software Engineer, Threat Modelling, February 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022