Course Overview
Agentic AI systems are moving from research environments into enterprise production at significant pace. Multi-agent architectures that autonomously conduct reconnaissance, draft communications, execute transactions, and call external APIs are already deployed across financial services, healthcare, and government. These systems introduce attack surfaces that did not exist three years ago: prompt injection attacks that hijack agent behaviour, tool poisoning in MCP and API-connected pipelines, and the possibility of AI agents becoming unwitting participants in multi-stage cyberattack chains.
Over three mentor-led days, participants assess the threat posed by autonomous AI agents conducting attacks, identify prompt injection and agent hijacking vulnerabilities across enterprise agentic deployments, design security controls for AI agent pipelines that maintain operational capability while preventing misuse, apply MLSecOps principles to secure AI systems from adversarial manipulation at scale, and build governance frameworks for responsible agentic AI deployment in security-critical environments.
The programme concludes with a security review capstone: participants assess a simulated agentic AI deployment, identify all attack surfaces, produce a hardening plan, and design a governance framework for safe operation. This course is aligned with MITRE ATLAS, EU AI Act high-risk system requirements, NCSC AI security guidance, and emerging agentic AI security standards from major AI safety bodies.
Hands-On Learning
Prompt injection attack exercises against simulated agentic deployments, tool poisoning scenario analysis, MCP security review practical, agent behaviour monitoring lab, and a full agentic AI deployment security review capstone.
Mentor-Led Sessions
Practitioner-led instruction on agentic AI attack anatomy, MLSecOps for agent pipelines, EU AI Act governance requirements, and instructor critique of every security design and governance framework produced.
Career-Ready Skills
Agentic AI attack surface assessment, prompt injection defence design, AI agent pipeline security architecture, MLSecOps for production AI, EU AI Act compliance, and agentic AI governance framework production.
Learning Outcomes
Assess the threat posed by autonomous AI agents conducting multi-stage cyberattacks without human direction.
Identify prompt injection and agent hijacking vulnerabilities in enterprise agentic AI deployments.
Design security controls for AI agent pipelines that maintain operational capability while preventing misuse.
Apply MLSecOps principles to secure agentic AI systems from adversarial manipulation at production scale.
Build an identity and access management framework for AI agents as non-human identities.
Advise on the governance of autonomous AI systems in security-critical environments within EU AI Act requirements.
Produce a security review, hardening plan, and governance framework for an enterprise agentic AI deployment.
Prerequisites
Professional experience in security architecture, AI security engineering, SOC leadership, or CISO advisory roles.
Solid understanding of AI and machine learning concepts and enterprise software architecture.
Completion of AI-Powered Attacks and Autonomous Threat Defence (X-CWAI-P) or equivalent knowledge recommended.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Pre-reading: MITRE ATLAS agentic AI threat sections and NCSC AI security guidance overview
- Introduction to agentic AI architecture: agents, tools, orchestrators, and memory components
- Lab environment setup: simulated agentic AI deployment for security review exercises
- Course objectives, AI security architecture baseline assessment, and individual development focus areas
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of Agentic AI Threats and Autonomous Cyber Defence, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Security architects, AI security engineers, SOC leads, CISOs, and technology directors with responsibility for deploying or securing agentic AI systems in enterprise or government environments.
Ready to Start Your Learning Journey?
Take the next step in your professional development