3-Day Instructor-Led Programme
An advanced programme for security architects and AI security engineers covering the emerging threat posed by autonomous AI agents conducting multi-stage attacks, prompt injection and agent hijacking vulnerabilities, and the security design requirements for enterprise agentic AI deployments. Build the capability to assess agentic AI attack surfaces, design security controls for AI agent pipelines, apply MLSecOps principles, and produce a governance framework for safe autonomous AI deployment.
Duration
3 Days
Price
$4,295
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.
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.
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.
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.
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.
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.
Step-by-step learning journey from basics to professional practice
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
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.
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."
Everything you need to know about the certification exams
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
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.
Take the next step in your professional development