--- url: "https://xcademia.com/courses/ai-security-practitioner" title: AI Security Practitioner description: "Learn AI security including prompt injection, data leakage prevention, and secure deployment in this mentor-led programme using practical scenarios." publishedAt: "2026-03-18T09:19:54.324484+00:00" updatedAt: "2026-03-30T22:50:53.7265+00:00" type: course code: "AID-0069" level: Practitioner duration_days: "3" track: AI Security category: "Cybersecurity & Ethical Hacking" credential_tier: tier1 price_gbp: "1999" --- # AI Security Practitioner > Develop the skills to secure AI systems against evolving threats using structured, mentor-led approaches and practical scenarios. Learn how to detect, prevent, and govern risks such as prompt injection, data leakage, and unsafe deployment patterns. ## Overview AI systems introduce new attack surfaces and governance challenges that traditional security approaches do not fully address. This mentor-led programme equips professionals with a structured understanding of AI-specific threats, including prompt injection, model manipulation, and data exposure risks. Learners will explore how these risks emerge across the AI lifecycle and how to mitigate them effectively. Through practical scenarios, participants will learn how to design and implement secure AI solutions aligned with modern cybersecurity practices. The course emphasises defensive strategies, policy enforcement, and monitoring mechanisms to ensure safe and compliant use of AI systems in real-world environments. By the end of the programme, learners will be able to confidently assess AI risks, implement security controls, and contribute to responsible AI deployment within their organisations. The focus remains on practical application, enabling immediate impact in professional settings. ## Prerequisites - Basic understanding of cybersecurity or application security. - Familiarity with AI or software systems. - Experience in IT, security, or development roles. ## What you will learn - Analyse AI system architectures and attack surfaces - Evaluate prompt injection and manipulation risks - Implement controls to prevent data leakage - Design policy enforcement and guardrails - Communicate AI security risks to stakeholders - Evaluate monitoring and incident response strategies ## Skills you will gain - AI security fundamentals - Prompt injection risk mitigation - Data leakage prevention - AI policy and guardrails - AI monitoring and detection - Secure AI deployment patterns ## Career progression - AI Security Analyst - LLM Security Engineer - AI Risk Specialist - Application Security Engineer - AI Governance Analyst ## Curriculum 1. **Module 1: Getting Ready** - AI security landscape and key risks - Programme roadmap and expectations 2. **Module 2: AI Systems and Threat Landscape** - Overview of AI and LLM architectures - Attack surfaces in AI applications - Threat actors and risk scenarios 3. **Module 3: Prompt Injection and Model Manipulation** - Understanding prompt injection risks - Input manipulation and adversarial prompts - Defensive design patterns and controls 4. **Module 4: Data Leakage and Privacy Risks** - Sensitive data exposure in AI systems - Training data and inference risks - Data protection and minimisation strategies 5. **Module 5: Policy Enforcement and Guardrails** - AI usage policies and governance - Implementing guardrails and restrictions - Access control and safe interaction design 6. **Module 6: Monitoring and Detection in AI Systems** - Logging and monitoring AI interactions - Detecting anomalies and misuse patterns - Incident response for AI systems 7. **Module 7: Secure Deployment Patterns for AI** - Secure AI application architectures - Integration risks with APIs and systems - Safe deployment and lifecycle management 8. **Module 8: AI Governance and Responsible Use** - Risk management frameworks for AI - Ethical and regulatory considerations - Building organisational AI governance models ## Exam & certification You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations. ## Delivery options - **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible. - **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more. - **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning. - **Blended** — Combine online and in-person learning for maximum flexibility and impact. ## Frequently asked questions **Who should attend the AI Security Practitioner course?** Security professionals, AI engineers, developers, and governance specialists working with AI systems. **Do I need AI development experience?** No, basic familiarity with AI concepts or software systems is sufficient. **Does the course include hands-on exercises?** Yes, it includes practical scenarios such as prompt injection simulations and security design exercises. **Is this course focused on offensive AI security?** No, it focuses on authorised testing, risk identification, and defence strategies for secure AI deployment. **What certificate will I receive?** Participants receive an Xcademia Certificate of Achievement upon successful completion. ## Course at a glance | Field | Value | | --- | --- | | Code | AID-0069 | | Duration | 3 days | | Level | Practitioner | | Track | AI Security | | Category | Cybersecurity & Ethical Hacking | | Credential tier | tier1 | | Price (GBP) | £1999 | --- ## About this content This Markdown course profile is the citation-grade twin of [AI Security Practitioner](https://xcademia.com/courses/ai-security-practitioner). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite. When citing or quoting, please attribute *Xcademia* and link back to the source URL above. - Source: https://xcademia.com/courses/ai-security-practitioner - Publisher: Xcademia — https://xcademia.com - Catalogue index: https://xcademia.com/llms-full.txt