AI & Cybersecurity – Full Training Portfolio: Secure AI Adoption, Cybersecurity, Agentic AI Security , Executive Briefing and Agentic AI Cyber Coach & Trainer Agent

The programme is suitable for both technical and non-technical participants. Examples and exercises can be adapted to the audience’s level and organisational context.

No advanced technical prerequisite is required for the Executive Briefing or strategic awareness sessions.

This training aims to help leaders, managers, IT teams, cybersecurity teams, risk and compliance professionals, and business teams understand, secure and responsibly deploy AI, Generative AI and agentic workflows.

By the end of the selected programme or option, participants will be able to:

• Understand the key concepts of AI, Generative AI, LLMs and AI agents.
• Identify opportunities, limitations and risks related to AI adoption in organisations.
• Recognise the main cybersecurity threats linked to AI, including AI-powered attacks, data leakage, prompt injection, model vulnerabilities, poisoned memory, unsafe automation and tool misuse.
• Apply security principles to AI systems, including Zero Trust, identity and access control, data governance, secure ML/MLOps pipelines, logging, monitoring and incident response.
• Design and improve secure AI solutions based on real business use cases.
• Apply AI governance and risk-management principles in line with relevant regulatory and compliance requirements, including the EU AI Act, GDPR, NIS2, the Cyber Resilience Act, the Data Act and ISO/IEC 42001.
• Secure agentic AI workflows, including prompts, tools, APIs, memory, RAG, permissions, human approval gates and release controls.
• Produce practical outputs such as a secure AI blueprint, risk checklist, tool permission matrix, secure prompt template, incident playbook, monitoring checklist and secure-AI roadmap.

The programme is structured as a modular training portfolio. Each option can be delivered separately or combined into a full learning pathway.

Option 1 – 5-Day AI & Cybersecurity Training – 35 hours

This full programme covers AI fundamentals, cybersecurity essentials, secure AI systems, governance, compliance, security operations and a secure-AI roadmap.

• Day 1: AI Fundamentals and Landscape

Key topics: AI concepts, types and capabilities; the AI ecosystem; models, tools and platforms; Generative AI and LLM opportunities and risks; impact of AI on business and society.
Hands-on workshop: prompt engineering lab to explore LLM capabilities, limits, safety and bias.

• Day 2: Cybersecurity Essentials in the AI Era

Key topics: modern cyber-threat landscape, AI-powered attacks, AI-enabled defence, security principles for AI systems, Zero Trust, identity and access patterns for AI applications. Discussion will include introductions to Open Worldwide Application Security Project’s(OWASP) top 10 vulnerabilities for LLMs and MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework.

Hands-on workshop: threat-scenario analysis to map AI-enabled attack chains, exposed assets, risks and mitigations.

• Day 3: Securing AI Systems and Data

Key topics: data security, privacy and governance for AI; ML pipelines and MLOps environments; adversarial attacks; model vulnerabilities; poisoning; data leakage; bias and model-integrity risks.
Hands-on workshop: secure an ML pipeline from data intake to model serving and test it against adversarial inputs.

Content will address security of SaaS platforms and On-prem environments as separate topics of focus:
1. SaaS: securing API boundaries, data in transit, prompt and response logging, third party data residency, and trusting the provider's model controls,
2. On prem: owning the full stack, including model weights at rest, inference infrastructure, model supply chain, and host and GPU hardening, with a correspondingly different protection approach, governance posture and incident playbook.

• Day 4: AI Governance, Risk and Compliance

Key topics: AI risk-management framework, governance design, EU AI Act, GDPR, NIS2, Cyber Resilience Act, Data Act, ISO/IEC 42001, ethical AI, responsible use, third-party and supply-chain risk.
Hands-on workshop: build an AI risk-assessment and compliance checklist for a selected use case.

• Day 5: AI Security Operations and Future-Ready Roadmap

Key topics: AI for cybersecurity operations, SOC, threat intelligence, security orchestration, automation and response with AI copilots, incident detection and response in AI environments, long-term secure-AI roadmap.
Hands-on workshop: incident-response simulation using AI tools to detect, investigate and respond to simulated incidents.

OTHER AVAILABLE OPTIONS:

Option 2 – 2-Day AI & Cybersecurity Accelerator – 14 hours

A compact sprint for teams that need to design, test and improve secure AI solutions quickly.

Day 1: Design and Build Secure AI Solutions
Key topics: from business use case to secure AI solution, secure architecture patterns, tools, frameworks and platforms for trustworthy AI, validation of models, data flows and controls.
Hands-on workshop: design a secure AI solution architecture for a selected use case and compliance context.

Day 2: Implement, Test and Optimise
Key topics: implementing and integrating AI applications, security testing and red-teaming for AI, monitoring, logging, observability, continuous improvement and secure scaling.
Hands-on workshop: test, monitor and harden the solution; practise secure deployment and incident handling.

Expected outputs: secure-solution architecture, test and monitoring plan, improvement backlog.

Option 3 – 1-Day Agentic AI Agent Security – 7 hours

A practical training option focused on securing AI agents, prompts, tools, memory, RAG and workflows.

Key modules include:

• Foundations: AI vs Generative AI vs AI agents, autonomy, tool use, memory and RAG.
• Agentic AI attack surface: user prompts, system prompts, external content, RAG, memory, APIs, tools, identity, secrets, delegated permissions and human reviewers.
• Critical agent security risks: prompt injection, hidden instructions, system prompt extraction, data exfiltration, poisoned memory, unsafe automation and human-in-the-loop manipulation.
• Secure agent design principles: untrusted content handling, least privilege, allowlists, source ACLs, short-lived credentials, approvals, dry-run mode, logging, kill switches and rollback.
• Securing prompts, instructions and tool use: system prompts, developer prompts, allowed and forbidden actions, sensitive-data rules, escalation logic, evidence requirements and safe output formats.
• Hands-on workshop: participants secure a real or realistic AI agent use case, including prompts, tool permissions, approval steps, release gates and runtime alerts.
• Expected outputs: secured agent workflow map, safer system/developer prompt template, tool permission matrix, prompt-injection defence checklist and release-readiness checklist.

Option 4 – 2-Hour Executive Briefing

A high-level session for executives, board members and C-level leaders.

The briefing covers AI and cybersecurity trends, strategic opportunities and risks, regulatory outlook, governance decisions, secure AI adoption choices, risk appetite, use-case prioritisation, ownership, budget, execution model and tailored recommendations.

Option 5 – Agentic AI Agent Cyber Coach & Trainer

• Artificial Intelligence, Generative AI, LLMs and AI agents.
• Cybersecurity applied to AI systems.
• AI-powered attacks and AI-enabled defence.
• Secure prompt engineering.
• Direct and indirect prompt injection.
• Data leakage and protection of sensitive information.
• Model security, data security and ML/MLOps pipeline security.
• AI governance, compliance and risk management.
• EU AI Act, GDPR, NIS2, Cyber Resilience Act, Data Act and ISO/IEC 42001.
• Zero Trust, identity, access control and permissions.
• Security of AI agents, tools, APIs, memory, RAG and workflows.
• Human-in-the-loop approval, release gates and rollback.
• Monitoring, logging, observability and incident detection.
• AI red teaming and security testing.
• AI incident response.
• Secure AI blueprint, checklists, control matrices and roadmap.

The training combines theory, practical examples, demonstrations, case studies and hands-on workshops.

Assessment is continuous and practical.

Participants may receive a certificate of attendance after completion of the selected training option.

Depending on the selected option, participants receive a document kit.

The training can be delivered in person, online or in hybrid format.

This training portfolio helps organisations build a secure AI advantage by accelerating responsible AI adoption, strengthening governance, reducing cyber and operational risks, and improving the practical skills of teams.

Participants leave with concrete and reusable tools, including a secure AI blueprint, secure prompt template, tool permission matrix, risk checklist, incident playbook, release gates and secure-AI roadmap.

The programme is action-oriented: each module connects AI and cybersecurity concepts to practical decisions, applicable controls and outputs that teams can use immediately.