Build AI threat awareness before attackers exploit the gap
Structured training programmes for security teams, developers, and executives — covering prompt injection, adversarial ML attacks, AI governance obligations, and hands-on OWASP LLM Top 10 scenarios.
What is AI Security Training — Build AI Threat Awareness Across Your Team?
AI security training is a structured programme that builds threat awareness and defensive skills for working with AI and LLM systems. It covers adversarial machine learning, prompt injection attacks, model access control failures, AI supply chain risks, and the governance obligations introduced by the EU AI Act, NIST AI RMF, and ISO 42001 — delivered as role-specific modules for security teams, developers, and executives.
Why AI security skills gaps are dangerous
- Most security professionals lack hands-on experience defending against prompt injection, jailbreaks, and adversarial ML — the techniques attackers are actively deploying
- Developers ship LLM features without understanding OWASP LLM Top 10 risks — creating vulnerabilities that conventional SAST and DAST tools cannot detect
- Executives signing off on AI deployments often cannot evaluate AI risk disclosures — leading to governance gaps and EU AI Act non-compliance
- AI-specific social engineering (deepfake voice, synthetic spear-phishing) requires updated phishing awareness training beyond email-based scenarios
A four-step operational model
Role Assessment
Baseline knowledge assessment for each role group — security analysts, developers, and leadership — to tailor module depth and focus areas.
- Baseline knowledge scoring
- Role-specific module selection
- Skill gap identification
Core AI Threat Modules
Hands-on modules covering OWASP LLM Top 10, prompt injection attack scenarios, adversarial ML concepts, AI supply chain risks, and AI-specific social engineering.
- OWASP LLM Top 10 deep dives
- Prompt injection simulation labs
- Adversarial ML scenario walkthroughs
Governance Track
Executive and compliance-track modules on EU AI Act obligations, NIST AI RMF implementation, ISO 42001 controls, and AI risk disclosure requirements.
- EU AI Act obligation mapping
- NIST AI RMF governance track
- ISO 42001 control overview
Scenario-Based Assessment
Post-training scenario exercises validate retention and applied skills — realistic attack scenarios tested against the OWASP LLM Top 10 and AI governance frameworks.
- Attack scenario exercises
- Knowledge retention assessment
- Completion certificates per role
Outcomes for security teams
Prompt injection is #1 on OWASP LLM Top 10 — and most teams have never seen it
Direct and indirect prompt injection attacks are actively exploited in production LLM applications. Training security teams and developers to recognise and prevent them is the first line of defence.
EU AI Act creates mandatory AI literacy obligations
EU AI Act Article 4 requires member states to promote AI literacy. High-risk AI system operators must ensure staff have sufficient AI competency — trained, documented, and auditable.
Deepfake voice and synthetic spear-phishing require updated awareness training
AI-generated voice cloning and hyper-personalised spear-phishing require updated social engineering awareness training that goes beyond traditional email-phishing simulations.
Direct answers
What is AI security training?+
Structured training that builds threat awareness and defensive skills for AI and LLM deployments — covering prompt injection, adversarial ML, AI governance, and OWASP LLM Top 10 scenarios. Delivered in role-specific tracks for security teams, developers, and executives.
Who should attend AI security training?+
Three audiences benefit most: security analysts who need to assess and respond to AI-layer threats; developers who build and integrate LLM features; and executives who govern AI risk, evaluate AI disclosures, and are accountable under EU AI Act obligations.
What is the OWASP LLM Top 10?+
The OWASP LLM Top 10 is the authoritative list of security risks in large language model applications — led by prompt injection, insecure output handling, training data poisoning, and supply chain vulnerabilities. It is the primary framework for AI application security.
Is this training required for EU AI Act compliance?+
EU AI Act Article 4 requires member states to promote AI literacy, and operators of high-risk AI systems must document staff AI competency. AI security training that covers EU AI Act obligations provides both the competency and the documentation trail.