AI Security Awareness Training
A practical, awareness-driven program that focuses on how AI systems can be attacked, recognising real-world risks, and applying simple, effective security practices. No heavy math, no complex tooling — just clear, practical AI security.
AI is being adopted faster than it is being secured.
Most users and builders underestimate the security risks embedded in AI systems. From prompt injection and data leakage to model manipulation and deepfake abuse, AI introduces a new class of threats that traditional security practices don't fully address.
This program provides a practical, awareness-driven understanding of AI security risks — helping participants use and build AI systems safely, regardless of their technical background.
- How AI systems can be attacked
- Real-world AI risks and misuse scenarios
- Safe practices for using and building AI
- OWASP LLM Top 10 — explained simply
- Human risks: deepfakes, scams & social engineering
By the end of the session you'll be able to
- Understand basic cybersecurity concepts relevant to AI.
- Identify common AI threats and misuse scenarios.
- Recognise vulnerabilities in AI / LLM-based applications.
- Understand OWASP LLM Top 10 risks at a high level.
- Apply simple, practical steps to use AI securely.
One day. Five sessions. One applied challenge.
Cybersecurity Basics for AI
- ›Why security matters in AI
- ›CIA Triad — Confidentiality, Integrity, Availability
- ›Authentication & access control basics
- ›Common cyber threats: phishing, malware, credential theft
- ›Quick activity: spot the risk in an AI usage scenario
Introduction to AI Security
- ›What is AI Security? AI vs traditional applications
- ›How AI systems work: Data → Model → Output
- ›Why AI is vulnerable: data, opacity, open APIs
- ›Real-world misuse: deepfakes & AI-generated scams
- ›Demo: how an AI chatbot can be tricked
Common AI Threats Explained
- ›Prompt injection & data leakage
- ›Model manipulation & hallucination risks
- ›LLM-specific risks: jailbreaking & unsafe outputs
- ›Real-world examples: AI phishing & fake identities
- ›Exercise: identify what went wrong in real AI attacks
OWASP LLM Top 10 — Simplified
- ›Prompt Injection & Sensitive Data Exposure
- ›Insecure Output Handling
- ›Over-reliance on AI
- ›What these mean in plain language
- ›Group activity: match risks to real-world use cases
Safe AI Usage & Secure Development
- ›Do's and Don'ts when using AI tools
- ›For developers: input validation, output filtering, API basics
- ›For users: avoid sensitive data, verify AI output
- ›Organisational: AI usage policies & human-in-the-loop
- ›Awareness across teams and roles
AI Risk Spotting Challenge
- ›Review a simple AI application (chatbot / generator)
- ›Identify risks and possible attacks
- ›Suggest basic safeguards
- ›Group discussion & debrief
- ›Key takeaways and next steps
Final Challenge
Participants review a simple AI application — a chatbot or content generator — identify risks and possible attacks, and propose basic safeguards in a guided group exercise.
Key Takeaways
- AI is powerful — but not secure by default
- Most AI attacks exploit human trust + weak controls
- Awareness can prevent the majority of AI risks
- Simple practices significantly improve AI safety
Built for everyone working with AI.
No prior AI or security background required. The program meets each audience where they are — from non-technical users to developers, security teams, and leadership.
What awareness participants say.
"I went in with zero AI background and left genuinely understanding what prompt injection is and how to spot it. Brilliantly explained."
"Our entire engineering team took this awareness program before being given access to our internal LLM tools. It immediately shifted behaviour."
"The deepfake and AI phishing demos were eye-opening. We've reshaped our employee security awareness program around what we learned."
"Practical, jargon-free and surprisingly fun. Exactly the AI security primer every modern workforce needs."
Build AI awareness across your organisation.
Run this 1-day program privately for your team, or join an upcoming public cohort.
Enroll in Awareness Training