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Security and Risks

Essential Reading

Understand the real risks of AI systems and how to mitigate them proportionately.

Important Liability Notice

You are responsible for the AI systems you build and deploy. This educational content provides guidance based on current best practices, but AI technology evolves rapidly. Always conduct your own risk assessment. By building AI systems, you accept responsibility for their behaviour and any consequences.

Why Security Matters for AI

AI systems can be remarkably useful, but they also introduce new types of risks that traditional software does not have. Understanding these risks helps you build safer systems.

The good news: for most personal and small-scale uses, the risks are manageable with basic precautions. The key is to understand what level of risk applies to your situation.

AI-Specific Risks

  • Prompt Injection: Attackers manipulating your AI through crafted inputs
  • Data Leakage: AI revealing sensitive information it should not
  • Hallucination: AI confidently stating false information
  • Jailbreaking: Bypassing safety guardrails
  • Training Data Exposure: Revealing data the model was trained on

Traditional Risks (Still Apply)

  • Authentication: Who can access your AI system?
  • Authorisation: What can different users do?
  • API Key Management: Protecting your credentials
  • Network Security: Securing communications
  • Logging & Monitoring: Knowing what is happening

The Proportionality Principle

Not all AI deployments need the same level of security. A personal assistant running on your laptop has very different requirements than a customer-facing chatbot. We will help you assess what level of security is appropriate for your situation.

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