Understand prompt injection, jailbreaks, data poisoning, and how to build secure AI applications.
Recognise and prevent adversarial inputs that hijack model behaviour.
Implement guardrails that resist common jailbreak patterns.
Detect and mitigate training and RAG data contamination attacks.
Validate and sanitise model outputs before they reach end users.
Harden your AI API surface against abuse, leakage, and enumeration.
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