Practical guidance on securing LLMs, chatbots, and AI agents: prompt injection, jailbreaks, governance, and the Canadian AI regulatory environment. Topics map to the OWASP LLM Top 10.

Which sectors C-8 covers, what designated operators must do, and where AI fits in.
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All four C-8 obligations covered, including the AI layer most programs have missed.
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What AI-specific controls regulators will expect, and why traditional programs don’t cover them.
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Why model behaviour cannot be patched shut like a code flaw, and what a useful report has to contain.
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What Govern, Map, Measure and Manage look like in practice, and the evidence buyers ask for.
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What LLM security is, the OWASP LLM Top 10 risks, and how to protect your LLM applications.
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How AI firewalls work, what they block, and how to choose one for your LLMs and AI agents.
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Where guardrails stop working, and the extra layers of security an AI firewall adds on top.
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How attackers hijack LLMs with hidden instructions, and how to stop them.
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What Canadian organizations must do as AI regulation tightens.
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A practical checklist for testing AI features against real attacks.
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