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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What six cyber agencies, including Canada’s, say about agent identity, short-lived access and limits outside the model.
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CVE-2026-59822 is on CISA’s exploited list. What happened, how to check if you are affected, and what to fix this week.
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What the September 2026 CISA, NSA and FBI advisory says, and the usage signals any company with an AI API should watch.
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How jailbreaks work, why static rules miss them, and the firewall layers and testing that catch them before they reach your model.
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The questions to ask an AI supplier about your data, the model underneath, testing and the contract, and the evidence to demand.
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What the AI management system standard asks for, how it differs from NIST AI RMF, and what Canadian buyers check.
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An AI system register lists every model you run, who owns it, what data it touches and when it was reviewed.
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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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