# TrustCyber

> Independent Canada-wide advisory and published insights on enterprise architecture, cybersecurity risk, AI governance, and agentic systems.

TrustCyber is the public advisory, research, and insights site of Junior Williams. TrustCyber is operated by Junior Williams Consulting Inc. Use each linked canonical HTML page when citing the site.

## Start here

- [Home](https://trustcyber.ca/index.md): Independent advice for consequential enterprise architecture, cyber risk and AI governance decisions.
- [About Junior Williams](https://trustcyber.ca/about/index.md): My work begins with enterprise architecture and connects cyber risk and AI governance to business strategy, operating models, investment, and delivery.
- [Advisory](https://trustcyber.ca/advisory/index.md): Clarity before commitment for leaders connecting enterprise architecture, cyber risk, and AI governance before execution becomes expensive to unwind.
- [Insights](https://trustcyber.ca/insights/index.md): Connected thinking for consequential systems, with practical field guides, films, and dated briefs across enterprise architecture, cyber risk, AI governance, agentic systems, and resilience.
- [Research](https://trustcyber.ca/research/index.md): Ideas built to be examined through published work on algorithmic innovation, AI performance, and the collaboration required to secure connected infrastructure.
- [TryHackMe](https://trustcyber.ca/tryhackme/index.md): Answer-free room walkthroughs focused on investigative method, evidence validation, and the lessons that transfer beyond the lab.

## Advisory services

- [Enterprise Architecture Advisory](https://trustcyber.ca/advisory/enterprise-architecture/index.md): Decision support that turns enterprise complexity into coherent target capabilities, investable transitions, and evidence.
- [Cybersecurity Risk Advisory](https://trustcyber.ca/advisory/cybersecurity-risk/index.md): Independent guidance for leadership teams making material cyber-risk, resilience, control, and investment decisions.
- [AI Governance Advisory](https://trustcyber.ca/advisory/ai-governance/index.md): Practical governance for AI systems that connects authority, data, controls, human oversight, evidence, and measurable value.

## Insight topic guides

- [Enterprise architecture](https://trustcyber.ca/insights/enterprise-architecture/index.md): Enterprise architecture insights on strategy, transition states, context architecture, transformation, reliability, governance, and evidence.
- [Cybersecurity risk](https://trustcyber.ca/insights/cybersecurity-risk/index.md): Cybersecurity risk insights on resilience, exposure, AI security, threat intelligence, operational decisions, controls, and recovery evidence.
- [AI governance](https://trustcyber.ca/insights/ai-governance/index.md): Practical AI governance insights on authority, risk, human oversight, agentic systems, responsible AI, controls, and reviewable evidence.

## TryHackMe walkthroughs

- [AI Forensics: Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/ai-forensics/index.md): An answer-free TryHackMe AI Forensics walkthrough covering model-assisted DFIR triage, evidence validation, ethics, and timeline reconstruction.
- [LLM Security: Practical, Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/llm-security/index.md): A practical, answer-free TryHackMe LLM Security walkthrough covering data, model, system, and user threats through the room’s guided demonstrations.
- [AI System Reconnaissance: Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/ai-system-reconnaissance/index.md): An answer-free TryHackMe AI System Reconnaissance walkthrough covering service discovery, framework fingerprinting, metadata, attack paths, and detection.
- [AI Threat Modelling: Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/ai-threat-modelling/index.md): An answer-free TryHackMe AI Threat Modelling walkthrough covering AI assets, data supply chains, STRIDE, MITRE ATLAS, OWASP, and risk assessment.
- [AI Threat Modelling Assessment: Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/ai-threat-modelling-assessment/index.md): An answer-free TryHackMe AI Threat Modelling Assessment walkthrough for mapping attack paths, placing controls, judging risk, and validating defenses.
- [Prompt Injection: Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/prompt-injection/index.md): An answer-free TryHackMe Prompt Injection walkthrough covering direct and indirect attacks, retrieval trust, authorization, testing, detection, and response.
- [Jailbreaking: Practical, Answer-Free Walkthrough](https://trustcyber.ca/tryhackme/jailbreaking/index.md): An answer-free TryHackMe Jailbreaking walkthrough covering model safety boundaries, classic techniques, multi-turn conditioning, and defensive lessons.

## Featured content

- [AI Security Risks Explained: From Deepfakes to Prompt Injection](https://trustcyber.ca/insights/ai-security-risks-deepfakes-prompt-injection/index.md): A SecTor briefing on prompt injection, poisoned data, deepfakes, shadow AI, explainability, and accountable AI deployment.
- [Canadian NVIDIA resellers and solution providers](https://trustcyber.ca/insights/canadian-nvidia-resellers-solution-providers/index.md): A neutral guide to publicly documented Canadian NVIDIA partner status, buying routes, provider capabilities, and evidence limitations.
- [An agent will always find more work](https://trustcyber.ca/insights/an-agent-will-always-find-more-work/index.md): A field essay on what one unbounded multi-agent run reveals about decision rights, independent measurement, resource ceilings, and external control.
- [Toronto: One Prompt Through a Language Model](https://trustcyber.ca/insights/toronto-one-prompt-language-model/index.md): A 144-second film tracing one prompt through a language model, from seven input tokens to the sampled response “Toronto.”
- [The Modern Enterprise Architect's Handbook](https://trustcyber.ca/insights/modern-enterprise-architects-handbook/index.md): A practical operating guide for turning enterprise strategy into coherent architecture, investable transition states, governance, and evidence.
- [Graph RAG: When Structure Beats Similarity](https://trustcyber.ca/insights/graph-rag-when-structure-beats-similarity/index.md): A practical decision guide for determining when graph retrieval solves a real query-shape problem that vector search cannot.
- [AI is growing a spine](https://trustcyber.ca/insights/ai-growing-spine-agent-authority/index.md): The spine metaphor explains the shift from AI systems that generate answers to agentic systems that carry intention into consequential action.
- [Harness Engineering: Designing the System Around the Model](https://trustcyber.ca/insights/harness-engineering-system-around-model/index.md): The article argues that the durable enterprise advantage in agentic AI sits in the harness around the foundation model rather than in the model alone.
- [RAG Was Built For Answers. Agents Need Context Architecture.](https://trustcyber.ca/insights/rag-agents-context-architecture/index.md): Retrieval-augmented generation still serves search-shaped work, but agents need governed context across tools, permissions, workflows, memory, and state.

## Contact

- [Book an introductory call](https://calendly.com/jr-williams/intro-with-jr)

## Optional

- [Complete insights index](https://trustcyber.ca/insights/index.md): All field guides, films, and dated insight briefs.
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