Security & Compliance

Agentic ransomware has moved from theory to a real incident. What AI-powered, self-directing cyberattacks mean for your business, and the practical defenses that still stop them.

As open models and third-party AI proliferate, model provenance — knowing where a model came from and what’s in it — is becoming a security and trust layer. What it means for your business.

Security pros now rank agentic AI as the top attack surface for 2026, driven by shadow AI and unmanaged non-human identities. What the risk is, and how to deploy AI agents safely.

The Five Eyes alliance issued a rare joint warning that AI-powered cyber threats are months away. What AI-driven attacks mean for your business, and the practical defences to put in place now.

New confidential-computing tech lets you run large AI models on sensitive data with hardware-level privacy. What it means for Canadian businesses that held back on AI over data risk.

Coinbase's AI agent reportedly became an SEC-registered investment advisor. What it means as AI agents take on real responsibility, and how to govern the agents you deploy.

A US export-control decree reportedly cut Anthropic API access for international users over a weekend. Model-access risk just went from theory to reality, here is how Canadian businesses should de-risk it.

An agent gateway is the control plane that decides what an AI agent is allowed to do: which tools it can call, in which environment, with what approval and audit. Here is how it differs from a firewall, the five surfaces it controls, and a starter policy before you connect an agent to real systems.

A vendor-neutral look at runtime LLM security: scanning inputs before the model, verifying outputs after, inspecting MCP tools, and gating agent actions, all through a deterministic detection pipeline.

Most AI agents in production share a kernel and credentials with the host. MicroVM isolation (libkrun, microsandbox, brood-box) is becoming the right default. Here is the decision framework and a five-step adoption playbook.

DeepMind researchers identified six types of "AI Agent Traps" that can manipulate autonomous agents with up to 86% success. Here is what Canadian businesses deploying AI agents need to know.

Why data residency is critical for Canadian businesses using AI, and how to ensure your data stays in Canada.

Everything Canadian businesses need to know about the Artificial Intelligence and Data Act (AIDA) and how to prepare.

How to self-host Kimi and MiniMax models on Canadian infrastructure for PIPEDA compliance and data sovereignty.

Security best practices for deploying OpenClaw in production: access controls, sandboxing, and audit logging.

Learn how to make AI-driven ERP decisions audit-ready with logging, explainability, and human-in-the-loop controls for internal and external auditors.

Learn how AI strengthens enterprise data security through threat detection, access governance, and vulnerability management inside Oracle and SAP environments.

A practical AI governance framework for regulated Canadian industries covering model risk, PIPEDA compliance, audit trails, and board reporting.

Bill C-27 and AIDA died in January 2025. Here is what actually regulates AI in Canada in 2026: PIPEDA, Quebec Law 25, sector rules, and what is coming next.