In June 2025, a single email quietly compromised Microsoft 365 Copilot through a vulnerability known as EchoLeak (CVE‑2025‑32711). There were no clicks, no attachments, and no user error. Copilot simply processed the message as designed and unintentionally exposed emails, documents, Teams chats, and SharePoint data. Although Microsoft patched the issue quickly, the incident made one thing clear: AI systems are no longer just tools—they are part of the attack surface. This aligns with the Canadian Centre for Cyber Security’s National Cyber Threat Assessment 2025–2026, which warns that AI‑enabled attacks now define a new era of cyber vulnerability, at the same time AI adoption across Canadian organizations has doubled in just one year.
Traditional cybersecurity controls were never built for this reality. Firewalls, endpoint protection, and SIEM tools cannot distinguish a legitimate AI prompt from a malicious one, nor can they detect an AI system misusing data it is already authorized to access. Prompt injection, now ranked by OWASP as the top risk to large language model applications, exploits intended AI behaviour rather than software flaws. As AI systems become more autonomous—triggering workflows, accessing systems, and acting at scale—a single manipulated instruction can cascade into data exposure or unauthorized actions without triggering conventional alerts. The risk grows even further with agentic AI, where systems interact with other tools and agents, enabling invisible “second‑order” attacks that unfold at machine speed.
For Canadian municipalities, the implications are immediate. AI systems increasingly hold privileged access to sensitive citizen data and internal operations, yet readiness continues to lag behind adoption. Nearly half of Canadian IT leaders cite insufficient AI expertise as their biggest challenge, and fewer than half of board members say they fully understand AI‑related risks. Closing this gap requires treating AI like a digital identity—governed, monitored, and secured by design. Clear AI governance, visibility into AI deployments, AI‑specific defensive controls, and incident response plans tailored to AI compromise are no longer optional. The threat landscape is evolving rapidly, and municipal cybersecurity strategies must evolve just as fast.
Original article courtesy of LAS.ON.CA
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