A six-layer view of the controls, roles, and reporting lines that a Canadian federally regulated financial institution (FRFI) will be expected to demonstrate under OSFI Guideline E-23, with parallel obligations from the CFPB, NYDFS, and the EU AI Act for cross-border activity. Proper AI governance demands this. (Note: you can Read more
If your agents can’t prove – with tamper-evident evidence – that they follow every one of these at runtime, then you need Ethosure. Check below, and if you answer “no” to any of the items listed, you can download a free copy of our AI Governance Kit at the bottom Read more
A generic AI governance framework provides a starting point. Regulatory obligations, however, are sector-specific – and the gap between a general policy and a compliant program widens quickly once you enter a regulated industry. This chapter covers the requirements that apply directly to financial services (with particular focus on credit Read more
AI governance is no longer a management-level discretionary matter. Boards of publicly traded companies, regulated financial institutions, and major private organizations now face explicit expectations – from regulators, shareholders, and insurers – that they will exercise meaningful oversight of AI risk. The era of delegating AI entirely to the technology Read more
Software products have always had features that were really infrastructure: uptime, security, data integrity. Those features were assumed without being measured – until they failed visibly enough that buyers started demanding specifics. “What is your uptime SLA?” became standard because outages became a differentiator. “How do you handle breaches?” became Read more
Every technology adoption cycle produces cautionary tales. The early internet had companies that scaled customer data operations without encryption. Cloud adoption produced enterprises that pushed sensitive workloads to public infrastructure without access controls. AI agents are in the “before the cautionary tales are written” phase. The deployments happening right now, Read more
Every technology governance debate eventually arrives at the same false binary: move fast, or be safe. Ship agents and accept the risk, or implement controls and accept the slowdown. The framing is wrong – but it is so pervasive that IBM’s Cost of a Data Breach 2025 found that governance Read more
Canadian financial institutions are navigating a regulatory environment that has never been more demanding – and doing it simultaneously with accelerating AI agent deployments across operations, compliance, customer service, and risk management. Three regulatory frameworks define the stakes: OSFI’s AGILE framework, FINTRAC’s enforcement posture, and PIPEDA. Understanding what each requires Read more
Boards are asking. Not in a casual, exploratory way – in the way that follows a compliance breach, a regulatory inquiry, or a news story about an AI system doing something it should not have done. The question landing in board meetings now is direct: who in this organization is Read more
There is a number that should concentrate the mind of every CIO, CISO, and chief risk officer: one billion. According to IDC’s February 2026 report *Operationalizing Trust for Agentic AI*, the global population of deployed AI agents is on course to pass one billion by 2029 – roughly a 40-fold Read more
