Archive
Synthetic Disinformation Is a Great Big Banking Risk
Viral AI rumors, hijacked regulator accounts, and deepfake CEO calls are already moving markets and deposits. This briefing reveals how U.S. banks are defending against synthetic attacks and calls out the urgent steps every bank and board should take next.
🛟 CBA’s AI Moat: 2,000 Models, 55M Daily Decisions Give Lessons for U.S. Banks
On a dollar/customer basis, CBA is one of the world’s most AI‐intensive banks. It is leveraging a principle‐led governance framework and deep hyperscaler partnerships while positioning itself as a technology company in financial services.
🛟 The AI Model Drifted. No One Told the Bank.
Capital One tracks drift daily. JPMorgan rechecks outputs with agents. If your LLM quietly fails, will you catch it in time? Regulators still expect validation, even when vendors don’t disclose model updates. Boards need monitoring pipelines or plausible deniability.
🛟 Execution AI is Moving Capital but Skipping Governance
For an increasing number of banks, agentic AI is already placing trades across FX, equities, and liquidity. Oversight still relies on human review and Excel-era controls. Examiners want circuit breakers and real-time logs. The gap is growing. Will you exploit it or get caught in it?
🛟 Your AI Can Be Tricked: New Risks for U.S. Banks
U.S. banks are rapidly deploying large language models (LLMs) across compliance, client service, and risk, but these systems can be manipulated through prompt injection attacks to leak confidential data or override controls. Regulators and boards now face an urgent mandate: secure AI systems as rigorously as capital models before trust and oversight unravel.
🛟 AI in M&A Deals: Unlock Premium Exits, Avoid Regulatory Traps
PE firms and banks are using AI to capture billions in value, yet hidden biases and weak oversight can sink the entire play. Move faster, exit smarter, and learn where boards must tighten their grip to unlock alpha with AI-led exits.
