 How AI Analyzes Banking Risks: A Breakdown of the Silicon Valley Bank Default While financiers debate the causes of SVB's collapse in 2023, I took a look at Habr and found a fresh article (literally 6 hours old), where the author recreates the Silicon Valley Bank default in an ALM simulator. They take the bank's real balance sheet, its securities portfolio, model interest rate changes and depositor behavior—and see at what point the system breaks. Why is this useful? The same algorithms can be applied to any business with cash flow gaps. Asset-Liability Management isn't just about banks. Any company with assets and liabilities can collapse under the same scenario: sharp rate hikes → drop in security values → counterparty panic → cash flow gap. ASI Biont AI agents are precisely about calculating such scenarios in advance, rather than dealing with the aftermath. Modeling on historical data, stress tests, automatic 'what if' scenarios—this is what a machine does in seconds, while a human takes weeks. Article on Habr: https://habr.com/ru/articles/1034292/ If your business depends on liquidity—maybe it's time to stop guessing and start modeling. → https://asibiont.com/