i
News
News · 2026-10-15

Bank of America assigns 4,000 people to fix AI-found vulnerabilities

@neuronium_ai @neuronium_ai

Bank of America says it has assigned 4,000 people to fix vulnerabilities found by AI models, including Anthropic’s Mythos. The number offers a rare view of the human work that follows AI-assisted security research: finding flaws is only part of the job, and closing them at a large company takes a coordinated effort. CEO Brian Moynihan expects the cost of remediation to fall over time.

Cover: Bank of America assigns 4,000 people to fix AI-found vulnerabilities

From discovery to repair

Anthropic gave selected partners access to Mythos in April through Project Glasswing, saying the model had found thousands of serious security vulnerabilities. OpenAI launched its own cybersecurity program, Daybreak, in May.

Early criticism cast the labs’ warnings and proposed safeguards as public relations. The debate later shifted, shaped by incidents such as the Hugging Face breach and independent assessments that found stronger capabilities in newer models.

Bank of America is among the first large US companies to disclose how many people it has put to work fixing vulnerabilities found by AI. That makes the 4,000 figure notable, but it does not tell us how many flaws the company is addressing, how severe they are, or how long repairs take.

The work behind the number

I think the more revealing measure is not the size of the team but how quickly it can shrink. Moynihan expects remediation costs to fall over time, but the announcement gives no timeline or evidence yet that the work is getting cheaper.

The gap between models finding vulnerabilities and companies fixing them is the harder problem. If AI keeps accelerating discovery, the value of its security work will depend on whether the people and processes behind remediation can keep pace.

Daily AI news

Every day we pick what actually matters in AI and explain it plainly — no hype, no filler. Subscribe if you want to follow where the industry is going.

Only what matters — every day

Follow on X