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Vigil

Human risk · November 2026

The banks just admitted they can’t tell your people from a machine

An Axios scoop put the AI-agent risk on the record. The technical story is real. The bigger one is human.

Last month an Axios scoop put the biggest banks in America on the record saying something they usually keep to themselves. They are finding AI agents inside their customers’ accounts. They did not authorise them. And they often cannot tell whether a person or a machine is logged in. Morgan Stanley has started blocking third party agents. JPMorgan, Bank of America, Citi and Charles Schwab are restricting them. Axios reported bank executives describing the situation as “horrifying.”

It is easy to read that as a banking infrastructure problem. It is not, or at least not only. Read the quotes again and the real problem is the one most security teams have been avoiding: you can no longer tell, at the moment it matters, whether the thing acting on an account is the human you trust or something wearing their credentials.

“You don’t want rogue agents, and there could be thousands of them.”

Jamie Dimon, Chairman and CEO, JPMorganChase, October 2026

Charles Schwab’s chief executive Rick Wurster said the firm is “blocking unauthorised agents who try to log in on behalf of clients,” and does not let them move money. Citi’s global head of AI wants a “know your agent” process, the way banks already run know your customer.

Here is the part that should stop a board. Most of this access is not a hack. It is a customer who willingly handed an agent their username and password because the agent offered to help. One industry expert put it plainly: there are “no agreed standards yet for how a bank verifies an agent,” and the agents mimic the behaviour of real human users, so they are hard to detect at all.

Notice what that removes. The attacker no longer has to break in. They either persuade a person to open the door, or they arrive wearing the legitimacy of an agent that person already trusts. Either way the control meant to catch them, a check built to tell an authorised human from an intruder, is staring straight at the one signal it was never designed to question.

That is not a firewall problem. That is a judgment problem, and judgment lives in people.

The agents are coming because customers want them

People are not reluctant. In Accenture’s January 2026 survey of more than 25,000 consumers, three in four said they would let an AI agent carry out tasks on their instruction, and roughly a third would let it choose and spend with their approval.

The figure worth watching is not any single number but the direction. As letting an agent act on your behalf becomes ordinary, the old instinct that kept people safe, do not share your password with anyone, quietly erodes. Handing credentials to an agent starts to feel like using a product rather than taking a risk. That is precisely the behaviour the next wave of attacks is built to rent.

How much control people will hand an AI agent

Share of consumers willing to let an agent act, by level of autonomy

Act on my instruction
74%
Choose, with my approval to pay
32%
Buy on its own, within limits
9%
Accenture Consumer Pulse, January 2026 (n = 25,590, 16 countries)
$3–5tn
Projected global agentic commerce by 2030
McKinsey, 2025
49%
Already used AI for a savings or investment decision in the past six months
EY, 2026
$3.5bn
US imposter-scam losses reported in 2025
FTC, 2026

The thing agents exploit is the oldest thing in security

Whatever an agent does, it does it through a person’s access and a person’s trust. That is the same door attackers have always used. In Verizon’s 2026 Data Breach Investigations Report, a person was involved in 62% of all breaches, and 65% in financial services. Agents do not change that equation. They industrialise it.

Industrialise is the right word. A convincing social-engineering campaign used to need a skilled person, time and patience, and it did not scale. An agent has none of those limits. It does not get tired, it never sounds nervous, and it can run the same approach against thousands of people at once, at any hour, learning from what works as it goes.

The breach is almost always a person

Share of breaches, 2026

Involved a human element
62%
Human element, financial & insurance
65%
Involved social engineering
16%
Credential abuse as initial access
13%
Verizon 2026 Data Breach Investigations Report

And the cost is compounding

The FBI’s complaint centre logged $20.9bn in reported losses in 2025, up from $4.2bn in 2020. For the first time it broke out AI-related crime on its own. A cloned voice is now good enough that one European businessman wired close to a million euros after a call from what he believed was a government minister.

The cost of the human vector is compounding

Reported losses to the FBI’s internet-crime centre, US$ billions

$0$5$10$15$20$4.2bn$20.9bn202020212022202320242025
FBI IC3 Annual Report 2025. AI-related crime, reported separately for the first time: $893m across 22,364 complaints.

You cannot buy your way out of a judgment call

The banks are responding the only way they can right now, by blocking agents and rewriting their terms of service, because there is no rulebook. US regulators have not written one. A finance industry working group said it cleanly this year: a deepfake cannot spoof possession of a private cryptographic key, but it can absolutely spoof a human. So the controls built around humans are the ones under pressure.

“They also mimic the behavior of actual human users, so it’s really hard to detect.”

Mickey Boodaei, Transmit Security, October 2026

You can block an agent at your login page. You cannot block the moment your finance manager takes a call from a voice that sounds exactly like your chief executive, or the moment an employee pastes company credentials into a helpful looking assistant. Those moments happen in people, and they are getting harder to call, not easier.

Where Vigil fits

Get ahead of the human layer, and measure it

This is the work we do, and we want to be precise about what it is and is not. We do not block agents, authenticate them, or sit inside your payment flow. That is the banks’ job and the identity vendors’ job. What we do is the human layer that every one of these attacks actually targets.

That means measuring, person by person, who is most likely to hand over access or act on a fake, and watching that risk move over time instead of guessing. It means running the attacks for real, as customised programmes: credential-request emails and messages built around the scenarios your people will actually see, and live AI phone calls in the consented, revocable cloned voice of a real colleague, so the first time someone hears a perfect fake of a voice they trust, it happens in a training exercise and not on a wire request. It means a one-click way for anyone to report a suspicious message and get an instant answer on whether it was real, with the people who need help routed straight into short, targeted training. And it means the evidence to show a regulator or an insurer, mapped to the frameworks they ask about, on the day after something goes wrong.

None of that stops an AI agent. It does the thing blocking cannot. It makes your people harder to fool, and it tells you how much harder, in numbers.

To be clear about what Vigil is not

  • It does not detect, block or authenticate AI agents.
  • It does not sit in your login flow, your infrastructure or the transaction path.
  • It is not an API gateway, an identity provider or a fraud engine.
  • It measures and changes human behaviour, and gives you the evidence for it.

The banks got a head start on this because they could see it in their own logs. Most organisations cannot see it yet. That is the window. The agents and the fakes are only going to get better, and the gap all of us have to close is the human one.

If you want to see what measuring and closing that gap looks like for your team, we would be glad to show you.

The Vigil teamHuman risk management

Sources

  1. Madison Mills, “Scoop: Unvetted AI agents are accessing U.S. bank accounts,” Axios, 22 October 2026.
  2. Jamie Dimon, JPMorganChase Q3 2026 earnings call, 13 October 2026 (reported by Business Insider, American Banker, Fortune).
  3. Rick Wurster comments, InvestmentNews, 28 October 2026. Naveed Anwar, Citi, Banking Dive, 23 October 2026.
  4. Mickey Boodaei and others, American Banker, 27 October 2026.
  5. Accenture Consumer Pulse 2026, January 2026 (n = 25,590). McKinsey on agentic commerce, October 2025. EY Global AI Sentiment Survey, April 2026.
  6. Verizon 2026 Data Breach Investigations Report (executive summary).
  7. FBI IC3 Annual Report 2025. US Federal Trade Commission fraud data, June 2026.
  8. Cloned-voice fraud case, Reuters, February 2025. Financial-sector identity working group (ABA, Better Identity Coalition, FSSCC), April 2026.