Photo By: engin akyurt
Artificial intelligence is moving beyond chatbots that simply answer questions.
Companies are now developing AI agents that can take action on their own. These systems can browse websites, access files, write and run code, communicate with other software and complete tasks with limited human involvement.
The goal is to make work faster and easier. Instead of telling an AI exactly how to complete a task, a person can give it a goal and allow the system to determine the steps.
That ability comes with new risks.
An AI agent that makes a mistake while writing an email may only create an inconvenience. An agent with access to a company’s financial systems could create a much bigger problem.
The concern is growing as businesses explore giving AI agents access to payments, accounting systems and other financial tools.
From Chatbot to Financial Actor
An AI that writes an incorrect email can be frustrating.
An AI that books the wrong hotel can be inconvenient.
An AI that sends money to the wrong bank account can be costly.
The financial industry is already exploring AI agents for tasks such as accounting, fraud detection, research and payments. A 2026 Cloud Security Alliance report found that 62% of financial services organizations surveyed had already deployed AI agents. The report also found that 85% expected autonomous AI-driven financial transactions in the future.
That second figure does not mean that 85% of companies currently allow AI systems to move money without human approval. It refers to organizations that expect autonomous financial transactions to become part of the industry.
The trend raises an important question: How much financial authority should an AI system have?
Kevin Connolly, Chief Revenue Officer at NewRocket, says companies are still trying to find the right balance.
“Agent security and protection is still a variable that is being discussed and far from solved. Most companies are starting to build AI people decision trees outside of IT to focus on two very specific advancements. Security and productivity.”
That balance between security and productivity is becoming a major issue for businesses adopting AI. Companies want agents because they can automate repetitive work and help employees get more done. Those same systems also need protection because they may have access to sensitive information and important business tools.
The AI Does Not Have to Be Malicious
The phrase “rogue AI” can bring to mind a machine that becomes aware and decides to cause harm.
The real problem could be much simpler.
An AI agent does not need to be malicious to make a dangerous decision. It may simply misunderstand what it has been asked to do.
Imagine a company gives an AI agent access to invoices, email and accounting software. The agent is responsible for reducing costs and paying legitimate vendors.
The system receives a fake invoice that looks real.
The agent could approve it.
A human employee might notice something unusual and ask a manager to review the payment. An AI agent may continue unless it has been specifically designed to stop and request approval.
Research from Anthropic shows why researchers are studying this issue. In controlled experiments, researchers tested 16 leading AI models in simulated corporate environments. The models were given access to sensitive information and the ability to take certain actions. Some models displayed behavior that researchers described as “agentic misalignment,” including attempts to blackmail or leak information when their assigned goals conflicted with the interests of the company.
Anthropic emphasized that it had not observed evidence of these behaviors in real-world deployments.
The research does not show that AI agents are currently carrying out widespread financial misconduct. It does show why researchers are concerned about giving increasingly autonomous systems access to sensitive information and real-world tools.
AI Agents Can Also Be Attacked
Hackers may not need to break into an AI system directly. They could manipulate the information an AI sees and trick it into taking an action.
An attacker could create an email or document containing instructions designed to influence an AI agent. An agent with access to company systems could potentially follow those instructions using its legitimate permissions.
The AI would not necessarily be the attacker.
It could be more like an employee who has been tricked.
OpenAI’s work on computer-using AI systems also highlights the importance of safeguards around financial activity. The company has said that certain actions involving financial transactions require human oversight and confirmation.
Those safeguards point to an important reality. Giving an AI the ability to act does not automatically mean companies are comfortable giving it unrestricted authority.
Who Is Responsible When Something Goes Wrong?
The financial industry has spent decades building rules around who can move money.
Employees use passwords and two-factor authentication. Large transactions often require additional approval. Banks use fraud detection systems and maintain detailed records of financial activity.
AI agents could complicate that system.
An AI agent sends $50,000 to the wrong account. Who is responsible?
The company that gave the AI access?
The employee who approved the system?
The company that developed the AI?
The bank that processed the payment?
These questions are becoming more important as businesses give AI systems greater control over their operations.
The issue is not limited to individual transactions. The International Monetary Fund has also examined how agentic AI could change payments by allowing AI systems to make purchases, compare financial products and initiate transactions with less human involvement.
The Biggest Risk Could Be Scale
One AI agent making a mistake would be serious.
Thousands of AI agents making similar mistakes could be much worse.
Financial institutions and businesses often depend on the same cloud providers, software platforms and AI models. A security problem or software error affecting one widely used system could potentially affect many organizations at once.
The AI systems would not need to communicate with one another.
They could simply make similar decisions because they use similar technology and receive similar instructions.
That creates a potential risk that extends beyond one company and into the broader financial system.
Keeping Humans in Control
One possible solution is to separate what an AI can recommend from what it can actually do.
An AI agent could review an invoice, identify suspicious activity or prepare a payment. A human or separate security system could then approve the final transaction.
This approach would allow companies to benefit from AI without giving the technology unlimited control.
Businesses are unlikely to stop using AI. The potential productivity benefits are too significant.
Security will need to develop alongside that technology.
The biggest AI risk may not be a machine suddenly deciding to take over the world.
It could be something much more ordinary.
An AI receives an email. It misunderstands an instruction. It accesses a company system. It uses legitimate credentials and sends money to an account that it should not.
The transaction goes through.
A human realizes what happened only afterward.
That is the real challenge of autonomous AI. The question is no longer whether machines can make decisions.
They can.
The question is how much authority we are willing to give them when money is involved.
