AI carries security risks in banking, including being used by scammers to target financial information. Photo via Getty Images

With artificial intelligence technologies easily accessible and growing in popularity, consumers and business owners alike should be aware of both the benefits and risks when it comes to the utilization of generative AI tools in banking and finance. While data-driven AI creates the opportunity to further drive innovation in banking, the data-reliant nature of the industry makes it a natural target for scammers looking to intercept personal and business finances and sensitive customer information.

As banks and other financial service providers are using AI as a tool to scan for anomalies or errors that are known fraud techniques, criminals are using AI to improve their chances of perpetrating fraud. For this reason, consumers and businesses should guard their data with the same diligence used to guard cash and other valuable physical property.

Privacy and accuracy

For entrepreneurs and businesses of all sizes, it is important to keep in mind the practical applications of AI beyond the trending headlines, whether implementing the technology into everyday internal business practices, or into client-facing solutions.

When feeding information into AI, it is best to maintain a defensive position and be proactive about not disclosing sensitive or private information. Also, rely on sound judgment when deciding when and how to use AI technologies. From a business standpoint, privacy should be embedded into a financial system’s design and leaders should be transparent about the technologies used within a given system.

Technologies like ChatGPT are large language models operating on massive datasets, including documents and web pages across the internet. This poses a risk because some sources of this data lack accuracy. When seeking financial advice via AI technologies, it is best to conduct research by curating and limiting the dataset then talking through your unique financial position in person with your trusted banker and IT staff or consultants.

Phishing and business email compromise via AI

Historically, phishing and business email compromise, or BEC, attempts have been more easily recognizable and often flushed out due to grammatical errors and unnecessary punctuation. With technologies like ChatGPT, scammers are now better equipped to draft well written content that can fool a person into thinking a communication is legitimate. Phishing can lead to people clicking links or attachments that harbor malware or other viruses that can lead to account takeover. With BEC, a person might be fooled into thinking an email is from a legitimate person. Scams like these could potentially lead to the disclosing of sensitive information or accepting transaction instructions or changes, ultimately resulting in money being sent to a fraudster.

AI voice generators

AI voice generators can be used to mimic voices of anyone including bankers, C-suite leaders and customers. If a person is fooled into believing they have received a voicemail or are talking to a person they know, they may accept instructions from a fraudster like providing transaction approvals and sensitive or private information, resulting in fraud.

AI can also create fake identities, including AI-developed photos of individuals, and other false information. These fake identities could be used to create accounts for fraudulent purposes.

AI is here to stay

AI is forecasted to have a lasting impact on the banking industry. Whether on the business or consumer side of the spectrum, it will be important to embrace the innovation and enhancements generative AI will continue to produce, while maintaining a cautionary stance around protecting client and business information and finances. Fraud prevention practices will need to continue evolving alongside the fast-paced growth of generative AI in banking.

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Ken Smiley is treasury management division manager of Amegy Bank and a fraud protection expert.

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3 Houston innovators who made headlines in May 2025

Innovators to Know

Editor's note: Houston innovators are making waves this month with revolutionary VC funding, big steps towards humanoid robotics, and software that is impacting the agriculture sector. Here are three Houston innovators to know right now.

Zach Ellis, founder and partner of South Loop Ventures

Zach Ellis. Photo via LinkedIn

Zach Ellis Jr., founder and general partner of South Loop Ventures, says the firm wants to address the "billion-dollar blind spot" of inequitable distribution of venture capital to underrepresented founders of color. The Houston-based firm recently closed its debut fund for more than $21 million. Learn more.

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, center. Photo via LinkedIn.

Ty Audronis and his company, Tempest Droneworx, made a splash at SXSW Interactive 2025, winning the Best Speed Pitch award at the annual festival. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine. Audronis says his company won based on its merits and the impact it’s making and will make on the world, beginning with agriculture. Learn more.

Nicolaus Radford, CEO of Persona AI

Nicolaus Radford, founder and CEO of Nauticus RoboticsNicolaus Radford. Image via LinkedIn

Houston-based Persona AI and CEO Nicolaus Radford continue to make steps toward deploying a rugged humanoid robot, and with that comes the expansion of its operations at Houston's Ion. Radford and company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the building, with the expansion slated to begin in June. “We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” Radford says. Learn more.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”