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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Houston neighbor named richest small town in Texas for 2025

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Affluent Houston neighbor Bellaire is cashing in as the richest small town in Texas for 2025, according to new study from GoBankingRates.

The report, "The Richest Small Town in Every State," used data from the U.S. Census Bureau's American Community Survey to determine the 50 richest small towns in America based on their median household income.

Of course, Houstonians realize that describing Bellaire as a "small town" is a bit of misnomer. Located less than 10 miles from downtown and fully surrounded by the City of Houston, Bellaire is a wealthy enclave that boasts a population of just over 17,000 residents. These affluent citizens earn a median $236,311 in income every year, which GoBankingRates says is the 11th highest household median income out of all 50 cities included in the report.

The average home in this city is worth over $1.12 million, but Bellaire's lavish residential reputation often attracts properties with multimillion-dollar price tags.

Bellaire also earned a shining 81 livability score for its top quality schools, health and safety, commute times, and more. The livability index, provided by Toronto, Canada-based data analytics and real estate platform AreaVibes, said Bellaire has "an abundance of exceptional local amenities."

"Among these are conveniently located grocery stores, charming coffee shops, diverse dining options and plenty of spacious parks," AreaVibes said. "These local amenities contribute significantly to its overall appeal, ensuring that [residents'] daily needs are met and offering ample opportunities for leisure and recreation."

Earlier in 2025, GoBankingRates ranked Bellaire as the No. 23 wealthiest suburb in America, and it's no stranger to being named on similar lists comparing the richest American cities.

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This article originally appeared on CultureMap.com.

How a Houston startup is taking on corrosion, a costly climate threat

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Corrosion is not something most people think about, but for Houston's industrial backbone pipelines, refineries, chemical plants, and water infrastructure, it is a silent and costly threat. Replacing damaged steel and overusing chemicals adds hundreds of millions of tons of carbon emissions every year. Despite the scale of the problem, corrosion detection has barely changed in decades.

In a recent episode of the Energy Tech Startups Podcast, Anwar Sadek, founder and CEO of Corrolytics, explained why the traditional approach is not working and how his team is delivering real-time visibility into one of the most overlooked challenges in the energy transition.

From Lab Insight to Industrial Breakthrough

Anwar began as a researcher studying how metals degrade and how microbes accelerate corrosion. He quickly noticed a major gap. Companies could detect the presence of microorganisms, but they could not tell whether those microbes were actually causing corrosion or how quickly the damage was happening. Most tests required shipping samples to a lab and waiting months for results, long after conditions inside the asset had changed.

That gap inspired Corrolytics' breakthrough. The company developed a portable, real-time electrochemical test that measures microbial corrosion activity directly from fluid samples. No invasive probes. No complex lab work. Just the immediate data operators can act on.

“It is like switching from film to digital photography,” Anwar says. “What used to take months now takes a couple of hours.”

Why Corrosion Matters in Houston's Energy Transition

Houston's energy transition is a blend of innovation and practicality. While the world builds new low-carbon systems, the region still depends on existing industrial infrastructure. Keeping those assets safe, efficient, and emission-conscious is essential.

This is where Corrolytics fits in. Every leak prevented, every pipeline protected, and every unnecessary gallon of biocide avoided reduces emissions and improves operational safety. The company is already seeing interest across oil and gas, petrochemicals, water and wastewater treatment, HVAC, industrial cooling, and biofuels. If fluids move through metal, microbial corrosion can occur, and Corrolytics can detect it.

Because microbes evolve quickly, slow testing methods simply cannot keep up. “By the time a company gets lab results, the environment has changed completely,” Anwar explains. “You cannot manage what you cannot measure.”

A Scientist Steps Into the CEO Role

Anwar did not plan to become a CEO. But through the National Science Foundation's ICorps program, he interviewed more than 300 industry stakeholders. Over 95 percent cited microbial corrosion as a major issue with no effective tool to address it. That validation pushed him to transform his research into a product.

Since then, Corrolytics has moved from prototype to real-world pilots in Brazil and Houston, with early partners already using the technology and some preparing to invest. Along the way, Anwar learned to lead teams, speak the language of industry, and guide the company through challenges. “When things go wrong, and they do, it is the CEO's job to steady the team,” he says.

Why Houston

Relocating to Houston accelerated everything. Customers, partners, advisors, and manufacturing talent are all here. For industrial and energy tech startups, Houston offers an ecosystem built for scale.

What's Next

Corrolytics is preparing for broader pilots, commercial partnerships, and team growth as it continues its fundraising efforts. For anyone focused on asset integrity, emissions reduction, or industrial innovation, this is a company to watch.

Listen to the full conversation with Anwar Sadek on the Energy Tech Startups Podcast to learn more:

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

This article originally appeared on our sister site, EnergyCapitalHTX.com.

These 50+ Houston scientists rank among world’s most cited

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Fifty-one scientists and professors from Houston-area universities and institutions were named among the most cited in the world for their research in medicine, materials sciences and an array of other fields.

The Clarivate Highly Cited Researchers considers researchers who have authored multiple "Highly Cited Papers" that rank in the top 1percent by citations for their fields in the Web of Science Core Collection. The final list is then determined by other quantitative and qualitative measures by Clarivate's judges to recognize "researchers whose exceptional and community-wide contributions shape the future of science, technology and academia globally."

This year, 6,868 individual researchers from 60 different countries were named to the list. About 38 percent of the researchers are based in the U.S., with China following in second place at about 20 percent.

However, the Chinese Academy of Sciences brought in the most entries, with 258 researchers recognized. Harvard University with 170 researchers and Stanford University with 141 rounded out the top 3.

Looking more locally, the University of Texas at Austin landed among the top 50 institutions for the first time this year, tying for 46th place with the Mayo Clinic and University of Minnesota Twin Cities, each with 27 researchers recognized.

Houston once again had a strong showing on the list, with MD Anderson leading the pack. Below is a list of the Houston-area highly cited researchers and their fields.

UT MD Anderson Cancer Center

  • Ajani Jaffer (Cross-Field)
  • James P. Allison (Cross-Field)
  • Maria E. Cabanillas (Cross-Field)
  • Boyi Gan (Molecular Biology and Genetics)
  • Maura L. Gillison (Cross-Field)
  • David Hong (Cross-Field)
  • Scott E. Kopetz (Clinical Medicine)
  • Pranavi Koppula (Cross-Field)
  • Guang Lei (Cross-Field)
  • Sattva S. Neelapu (Cross-Field)
  • Padmanee Sharma (Molecular Biology and Genetics)
  • Vivek Subbiah (Clinical Medicine)
  • Jennifer A. Wargo (Molecular Biology and Genetics)
  • William G. Wierda (Clinical Medicine)
  • Ignacio I. Wistuba (Clinical Medicine)
  • Yilei Zhang (Cross-Field)
  • Li Zhuang (Cross-Field)

Rice University

  • Pulickel M. Ajayan (Materials Science)
  • Pedro J. J. Alvarez (Environment and Ecology)
  • Neva C. Durand (Cross-Field)
  • Menachem Elimelech (Chemistry and Environment and Ecology)
  • Zhiwei Fang (Cross-Field)
  • Naomi J. Halas (Cross-Field)
  • Jun Lou (Materials Science)
  • Aditya D. Mohite (Cross-Field)
  • Peter Nordlander (Cross-Field)
  • Andreas S. Tolias (Cross-Field)
  • James M. Tour (Cross-Field)
  • Robert Vajtai (Cross-Field)
  • Haotian Wang (Chemistry and Materials Science)
  • Zhen-Yu Wu (Cross-Field)

Baylor College of Medicine

  • Nadim J. Ajami (Cross-Field)
  • Biykem Bozkurt (Clinical Medicine)
  • Hashem B. El-Serag (Clinical Medicine)
  • Matthew J. Ellis (Cross-Field)
  • Richard A. Gibbs (Cross-Field)
  • Peter H. Jones (Pharmacology and Toxicology)
  • Sanjay J. Mathew (Cross-Field)
  • Joseph F. Petrosino (Cross-Field)
  • Fritz J. Sedlazeck (Biology and Biochemistry)
  • James Versalovic (Cross-Field)

University of Houston

  • Zhifeng Ren (Cross-Field)
  • Yan Yao (Cross-Field)
  • Yufeng Zhao (Cross-Field)
  • UT Health Science Center Houston
  • Hongfang Liu (Cross-Field)
  • Louise D. McCullough (Cross-Field)
  • Claudio Soto (Cross-Field)

UTMB Galveston

  • Erez Lieberman Aiden (Cross-Field)
  • Pei-Yong Shi (Cross-Field)

Houston Methodist

  • Eamonn M. M. Quigley (Cross-Field)