Houston expert discusses AI use in banking and phishing scams

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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 scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

Axiom Space wins NASA contract for fifth private mission, lands $350M in financing

ready for takeoff

Editor's note: This story has been updated to include information about Axiom's recent funding.

Axiom Space, a Houston-based space infrastructure company that’s developing the first commercial space station, has forged a deal with NASA to carry out the fifth civilian-staffed mission to the International Space Station.

Axiom Mission 5 is scheduled to launch in January 2027, at the earliest, from NASA’s Kennedy Space Center in Florida. The crew of non-government astronauts is expected to spend up to 14 days docked at the International Space Station (ISS). Various science and research activities will take place during the mission.

The crew for the upcoming mission hasn’t been announced. Previous Axiom missions were commanded by retired NASA astronauts Michael López-Alegría, the company’s chief astronaut, and Peggy Whitson, the company’s vice president of human spaceflight.

“All four previous [Axiom] missions have expanded the global community of space explorers, diversifying scientific investigations in microgravity, and providing significant insight that is benefiting the development of our next-generation space station, Axiom Station,” Jonathan Cirtain, president and CEO of Axiom, said in a news release.

As part of Axiom’s new contract with NASA, Voyager Technologies will provide payload services for Axiom’s fifth mission. Voyager, a defense, national security, and space technology company, recently announced a four-year, $24.5 million contract with NASA’s Johnson Space Center in Houston to provide mission management services for the ISS.

Axiom also announced today, Feb. 12, that it has secured $350 million in a financing round led by Type One Ventures and Qatar Investment Authority.

The company shared in a news release that the funding will support the continued development of its commercial space station, known as Axiom Station, and the production of its Axiom Extravehicular Mobility Unit (AxEMU) under its NASA spacesuit contract.

NASA awarded Axiom a contract in January 2020 to create Axiom Station. The project is currently underway.

"Axiom Space isn’t just building hardware, it’s building the backbone of humanity’s next era in orbit," Tarek Waked, Founding General Partner at Type One Ventures, said in a news release. "Their rare combination of execution, government trust, and global partnerships positions them as the clear successor-architect for life after the ISS. This is how the United States continues to lead in space.”

Houston edtech company closes oversubscribed $3M seed round

fresh funding

Houston-based edtech company TrueLeap Inc. closed an oversubscribed seed round last month.

The $3.3 million round was led by Joe Swinbank Family Limited Partnership, a venture capital firm based in Houston. Gamper Ventures, another Houston firm, also participated with additional strategic partners.

TrueLeap reports that the funding will support the large-scale rollout of its "edge AI, integrated learning systems and last-mile broadband across underserved communities."

“The last mile is where most digital transformation efforts break down,” Sandip Bordoloi, CEO and president of TrueLeap, said in a news release. “TrueLeap was built to operate where bandwidth is limited, power is unreliable, and institutions need real systems—not pilots. This round allows us to scale infrastructure that actually works on the ground.”

True Leap works to address the digital divide in education through its AI-powered education, workforce systems and digital services that are designed for underserved and low-connectivity communities.

The company has created infrastructure in Africa, India and rural America. Just this week, it announced an agreement with the City of Kinshasa in the Democratic Republic of Congo to deploy a digital twin platform for its public education system that will allow provincial leaders to manage enrollment, staffing, infrastructure and performance with live data.

“What sets TrueLeap apart is their infrastructure mindset,” Joe Swinbank, General Partner at Joe Swinbank Family Limited Partnership, added in the news release. “They are building the physical and digital rails that allow entire ecosystems to function. The convergence of edge compute, connectivity, and services makes this a compelling global infrastructure opportunity.”

TrueLeap was founded by Bordoloi and Sunny Zhang and developed out of Born Global Ventures, a Houston venture studio focused on advancing immigrant-founded technology. It closed an oversubscribed pre-seed in 2024.

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