UTSI's advisory board digs into cybersecurity's challenges, trends + tech

From The Board

Courtesy photo

In today's digital landscape, the convergence of Information Technology (IT) and Operational Technology (OT) presents both opportunities and challenges for critical infrastructure asset owners and operators.

UTSI, a leading systems integrator of OT technology, has assembled an OT Cybersecurity Advisory Board to address these challenges and highlight standard processes and best practices to evaluate and secure these environments.

“We are excited about the strength of our esteemed Advisory Board and are confident that these strategic alliances will enhance our competitiveness,” says Shaun Six, president of UTSI International.

A few of the drivers of OT and IT convergence include increased efficiency, enhanced data, and improved remote monitoring and control capabilities. It exists to promote the promise of connectivity, data visualization, and to enable AI and better decision-making.

Key challenges
However, there are challenges. Increased attack surface, legacy systems, and infrastructure, as well as differing security requirements and regulatory and compliance challenges are all present.

“As we witnessed our global infrastructure recover from the largest outage on July 19, this is a clear and present example of how the application of technology between IT/OT can have an impact on the underlying interdependencies in critical systems and infrastructure," says Cherise Esperaza, co-founder and president of Security Gate. "Therefore, there is an ever-increasing need for resources to be expended for this endeavor, and understanding the areas of risk alongside business outcomes as it relates to the convergence will be a critical to ensuring optimal availability of these systems.”

Increased monitoring

When it comes to security monitoring and incident response, it's vital to incorporate new tools to monitor, meeting the same standards as legacy assets and reporting vulnerabilities.

"Continuous monitoring is one of the most critical aspects of securing your IT/OT infrastructure," offers Eric Rippetoe, former CISO of Federal Energy Regulatory Commission and UTSI cybersecurity consultant. "Automated tools coupled with mature processes allow organizations to rapidly detect security threats and enable teams to quickly respond to address issues. Having a security incident and not knowing about it could result in huge remediation costs and major long-term reputational damage."

Emerging technology and trends
With the rise of AI, it makes sense now more than ever to follow the principle of "never trust, always verify." A Zero Trust architecture is a strategic approach to cybersecurity that secures an organization by eliminating implicit trust and continuously validating every stage of a digital interaction.

In line with this approach, UTSI International Corporation, as a Gold Partner of ThreatGEN, has been intensively utilizing ThreatGEN's AutoTableTop™ incident response tabletop exercise simulation tool. This advanced technology is helping UTSI provide meaningful tabletop exercises to their client base, particularly in high-risk SCADA and OT environments.

Clint Bodungen, president of ThreatGEN, emphasizes the tool's significance: "This tool is designed to sharpen incident response capabilities for teams operating in critical SCADA and OT environments. In these high-stakes settings, where system availability is paramount and the consequences of failure can be catastrophic, AutoTableTop™ provides an unparalleled platform for realistic, AI-driven tabletop exercises. It allows teams to practice and refine their responses to a wide range of scenarios, with practically zero planning time required, ensuring they're prepared for the unique challenges posed by industrial control systems where even a minor slip-up could have deadly consequences. This application of advanced simulation technology aligns with the industry's move towards more robust and realistic cybersecurity training, especially in sectors where the stakes are exceptionally high."

In conclusion
The convergence of IT and OT presents significant cybersecurity challenges for critical infrastructure. However, by understanding these challenges and implementing effective strategies, organizations can protect their essential systems from cyber threats.

“Maintaining an accurate inventory of assets poses a significant challenge for companies with control system networks," says Derek Harp, chairman, Control System Cyber Security Association International. "As outlined in our 2024 OT Cybersecurity Technology Report, not only is it difficult to identify these assets, but understanding their communication adds an additional layer of complexity. Typically, companies only gain a snapshot of their OT network status and assets' interactions during periodic assessments. Not surprisingly, our research also indicates that the frequency of these critical evaluations is increasing.”

The role of UTSI's OT Cybersecurity Advisory Board, along with the use of advanced tools like Security Gate and ThreatGEN, is pivotal in navigating this complex landscape. As the threat landscape continues to evolve, proactive measures and ongoing investment in cybersecurity will be crucial to safeguarding our most critical assets.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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