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Chuck Brooks is the president of Brooks Consulting International and one of Executive Mosaic’s GovCon Experts.
The United States is about to enter a new age of technical competitiveness where the rate of innovation and invention could have just as much of an impact on national security as the technology itself. Emerging technologies such as directed energy, biotechnology, autonomous systems, robotics, advanced manufacturing, artificial intelligence and quantum computing are developing concurrently and rapidly converging.
This convergence is posing a fundamental dilemma for the Department of War: Can the government organize itself to find, develop, buy and field new technology at the same rate as the business sector and America’s adversaries? A major reorganization of the Department’s research, technology and innovation ecosystem is starting to reveal the solution.
Dr. Jessica Dymond, Ph.D. — Vice President of Technology, In-Q-Tel.
The same technologies that could transform medicine, agriculture, and manufacturing could also reshape global security. Understanding the future of biotechnology requires scientists who can bridge discovery, engineering, and responsibility.
Today on Progress, Potential, and Possibilities, we’re joined by a true pioneer at the nexus of biotechnology and national security. Dr. Jessica Dymond, Ph.D is the Vice President of Technology at In-Q-Tel (https://www.iqt.org/), a not-for-profit venture fund that invests in companies advancing the strategic priorities of U.S. Intelligence Community, where she provides technical and strategic leadership to accelerate emerging biotechnologies that address some of the most critical challenges to national and global security.
Before In-Q-Tel, Dr. Dymond served as Chief Scientist for Physical and Life Sciences at the Johns Hopkins University Applied Physics Laboratory, where she led an interdisciplinary portfolio spanning biological sensing, genomic surveillance, microbiome engineering, and synthetic biology. She founded the Lab’s Biological Sciences group and spearheaded initiatives to anticipate, assess, and mitigate emerging biological threats while strengthening global health security.
Formally trained as a synthetic biologist, Dr. Dymond earned her Ph.D. from the Johns Hopkins University School of Medicine, completed a postdoctoral fellowship in functional genomics at the U.S. Department of Agriculture, and has contributed to groundbreaking research, including the design of synthetic yeast genomes and combinatorial genomic diversity. She also serves on the editorial board of Synthetic Biology from Oxford University Press.
A new pathway has opened for controlling the rotation direction of light simply by changing how molecules are arranged, without having to synthesize complex new materials. Circularly polarized light is a special form of light that travels while rotating like a pinwheel to the left or right. Because different rotation directions can carry different information, it is drawing attention as a key light source for next-generation displays, optical communications and security technologies.
KAIST researchers have developed a platform technology that arranges symmetric molecules into “microscopic pinwheels,” enabling circularly polarized light with a desired rotation direction. The research results were published in the Nature Communications.
Researchers proved that malicious SIM card attacks can execute attacker code inside the cellular modems running EV chargers, industrial routers, and telematics units. Six of eight tested industrial modules accepted the command. No mandatory patch exists yet, only a scattered, vendor-by-vendor response.
Malicious SIM card attacks just moved from theory to demonstrated fact for industrial hardware. Cellular IoT connections are on pace to reach 5.4 billion worldwide in 2026, according to IoT Analytics, and the module makers behind a large share of that growth just received a public lesson in a 40-year-old blind spot.
The vulnerability traces back to Proactive SIM, a legitimate cellular specification that lets a SIM card send commands directly to a device’s modem instead of only answering its requests. One of those commands, RUN AT, tells the modem to execute an AT command, the same control language used to operate modems since the 1980s, according to researchers from the University of Birmingham and security firm Fuzzware who presented the findings at the 2026 USENIX WOOT Conference in Baltimore. Using a custom toolkit called CATana, the team tested 26 devices: 18 smartphones and 8 cellular IoT modules used in EV chargers, industrial equipment, and connected cars.
Enterprises are pouring $2.59 trillion into AI in 2026, but most of that budget assumes agents will behave. AI agent security risks now center on permissions and identity, not intelligence, and the average agent-linked breach costs $4.7 million. Procurement teams still aren’t asking the one question that would catch it before signing.
AI agent security risks have overtaken model accuracy as the top worry inside enterprise IT departments this year. Global AI spending is on track to hit $2.59 trillion in 2026, a 47% jump from 2025, according to Gartner’s May forecast. A growing share of that money is going toward systems that act on their own rather than just answer questions. The uncomfortable part: most of the AI agent security risks now showing up in production weren’t designed against. They were inherited from a rush to deploy.
Most agents ship with more access than the task requires, because narrow permissions slow deployment down. A support agent built to retrieve ticket history often keeps the ability to edit records or export data long after launch, according to enterprise security researchers at miniOrange. Nobody revokes it because nobody owns that job. This is where most AI agent security risks actually begin, quietly, at the setup stage, long before any attacker gets involved.
The field of multi-omics has witnessed unprecedented growth, converging multiple scientific disciplines and technological advances. This surge is evidenced by a more than doubling in multi-omics scientific publications within just two years (2022–2023) since its first referenced mention in 2002, as indexed by the National Library of Medicine. This emerging field has demonstrated its capability to provide comprehensive insights into complex biological systems, representing a transformative force in health diagnostics and therapeutic strategies. However, several challenges are evident when merging varied omics data sets and methodologies, interpreting vast data dimensions, streamlining longitudinal sampling and analysis, and addressing the ethical implications of managing sensitive health information. This review evaluates these challenges while spotlighting pivotal milestones: the development of targeted sampling methods, the use of artificial intelligence in formulating health indices, the integration of sophisticated n-of-1 statistical models such as digital twins, and the incorporation of blockchain technology for heightened data security. For multi-omics to truly revolutionize healthcare, it demands rigorous validation, tangible real-world applications, and smooth integration into existing healthcare infrastructures. It is imperative to address ethical dilemmas, paving the way for the realization of a future steered by omics-informed personalized medicine.
A LAW to protect vulnerable citizens in one US state has gone into effect this week.
Colorado banks and credit unions can begin freezing suspicious transactions under a new law designed to protect older and vulnerable residents from financial scams.
The Adults’ Security and Safeguards from Exploitations in Transactions Act, or ASSET Act, came into effect on August 12.
If individual synapses were the sole key to holding onto memories, this sudden structural “demolition” should have erased everything the mice learned. Remarkably, it didn’t. Once the mice woke up and recovered, their memories were completely intact.
The Power Clusters: The synapses connecting “memory-encoding” neurons (the specific cells storing the memory) weren’t randomly scattered. Instead, they were organized into tightly bound, spatially clustered groups. When hibernation wiped out standard synapses, the brain prioritized protecting these specialized clusters.
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