A dataset used to train large language models (LLMs) has been found to contain nearly 12,000 live secrets, which allow for successful authentication.
The findings once again highlight how hard-coded credentials pose a severe security risk to users and organizations alike, not to mention compounding the problem when LLMs end up suggesting insecure coding practices to their users.
Truffle Security said it downloaded a December 2024 archive from Common Crawl, which maintains a free, open repository of web crawl data. The massive dataset contains over 250 billion pages spanning 18 years.
Researchers discovered 49,000 misconfigured and exposed Access Management Systems (AMS) across multiple industries and countries, which could compromise privacy and physical security in critical sectors.
Access Management Systems are security systems that control employee access to buildings, facilities, and restricted areas via biometrics, ID cards, or license plates.
Security researchers at Modat conducted a comprehensive investigation in early 2025 and discovered tens of thousands of internet-exposed AMS that were not correctly configured for secure authentication, allowing anyone to access them.
Chiral-structural-color materials produce color through microscopic structures that interact with light rather than through pigmentation or dyes. Some beetle exoskeletons, avian feathers, butterfly wings, and marine organisms feature these structures naturally, producing iridescent or polarization-dependent colors. Over the last 10–15 years, scientists have made progress in developing artificial chiral-structural-color materials.
Recently, Chinese researchers have made a breakthrough in the field by discovering that microdomes made from common polymers exhibit tunable chiral structural colors with broad-spectrum capabilities and multiple polarization-modulated chirality. This advancement could have significant implications for applications in displays, sensors, and data security.
Published in PNAS, the study was led by Prof. Li Mingzhu’s team from the Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences.
Chinese researchers have allegedly made a major breakthrough in Quantum Secure Direct Communication (QSDC). According to reports, the team has developed a new communication protocol that allows secure data transmission using quantum mechanics principles, setting a world record for transmission speed and distance.
In case you are unaware, QSDC is a type of quantum communication that directly transmits information in quantum states (such as photons) without needing encryption keys like traditional methods (e.g., quantum key distribution or QKD).
Hollywood star Brad Pitt recently opened SINTEF’s conference on digital security. Well, actually, no, he didn’t. “I cloned his voice in less than three minutes,” says Viggo Tellefsen Wivestad, researcher at SINTEF Digital.
Wivestad began his talk on deepfake with himself on video, but as Brad, with his characteristic sexy voice: “Deepfake. Scary stuff, right?” And that is precisely the researcher’s message.
Deepfake will become a growing threat to us as both private individuals and employees, and to society at large. The technology is still in its infancy. Artificial intelligence is opening up unimaginable opportunities and becoming harder and harder to detect.
Additionally, their ability to penetrate various materials without harmful radiation makes them valuable for security screening, quality control in industries, and chemical sensing. However, until now, it has been challenging to harness the potential of these waves in electronic devices due to several technological limitations.
Finally, a new study from researchers at MIT reveals a chip-based solution that can overcome these limitations and make terahertz waves more accessible than ever.
Terahertz (THz) waves are affected by the dielectric constant, a measure of how well a material can store and slow down an electric field. The lower this constant is the smoother terahertz waves can pass through a material.
A worldwide MASS BAN of DeepSeek AI has just begun, and the implications are shocking! Governments, corporations, and AI regulators are now cracking down on one of the fastest-growing AI models, sparking intense debates about AI safety, censorship, and control. But why is DeepSeek AI being banned, and what does this mean for the future of artificial intelligence?
In this video, we break down why countries are banning DeepSeek AI, the real reasons behind this massive restriction, and what this means for the AI industry and everyday users. Is this about security risks, misinformation, or something even bigger? And how will OpenAI, Google, and other tech giants respond to this sudden AI crackdown?
With the AI revolution accelerating faster than governments can regulate, this global ban on DeepSeek could signal the beginning of tighter AI control worldwide. But is this about protecting people—or protecting power? Watch till the end to find out!
Why is DeepSeek AI being banned? What does this mean for the future of AI? Is this the start of global AI censorship? This video will answer all these questions and more—so don’t miss it!
Based on outstanding technical progress by research teams to date, DARPA has pivoted the third and final phase of its NOM4D (pronounced nō- mad) program[1] from planned further laboratory testing to conducting a pair of small-scale orbital demonstrations to evaluate novel materials and assembly processes in space.
As commercial space companies continue to expand access to orbit for U.S. economic and national security needs, a major roadblock for building large-scale structures in orbit remains: the size and weight limits imposed by a rocket’s cargo fairing. In 2022, DARPA introduced NOM4D to break this cargo-constraint mold by exploring a new paradigm. Instead of folding or compacting structures to fit them into a rocket fairing to be unfurled or deployed in space, DARPA proposed stowing novel lightweight raw materials in the rocket fairing that don’t need to be hardened for launch. The intent of this approach is to allow in-orbit construction of vastly larger and more mass-efficient structures than could ever fit in a rocket fairing. Additionally, this concept enables mass-efficient designs of structures that would sag under their own weight on Earth but are optimized for the low-gravity environment of space.
“Caltech [California Institute of Technology] and the University of Illinois Urbana-Champaign have demonstrated tremendous advances in the first two phases and have now partnered in Phase 3 with space-launch companies to conduct in-space testing of their novel assembly processes and materials,” said Andrew Detor, DARPA NOM4D program manager. “Originally, Phase 3 was going to be about making things more precisely in the lab than we did in Phase 2. But we said, ‘You know, the maturity is there, and there would be more impact if we took the capabilities we have now and actually go demonstrate them in space to show that it can be done.’ Pushing the performers to do a demo in space means they can’t just sweep challenges under the rug like they could in a lab. You better figure out how it’s going to survive in the space environment.”
In December 2022, a team at Lawrence Livermore National Lab’s National Ignition Facility (NIF) conducted the first controlled fusion experiment in history to reach scientific energy breakeven, producing more energy from fusion than the laser energy used to drive it. In that experiment, where 2.05 MJ of laser energy was delivered to the target, a fusion energy output of 3.15 MJ was achieved, a gain of 1.5. Since then, ignition has been repeated several times, with even higher gains achieved. This webinar will review the NIF – the world’s largest, most energetic laser; the latest experimental results; the scientific and technological advancements that made this breakthrough possible; and the implications for future research, particularly in how the achievement of ignition now lays the groundwork to explore laser inertial fusion as a path for clean energy and energy security.
The following topics will be presented: • Fusion. • Lawrence Livermore National Laboratory. • National Ignition Facility. • Ignition. • Energy. • Pilot plant.
