Baltic Brand A.I CyberSecurity Scoring
02/12/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Baltic Brand in 2026.
No incidents recorded for Baltic Brand in 2026.
No incidents recorded for Baltic Brand in 2026.
Politecnico Milano is a scientific-technological university which trains engineers, architects and designers. The University has always focused on the quality and innovation of its teaching and research, developing a fruitful relationship with business and productive world by means of experimental research and technological transfer. Research has always been linked to didactics and is a priority commitment which has allowed Politecnico Milano to achieve high quality results at an international level as to join the university to the business world. Research constitutes a parallel path to that formed by cooperation and alliances with the industrial system. Knowing the world in which you are going to work is a vital requirement for training students. By referring back to the needs of the industrial world and public administration, research is facilitated in following new paths and dealing with the need for constant and rapid innovation. The alliance with the industrial world, also favored by Fondazione Politecnico and by consortiums to which Politecnico belongs, allows the university to follow the vocation of the territories in which it operates and to be a stimulus for their development. The challenge which is being met today projects this tradition which is strongly rooted in the territory beyond the borders of the country, in a relationship which is developing first of all at the European level with the objective of contributing to the creation of a single professional training market. Politecnico takes part in several research, sites and training projects collaborating with the most qualified European universities. Politecnico's contribution is increasingly being extended to other countries: from North America to Southeast Asia to Eastern Europe. Today the drive to internationalization sees Politecnico take part in the European and world network of leading technical universities and offers several beside many which are entirely taught in English.
Los Alamos National Laboratory is one of the world’s most innovative multidisciplinary research institutions. We're engaged in strategic science on behalf of national security to ensure the safety and reliability of the U.S. nuclear stockpile. Our workforce specializes in a wide range of progressive science, technology and engineering across many exciting fields, including space exploration, geophysics, renewable energy, supercomputing, medicine and nanotechnology.
The Chinese Academy of Sciences (CAS) is the lead national scientific institution in natural sciences and high technology development in China and the country's supreme scientific advisory body. It incorporates three major parts: a comprehensive research and development network consisting of 104 research institutes, a traditional merit-based national academy as represented by its Academic Divisions and a system of higher education based on its affiliated 3 universities and the support of its research institutes. CAS has served as the major national strategic research force since founding in November 1949 and has left its deep footprints in Chinese S&T and the overall development of China's national innovation system.
The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future. The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research. The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union). The CEA had a budget of 4,3 billion euros. The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.
Our university combines top-class facilities for cutting-edge research with unique learning opportunities for 52,000 students. Whether our researchers are investigating the origins of life, matter and the universe or looking for solutions to the major challenges for our society, people lie at the heart of our research and innovation agenda. Our goal is to create lasting value for society through excellence in education and research, the active promotion of next-generation talents and a strong entrepreneurial spirit. All of which combine to make TUM one of Europe’s leading universities. | Imprint: http://www.tum.de/legal-notice
The PPD™ clinical research business of Thermo Fisher Scientific, the world leader in serving science, enables customers to accelerate innovation and drug development through patient-centered strategies and data analytics. Our services, which span multiple therapeutic areas, include early development, all phases of clinical development, peri- and post-approval, patient recruitment, investigator sites and comprehensive laboratory services. As a global industry leader, we offer custom solutions to pharma, biotech, medical device, and government organizations, leveraging cutting-edge technology and therapeutic expertise to help customers deliver life-changing therapies.
The French National Centre for Scientific Research is among the world's leading research institutions. Its scientists explore the living world, matter, the Universe, and the functioning of human societies in order to meet the major challenges of today and tomorrow. Internationally recognised for the excellence of its scientific research, the CNRS is a reference in the world of research and development, as well as for the general public.
The University of Amsterdam is one of the largest comprehensive universities in Europe. With some 44,000 students, 6,000 staff, 3,000 PhD candidates, and an annual budget of more than 850 million euros, it is also one of Amsterdam’s biggest employers. There is an inseparable link between the university and its host city. The freedom and creativity with which Amsterdam has long been associated have worked their way into the fabric of the university. This is a place where individuality, authenticity and diversity are celebrated as sources of stimulation, inspiration and innovation. Professional and personal development, challenges and collaboration are undertaken in a versatile and multidimensional (inter)national ecosystem with leading stakeholders. Staff at the UvA make a meaningful contribution to uncovering solutions to some of the world’s most significant problems and to developing the next generation of talent.
UCL (University College London) is London's leading multidisciplinary university, ranked 9th in the QS World University Rankings. Established in 1826 UCL opened up education in England for the first time to students of any race, class or religion and was also the first university to welcome female students on equal terms with men. Today UCL is made up of remarkable people: eminent professors and exceptional students. Academic excellence and conducting research that addresses real-world problems inform our ethos to this day. To see more photos of UCL you can visit our Flickr Gallery: www.flickr.com/photos/uclnews/sets/ To view videos of UCL and our work, you can subscribe to our YouTube Channel: http://www.youtube.com/user/UCLTV Looking for a job at UCL? Find out more about working with us and view the latest vacancies: https://www.ucl.ac.uk/jobs
Latest updates, reports, and threat intel affecting the global network.
India Business News: A Russian crude oil tanker bound for India has altered its course and is now stationary in the Baltic Sea.
Baltic data centre group Delska has expanded its infrastructure capacity as AI workloads push power requirements of up to 250kW per rack.
The threat of state-sponsored malicious activity targeting submarine cable infrastructure is likely to rise further amid heightened geopolitical tensions.
A technology platform servicing financial technology companies fell victim to a cyberattack that exposed sensitive end-user data.
Lithuanian startup Nord Security has raised 100 million dollars in a funding round. This values the company at 1.6. billion dollars.
Lithuania's National Cyber Security Center said it found four major cybersecurity risks for devices made by Huawei and Xiaomi.
As sectors continue to grow more dependent on data flows, cybersecurity threats are becoming a bigger priority for the United States and the...
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.
vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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