Microsoft Copilot A.I CyberSecurity Scoring
15/06/2026
Access Monitoring Plan
Access Monitoring Plan
Microsoft Copilot has 183.02% more incidents than the average of same-industry companies with at least one recorded incident.
Microsoft Copilot has 180.37% more incidents than the average of all companies with at least one recorded incident.
Microsoft Copilot reported 3 incidents this year: 0 cyber attacks, 0 ransomware, 3 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
Baidu is a leading AI company with strong Internet foundation, driven by our mission to “make the complicated world simpler through technology”. Founded in 2000 as a search engine platform, we were an early adopter of artificial intelligence in 2010. Since then, we have established a full AI stack, from deep learning frameworks to models and applications, with industry-leading self-developed technology at every level. Over the past two decades, we have built a diversified portfolio of products and services, spanning an ecosystem of hundreds of millions of users, millions of developers, and hundreds of thousands of enterprises. We have now integrated our leading AI capabilities into our offerings, driving innovative use cases. Join us to shape the future of AI and technology. For media inquiries, contact us at [email protected]. For career opportunities, visit https://talent.baidu.com/static/index.html
With our unique ability to offer end-to-end solutions that connect the three pillars of IoT - Sensors, Software, and Services, we enable businesses to move from the traditional to the digital, or improve businesses by introducing a digital element in their products and processes. Now more than ever, companies across the world are becoming rapidly aware of the potential and impact of modern-day digital technologies on customers, people, and organisational processes. We aim to empower and translate this realisation into a new reality for enterprises, leveraging our in-depth understanding of global business complexities, the risk of disruption that digital technologies bring, and the technology thought leadership that we have built over decades of experience at Bosch. Founded in 1997, we are a 100% owned subsidiary of Robert Bosch GmbH, with over 35,000 associates across the globe. [Data protection notice: www.bosch-softwaretechnologies.com/en/terms-of-use/data-protection-notice/ ]
Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. It is a platform tailored for the region, providing customers with an easy, secure and fast online shopping experience through strong payment and logistical support. Shopee aims to continually enhance its platform and become the region’s e-commerce destination of choice via ongoing product optimisation and localised user-centered strategies. Shopee, a Sea company, was first launched in Singapore in 2015, and has since expanded its reach to Malaysia, Thailand, Taiwan, Indonesia, Vietnam and the Philippines. Sea is a leader in digital entertainment, e-commerce and digital financial services across Greater Southeast Asia. Sea's mission is to better the lives of consumers and small businesses with technology, and is listed on the NYSE under the symbol SE. The Shopee team is rapidly expanding across the region and we are constantly on the lookout for talents who have the passion and drive to become part of a fast-moving and dynamic team. Do check out our career website http://careers.shopee.com for our available positions!
Join us in our mission to help the world get well, help the world stay well, and help future generations be healthier. We hire smart and motivated people from all academic majors to code, test, and implement healthcare software that hundreds of millions of patients and doctors rely on to improve care and ultimately save lives around the globe. No healthcare experience is necessary; we'll train you to be an expert in health IT and we'll provide you with personal development classes to grow as a professional. Our expectations for you are high, but in healthcare so are the stakes.
We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is to unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. For support, visit the PayPal Help Center. https://payp.al/help For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time. NMLS#910457: https://nmlsconsumeraccess.org/
Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018 (1810.HK). Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core. Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology. Xiaomi is one of the world's leading smartphone companies. The company has also established the world’s leading consumer AIoT (AI+IoT) platform,reached 558 million smart devices connected to its platform (excluding smartphones,laptops and tablets) as of September 30 2022. Xiaomi products are present in more than 100 countries and regions around the world. In August 2022, Xiaomi was included in the Fortune Global 500 list for the fourth year in a row, ranking 266th. The company is the fastest-rising Chinese technology conglomerate during the four-year period. Xiaomi is a constituent of the Hang Seng Index, Hang Seng China Enterprises Index, Hang Seng TECH Index and Hang Seng China 50 Index.
DiDi Global Inc. is a leading mobility technology platform. It offers a wide range of app-based services across Asia Pacific, Latin America, and other global markets, including ride hailing, taxi hailing, designated driving, hitch and other forms of shared mobility as well as certain energy and vehicle services, food delivery, and intra-city freight services. DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry, and the communities to solve the world’s transportation, environmental, and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive, and sustainable transportation and local services ecosystem for cities of the future.
Latest updates, reports, and threat intel affecting the global network.
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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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