Prudential Financial A.I CyberSecurity Scoring
01/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Prudential Financial in 2026.
No incidents recorded for Prudential Financial in 2026.
No incidents recorded for Prudential Financial in 2026.
Piramal Finance Limited (Formerly known as Piramal Capital & Housing Finance Limited), is engaged in financial services business. It provides both wholesale and retail funding opportunities within real estate and non-real estate sectors. We value your feedback, queries, and requests and always look for ways to enhance your experience. Our team is here to support you from Monday to Saturday between 10 AM to 7 PM. Feel free to call us at 1800 266 6444. Disclaimer: Please be cautious of fraudulent messages claiming to offer jobs or loans while impersonating Piramal Group on messaging platforms. It's important to note that we exclusively communicate through official channels. Should you encounter any suspicious messages, kindly disregard them and block the sender.
At Chase, we’re dedicated to helping you succeed. Whether you’re in need of banking, credit cards, mortgages, auto financing, investment guidance, small business support, or payment solutions, we’re beside you every step of the way. For customer service, contact us via chase.com/customerservice. See full social media terms and conditions at chase.com/socialterms. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.
ICE (NYSE: ICE) connects people to data, technology and expertise that create opportunity and inspire innovation. For terms of use, visit www.ice.com/privacy-security-center/terms-of-use
Sun Life is a leading financial services organization dedicated to helping people achieve lifetime financial security and live healthier lives. We provide a wide range of insurance and investment products and services in key markets around the world including Canada, the United States, the United Kingdom, Hong Kong, the Philippines and Indonesia. At Sun Life, we have more than 34,000 employees and 112,900 advisors worldwide. Websites: Canada www.sunlife.ca/en/ US www.sunlife.com/us/en/ Vietnam www.sunlife.com.vn Hong Kong www.sunlife.com.hk Indonesia www.sunlife.co.id Malaysia www.sunlife.com.my Philippines www.sunlife.com.ph
Since 1820, Swedbank has been the bank for the many households and businesses. We are a modern financial services platform focused on customer satisfaction. Our goal is to encourage people to save for a better future, and we aim to help people, businesses and society to grow by promoting a healthy and sustainable economy. As an equal opportunity employer, we believe that diversity and equality help us to grow and achieve our goals. We encourage a culture built on trust, respect and our values - open, simple and caring. With 7.4 million private customers and more than 600,000 corporate and organisational customers, we have a leading position in our home markets of Sweden, Estonia, Latvia and Lithuania. This position also enables us to offer our employees great opportunities to grow and develop. Working here is about creating value for our customers, our colleagues and society. Inspiring and learning from one another is what moves us forward, and by working together, we make a difference. Find our policy for social media here: www.swedbank.se/om-oss/policy-fb
Barclays is a British universal bank. Our vision is to be the UK-centred leader in global finance. We are a diversified bank with comprehensive UK consumer, corporate and wealth and private banking franchises, a leading investment bank and a strong, specialist US consumer bank. Through these five divisions, we are working together for a better financial future for our customers, clients and communities. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide. Barclays is a trading name of Barclays Bank PLC and its subsidiaries. Barclays Bank PLC is registered in England and is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority. Registered in England. Registered No. 1026167. Registered office: 1 Churchill Place, London E14 5HP.
MUFG (Mitsubishi UFJ Financial Group) is one of the world's leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,100 locations in more than 40 markets including the Americas, Europe, the Middle East and Africa, Asia and Oceania. The Group has over 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. Through close partnerships among our group companies, the Group aims to be the world's most trusted financial group, flexibly responding to all of the financial needs of its customers, serving society, and fostering shared and sustainable growth for a better world. MUFG's shares trade on the Tokyo, Nagoya, and New York stock exchanges. Watch our profile video: https://youtu.be/htyOjA1H6bQ Details of MUFG's Group companies can be found at the following websites: http://www.bk.mufg.jp/global http://www.tr.mufg.jp/english https://mufgamericas.com https://www.mufgemea.com http://www.hd.sc.mufg.jp/english ©2024Mitsubishi UFJ Financial Group, Inc. All rights reserved. The MUFG logo and name is a service mark of Mitsubishi UFJ Financial Group, Inc.
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
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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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