CGS Romania A.I CyberSecurity Scoring
10/12/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for CGS Romania in 2026.
No incidents recorded for CGS Romania in 2026.
No incidents recorded for CGS Romania in 2026.
Majorel has been acquired by TP allowing us to deliver even more exceptional services in more locations worldwide and on a greater scale than ever before. We deliver the most advanced, digitally-powered business services to help the world’s best brands streamline their business in meaningful and sustainable ways. The combination of our leading business services companies makes TP the industry leader, more capable than ever of delivering critical solutions and the support you need. Let’s master change together!
Konecta is a leading innovative global service provider in customer management business process outsourcing, with 120,000 passionate employees working in 30 languages across 4 continents and 26 countries. Focusing on the unique needs and opportunities of each industry, Konecta offers a full range of end-to-end customer management solutions – including acquisition, retention, customer service, technical support, and collection – all based on a sustainable business model. These services are built on a portfolio of world-class expertise covering customer experience and process management, digital solutions and cutting-edge technologies. Headquartered in Madrid, Konecta delivers global revenues of approximately €2 billion with more than 500 clients, covering some of the biggest names in telecoms, energy, banking, mobility, retail, and e-commerce.
We established our back office here in Pakistan back in 2016 after which we have been providing complete support to our registered office in Florida. Our main aim has been to function as an effective thirdparty service provider in order to maintain beneficial relationships with multiple US based clients.Our sole focus has always been to deliver our best in an efficient and timely manner. We make sure that we develop a relationship of trust with our clients so that they can highly improve their business performance and shareholder value, at the same time reducing their costs to a greater extent. We function to cater businesses unique needs for multiple industries such as accounting, e‐commerce, pharmaceuticals, telecommunications and more. A highly committed, multi‐talented and energetic team is the sole reason we have been able to offer solutions to complex problems within a specified timeframe so that our clients’ needs and requirements are completely fulfilled with complete satisfaction.
Sempre inovador, o Grupo Souza Lima desenvolve soluções completas e híbridas, que realmente funcionam, em serviços de Segurança, Limpeza e Facilities. Essas soluções já são realidade para clientes Souza Lima e integram colaboradores treinados com tecnologia avançada para otimizar recursos e melhorar a performance nos segmentos de indústrias, shoppings, condomínios, instituições de ensino e de saúde, entre diversas outras empresas. Com mais de 30 anos de mercado e atuação nacional, conta com mais de 30.000 colaboradores, 2000 clientes e 22 filiais em 14 estados.
ResultsCX is a leading provider of transformational Customer Experience Management (CXM) solutions to 75+ global brands, including Fortune 100 and 500 companies. For 30+ years, we have been driving superior customer and business outcomes for brands across Healthcare, Media, Telecom, Fast Growth technology, Retail, Banking and Financial Services, and other industries. Our award-winning approach helps brands prioritize investments and build digitally influenced customer journeys, creating high-value impact across three areas: Revenue Acceleration, Cost Optimization, and Enhanced Experience. Supported by 23,000+ colleagues and 25+ engagement hubs worldwide, our innovative solutions and services solve persistent customer experience challenges, making life easier for millions of consumers.
We’re TTEC (pronounced t.tec). For over 40 years we have been obsessed with one thing: Helping the world’s best brands deliver exceptional customer experiences (CX). We're not just another BPO company. We're CX innovators, with deep understanding of what makes customers happy. We seamlessly blend human expertise with the power of AI to deliver optimized solutions across every touchpoint – from customer care and tech support to sales, collections, and trust & safety.
O Grupo Brasanitas é composto por quatro empresas, Brasanitas Limpeza e Conservação, Brasanitas Hospitalar, Praxxis Controle de Pragas e Infralink Facilities Services, o Grupo Brasanitas atua em indústrias em geral, hospitais, shopping centers, instituições de ensino, mineradoras, entre outros segmentos. Com mais de 26 mil colaboradores, a companhia está presente nas regiões Sul, Sudeste, Nordeste e Centro-Oeste do país. Limpeza e Conservação Ambiental - Manutenção Predial - Logística Interna - Gerenciamento de Facilities -Higienização Hospitalar - Gerenciamento de Leitos - Serviços de Apoio - Controle Integrado de Pragas - Jardinagem.
Established in 2001, Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company, is a specialized BPS partner with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. We help our clients across healthcare, banking and financial services, communications, media, technology, retail and utilities reimagine their business with our UnBPO(TM) approach. Our team of over 35,000 Firstsourcers, globally, is driven to Make It Happen for our clients, solving their biggest challenges. We are a trusted growth partner for over 200 leading global brands, including several Fortune 500 and FTSE 100 companies and present in the US, the UK, Mexico, India, Australia, South Africa and the Philippines.
iEnergizer is a leading Business Process Outsourcing provider (“BPO”) of customer management solutions dedicated to delivering performance while actively supporting and advocating our client’s brand. iEnergizer helps our Partners acquire, support, retain, and grow their markets by providing complete life-cycle customer support services. From sales to customer care, technical support and back-office services, iEnergizer provides client-centric solutions to a partner base that includes a number of Fortune 500 companies operating within different industry verticals including: Healthcare Payers and Providers, Banking, Financial Services, Insurance, Gaming, Publishing and Legal. We don’t consider ourselves simply an outsourcing provider. We are a trusted partner who acts as an extension of our clients' operations. iEnergizer provides our clients with high-quality service, while lowering operating costs in an innovative atmosphere that focuses on an exemplary customer experience, combined with continuous improvements in key business impacts. Being a mid-sized company enables us to offer clients the best of both worlds—the resources to provide a scalable environment, combined with an infrastructure that allows us to remain nimble and customer-focused.
Latest updates, reports, and threat intel affecting the global network.
US-based applications, learning and outsourcing player Computer Generated Solutions Inc (CGS) is expanding its presence in Hyderabad with a...
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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