Redington First In Middle East To Earn AWS Security Competency Designation
Redington has announced a major milestone: achieving the AWS Security Competency in the Infrastructure Protection category. This designation positions Redington as the first AWS Partner in the Middle East to achieve Security Competency – and the first distributor globally to secure designation in the Infrastructure Protection category.
The AWS Security Competency recognizes partners who have demonstrated deep expertise in securing AWS environments, validated through rigorous technical and proven customer success. Infrastructure Protection is one of the eight specialized categories under this competency, focusing on fortifying networks, applications, and workloads against evolving threats.
'Security has become the cornerstone of every cloud journey, especially as enterprises scale migrations to AWS,' said Nehal Sharma, Vice President, Cloud Solutions Group, Redington. 'Achieving the AWS Security Competency in Infrastructure Protection is a proud moment — not just because it's a badge of honor, but because it reflects our deep commitment to helping customers build, manage, and secure their cloud environments with complete confidence.'
Redington's journey toward this competency involved a 12-month transformation, including the creation of a dedicated Security Practice team and the upskilling of its cloud delivery engineers — with 8 team members earning the AWS Certified Security–Specialty certification. The company institutionalized security best practices across its operations, from automating controls using Infrastructure as Code, to deploying centralized frameworks with AWS Control Tower, and ensuring continuous compliance with AWS Config, Inspector, and Security Hub.
Achieving this competency has significantly strengthened Redington's market position. It has enhanced trust with partners and customers, especially in secure migration and managed services, and deepened collaboration with AWS teams and ISV partners to co-create integrated security offerings across identity, endpoint, and data security.
'This milestone validates the strength of our security practice — but more importantly, it's a catalyst for us to keep innovating,' added Sharma. 'Our mission is to make world-class cloud security accessible to every customer in the region, ensuring they can scale confidently in an increasingly complex threat landscape.' 0 0
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Web Release
2 days ago
- Web Release
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced several product innovations at its annual user conference, Snowflake Summit 2025 , designed to revolutionize how enterprises manage, analyze, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organizations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organizations can expect from a modern data platform,' said James Petter, Vice President, Snowflake EMEA. 'These innovations are focused on helping businesses make AI and machine learning workflows more easy, connected, and trusted for users of all abilities by democratizing access to data and eliminating the technical overhead that slows down business decision-making.' Snowflake Openflow Unlocks Full Data Interoperability, Accelerating Data Movement for AI Innovation Snowflake unveiled Snowflake Openflow , a multi-modal data ingestion service that allows users to connect to virtually any data source and drive value from any data architecture. Now generally available on AWS, Openflow eliminates fragmented data stacks and manual labor by unifying various types of data and formats, enabling customers to rapidly deploy AI-powered innovations. Snowflake Openflow embraces open standards, so organizations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi ™, an Apache Software Foundation project built to automate the flow of data between systems, Snowflake Openflow enables data engineers to build custom connectors in minutes and run them seamlessly on Snowflake's managed platform. With Snowflake Openflow, users can harness their data across the entire end-to-end data lifecycle, while adapting to evolving data standards and business demands. Hundreds of ready-to-use connectors and processors simplify and rapidly accelerate data integration from a broad range of data sources including Box, Google Ads, Proofpoint, ServiceNow, Workday, Zendesk, and more , to a wide array of destinations including cloud object stores and messaging platforms, not just Snowflake. Snowflake Unveils Next Wave of Compute Innovations For Faster, More Efficient Warehouses and AI-Driven Data Governance Snowflake announced the next evolution of compute innovations that deliver faster performance, enhanced usability, and stronger price-performance value — raising the bar for modern data infrastructure. This includes Standard Warehouse – Generation 2 (Gen2) (now generally available), an enhanced version of Snowflake's virtual Standard Warehouse with next-generation hardware and additional enhancements to deliver 2.1x faster analytics performance. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximizing efficiency through automatic resource sizing and sharing. Warehouses created using Adaptive Compute, known as Adaptive Warehouses, accelerate performance for users without driving up costs, ultimately redefining data management in the evolving AI landscape. Snowflake Intelligence and Data Science Agent Deliver The Next Frontier of Data Agents for Enterprise AI and ML Snowflake announced Snowflake Intelligence (public preview soon), which enables technical and non-technical users alike to ask natural language questions and instantly uncover actionable insights from both structured tables and unstructured documents. Snowflake Intelligence is powered by state-of-the-art large language models from Anthropic and OpenAI, running inside the secure Snowflake perimeter, and is powered by Cortex Agents (public preview) under the hood — all delivered through an intuitive, no-code interface that helps provide transparency and explainability. Snowflake also unveiled Data Science Agent (private preview soon), an agentic companion that boosts data scientists' productivity by automating routine ML model development tasks. Data Science Agent uses Anthropic's Claude to break down problems associated with ML workflows into distinct steps, such as data analysis, data preparation, feature engineering, and training. Today, over 5,200 customers from companies like BlackRock, Luminate, and Penske Logistics are using Snowflake Cortex AI to transform their businesses. Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era Snowflake announced major innovations that expand on Snowflake Cortex AI , Snowflake's suite of enterprise-grade AI capabilities, empowering global organizations to modernize their data analytics for today's AI landscape. This includes SnowConvert AI , an agentic automation solution that accelerates migrations from legacy platforms to Snowflake. With SnowConvert AI, data professionals can modernize their data infrastructure faster, more cost-effectively, and with less manual effort. Once data lands in Snowflake, Cortex AISQL (now in public preview) then brings generative AI directly into customers' query engines, enabling teams to extract insights across multi-modal data and build flexible AI pipelines using SQL — all while providing best?in?class performance and cost efficiency. Snowflake Marketplace Adds Agentic Products and AI-Ready Data from Leading News, Research, and Market Data Providers Snowflake announced new agentic products on Snowflake Marketplace that accelerate agentic AI adoption across the enterprise. This includes Cortex Knowledge Extensions (generally available soon) on Snowflake Marketplace , which enables enterprises to enrich their AI apps and agents with proprietary unstructured data from third-party providers — all while allowing providers to protect their intellectual property and ensure proper attribution. Users can tap into a selection of business articles and content from The Associated Press, which will help users further enhance the usefulness of results in their AI systems. In addition, Snowflake unveiled sharing of Semantic Models (now in private preview), which allows users to easily integrate AI-ready structured data within their Snowflake Cortex AI apps and agents — both from internal teams or third-party providers like CARTO, CB Insights, Cotality™ powered by Bobsled, Deutsche Börse, IPinfo, and truestar.
TECHx
2 days ago
- TECHx
Snowflake Unveils AI Data Cloud Innovations at Summit 2025
Home » Tech Value Chain » Global Brands » Snowflake Unveils AI Data Cloud Innovations at Summit 2025 Snowflake (NYSE: SNOW), the AI Data Cloud company, announced major product innovations at its annual user conference, Snowflake Summit 2025. These updates are set to transform how enterprises manage, analyze, and activate data in the AI era. The company revealed enhancements across data engineering, compute performance, analytics, and agentic AI. These innovations aim to eliminate data silos and connect enterprise data to business action. At the same time, they maintain control, simplicity, and governance. James Petter, Vice President, Snowflake EMEA, stated that the new updates redefine what organizations can expect from a modern data platform. He emphasized that the company's goal is to make AI and machine learning workflows more accessible, trusted, and efficient. Snowflake introduced Snowflake Openflow, a multi-modal data ingestion service now generally available on AWS. It enables users to connect to nearly any data source and drive value from any architecture. Openflow removes data fragmentation by unifying formats and systems. The service is powered by Apache NiFi™, automating data flow between systems. It allows data engineers to create custom connectors in minutes, running them on Snowflake's managed platform. It supports a wide range of sources like Box, Google Ads, Proofpoint, ServiceNow, Workday, and Zendesk, among others. Key capabilities include: Hundreds of ready-to-use connectors Integration with cloud object stores and messaging platforms Snowflake also revealed new compute innovations. These include Standard Warehouse Generation 2 (Gen2), now generally available, which offers 2.1x faster performance. Another addition, Adaptive Compute, is now in private preview. This feature automatically sizes and shares resources for better performance and lower costs. The company reported the upcoming release of Snowflake Intelligence and Cortex Agents, both in public preview soon. These tools enable users to ask natural language questions and get insights from structured and unstructured data. Powered by models from Anthropic and OpenAI, they run securely within Snowflake. Another announcement was the Data Science Agent, now in private preview. It helps data scientists by automating tasks like data preparation, feature engineering, and model training using Anthropic's Claude. According to Snowflake, more than 5,200 customers, including BlackRock, Luminate, and Penske Logistics, are already using Cortex AI to transform their operations. The company also introduced SnowConvert AI and Cortex AISQL. These tools support fast and cost-effective migration from legacy systems and enable generative AI-powered SQL analytics. Both are designed for high performance and efficiency. Additionally, Snowflake revealed updates to its Marketplace. New agentic products like Cortex Knowledge Extensions will soon be available. These allow enterprises to enrich AI agents with third-party data while ensuring data protection and attribution. Users can access content from The Associated Press and other providers. Through these developments, Snowflake aims to empower global organizations to modernize their data strategies with enterprise-ready AI.
Channel Post MEA
2 days ago
- Channel Post MEA
Snowflake Introduces New Product Innovations For Data And AI
Snowflake has announced several product innovations at its annual user conference, Snowflake Summit 2025, designed to revolutionize how enterprises manage, analyze, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organizations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organizations can expect from a modern data platform,' said James Petter, Vice President, Snowflake EMEA. 'These innovations are focused on helping businesses make AI and machine learning workflows more easy, connected, and trusted for users of all abilities by democratizing access to data and eliminating the technical overhead that slows down business decision-making.' Snowflake Openflow Unlocks Full Data Interoperability, Accelerating Data Movement for AI Innovation Snowflake unveiled Snowflake Openflow, a multi-modal data ingestion service that allows users to connect to virtually any data source and drive value from any data architecture. Now generally available on AWS, Openflow eliminates fragmented data stacks and manual labor by unifying various types of data and formats, enabling customers to rapidly deploy AI-powered innovations. Snowflake Openflow embraces open standards, so organizations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi, an Apache Software Foundation project built to automate the flow of data between systems, Snowflake Openflow enables data engineers to build custom connectors in minutes and run them seamlessly on Snowflake's managed platform. With Snowflake Openflow, users can harness their data across the entire end-to-end data lifecycle, while adapting to evolving data standards and business demands. Hundreds of ready-to-use connectors and processors simplify and rapidly accelerate data integration from a broad range of data sources including Box, Google Ads, Proofpoint, ServiceNow, Workday, Zendesk, and more, to a wide array of destinations including cloud object stores and messaging platforms, not just Snowflake. Snowflake Unveils Next Wave of Compute Innovations For Faster, More Efficient Warehouses and AI-Driven Data Governance Snowflake announced the next evolution of compute innovations that deliver faster performance, enhanced usability, and stronger price-performance value — raising the bar for modern data infrastructure. This includes Standard Warehouse – Generation 2 (Gen2) (now generally available), an enhanced version of Snowflake's virtual Standard Warehouse with next-generation hardware and additional enhancements to deliver 2.1x faster analytics performance. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximizing efficiency through automatic resource sizing and sharing. Warehouses created using Adaptive Compute, known as Adaptive Warehouses, accelerate performance for users without driving up costs, ultimately redefining data management in the evolving AI landscape. Snowflake Intelligence and Data Science Agent Deliver The Next Frontier of Data Agents for Enterprise AI and ML Snowflake announced Snowflake Intelligence (public preview soon), which enables technical and non-technical users alike to ask natural language questions and instantly uncover actionable insights from both structured tables and unstructured documents. Snowflake Intelligence is powered by state-of-the-art large language models from Anthropic and OpenAI, running inside the secure Snowflake perimeter, and is powered by Cortex Agents (public preview) under the hood — all delivered through an intuitive, no-code interface that helps provide transparency and explainability. Snowflake also unveiled Data Science Agent (private preview soon), an agentic companion that boosts data scientists' productivity by automating routine ML model development tasks. Data Science Agent uses Anthropic's Claude to break down problems associated with ML workflows into distinct steps, such as data analysis, data preparation, feature engineering, and training. Today, over 5,200 customers from companies like BlackRock, Luminate, and Penske Logistics are using Snowflake Cortex AI to transform their businesses. Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era Snowflake announced major innovations that expand on Snowflake Cortex AI, Snowflake's suite of enterprise-grade AI capabilities, empowering global organizations to modernize their data analytics for today's AI landscape. This includes SnowConvert AI, an agentic automation solution that accelerates migrations from legacy platforms to Snowflake. With SnowConvert AI, data professionals can modernize their data infrastructure faster, more cost-effectively, and with less manual effort. Once data lands in Snowflake, Cortex AISQL (now in public preview) then brings generative AI directly into customers' query engines, enabling teams to extract insights across multi-modal data and build flexible AI pipelines using SQL — all while providing best‑in‑class performance and cost efficiency. Snowflake Marketplace Adds Agentic Products and AI-Ready Data from Leading News, Research, and Market Data Providers Snowflake announced new agentic products on Snowflake Marketplace that accelerate agentic AI adoption across the enterprise. This includes Cortex Knowledge Extensions (generally available soon) on Snowflake Marketplace, which enables enterprises to enrich their AI apps and agents with proprietary unstructured data from third-party providers — all while allowing providers to protect their intellectual property and ensure proper attribution. Users can tap into a selection of business articles and content from The Associated Press, which will help users further enhance the usefulness of results in their AI systems. In addition, Snowflake unveiled sharing of Semantic Models (now in private preview), which allows users to easily integrate AI-ready structured data within their Snowflake Cortex AI apps and agents — both from internal teams or third-party providers like CARTO, CB Insights, Cotality powered by Bobsled, Deutsche Börse, IPinfo, and truestar.
