
SentinelOne Named Strong Performer by Gartner
SentinelOne, a global leader in AI-powered security, has been named a Strong Performer in the 2025 Gartner Peer Insights Voice of the Customer report for Cloud Security Posture Management (CSPM) tools.
This recognition highlights SentinelOne's continued momentum in the cloud security space. It follows several recent honors: Named a 2025 Customers' Choice for Extended Detection and Response (XDR)
for Extended Detection and Response (XDR) Recognized as a 2024 Customers' Choice for Cloud-Native Application Protection Platforms (CNAPP) and Managed Detection and Response (MDR)
The CSPM report includes user reviews of SentinelOne's Singularity Cloud Security platform, collected as of February 2025. Notably, 100% of users said they would recommend the solution, and all rated it four stars or higher.
Ely Kahn, Vice President of Product Management at SentinelOne, stated, 'We believe that being named as a Strong Performer in the Gartner Peer Insights Voice of the Customer for Cloud Security Posture Management is a testament to the value our platform delivers every day.'
He added that cloud environments are becoming more complex. Therefore, organizations need solutions that go beyond traditional security tools.
SentinelOne is addressing this need with a unified, AI-powered approach that enables: Continuous monitoring
Automated policy enforcement
Actionable threat intelligence at scale
This recognition further supports SentinelOne's mission to help customers gain visibility, control, and confidence in securing their cloud infrastructure.
According to Gartner, CSPM tools help identify and fix risks across cloud environments, including IaaS, SaaS, and PaaS. These tools maintain an up-to-date inventory of cloud assets. They also support compliance by detecting misconfigurations and integrating with DevOps workflows.
SentinelOne integrates its CSPM into Singularity Cloud Security, part of its full CNAPP offering. This enables organizations to secure dynamic environments with real-time visibility, automated enforcement, prioritized threat findings, and continuous compliance.
Customers praised the platform in the Gartner report. One educator noted its comprehensive visibility, AI-powered risk assessment, automation, and scalability.
A cloud engineer highlighted how the tool strengthens security posture through continuous monitoring and automation. Another IT services professional praised the smooth implementation process and the expertise of SentinelOne's team.
SentinelOne continues to advance its security platform, extending protection from endpoint to cloud with speed, accuracy, and ease of use.
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Web Release
19 hours ago
- Web Release
NTT DATA Partners with Google Cloud to Accelerate Agentic AI Adoption and Cloud Modernization for Enterprises Globally
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According to Gartner®, worldwide end-user spending on public cloud services is forecast to reach $723 billion in 2025, up from $595.7 billion in 2024.1 The use of AI deployments in IT and business operations is accelerating the reliance on modern cloud infrastructure, highlighting the critical importance of this strategic global partnership. 'This collaboration with Google Cloud represents a significant milestone in our mission to drive innovation and digital transformation across industries,' said Marv Mouchawar, Head of Global Innovation, NTT DATA. 'By combining NTT DATA's deep expertise in AI, cloud-native modernization and enterprise solutions with Google Cloud's advanced technologies, we are helping businesses accelerate their AI-powered cloud adoption globally and unlock new opportunities for growth.' 'Our partnership with NTT DATA will help enterprises use agentic AI to enhance business processes and solve complex industry challenges,' said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. 'By combining Google Cloud's AI with NTT DATA's implementation expertise, we will enable customers to deploy intelligent agents that modernize operations and deliver significant value for their organizations.' Driving AI innovation across industries NTT DATA will leverage Google Cloud technology to develop several industry-specific AI and cloud solutions, accelerating enterprise transformation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences and the public sector. For example, in financial services, this collaboration will support regulatory compliance and reporting through NTT DATA solutions like Regla, which leverage Google Cloud's scalable AI infrastructure. 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Next-generation application and security modernization: Strengthening enterprise agility and resilience through mainframe modernization, DevOps, observability, API management, cybersecurity frameworks and SAP on Google Cloud. ? Sovereign cloud innovation: Delivering secure, compliant solutions through Google Distributed Cloud in both air-gapped and connected deployments. Air-gapped environments operate offline for maximum data isolation. Connected deployments enable secure integration with cloud services. These scenarios meet data sovereignty and regulatory demands in sectors such as finance, government and healthcare without compromising innovation. ? Google Distributed Cloud sandbox environment: Google Distributed Cloud sandbox environment is a digital playground where developers can build, test and deploy industry-specific and sovereign cloud deployments. This sandbox will help teams upskill through hands-on training and accelerate time to market with Google Distributed Cloud technologies through preconfigured, ready-to-deploy templates. NTT DATA will support these innovations through a full-stack suite of services including advisory, building, implementation and ongoing hosting and managed services. By combining NTT DATA's proven blueprints and delivery expertise with Google Cloud's technology, the partnership will accelerate the development of repeatable, scalable solutions for enterprise transformation. At the heart of this innovation strategy is Takumi, NTT DATA's GenAI framework that guides clients from ideation to enterprise-wide deployment. Takumi integrates seamlessly with Google Cloud's AI stack, enabling rapid prototyping and operationalization of GenAI use cases. 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Additionally, both companies are co-investing in global sales and go-to-market campaigns to accelerate client adoption across priority industries. By aligning technical, sales and marketing expertise, the companies aim to scale transformative solutions efficiently across global markets. Building on strategic momentum This global partnership builds on NTT DATA and Google Cloud's 2024 co-innovation agreement in APAC. In addition it further strengthens NTT DATA's acquisition of Niveus Solutions, a leading Google Cloud specialist recognized with three 2025 Google Cloud Awards – 'Google Cloud Country Partner of the Year – India', 'Google Cloud Databases Partner of the Year – APAC' and 'Google Cloud Country Partner of the Year – Chile,' further validating NTT DATA's commitment to cloud excellence and innovation. 'We're excited to see the strengthened partnership between NTT DATA and Google Cloud, which continues to deliver measurable impact. 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Gulf Today
a day ago
- Gulf Today
Manufacturers turn to artificial intelligence to weather tariff storm
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Instead, "just in time" inventory management - which aims to increase efficiency and reduce waste by ordering goods only as they are needed - is back. But how can firms run lean inventories even as tariffs fluctuate, export bans come out of the blue, and conflict rages? One of the answers, they say, is artificial intelligence. Carpenter says he uses AI to digest the daily stream of news that could impact Toro's business, from Trump's latest social media posts to steel prices, into a custom-made podcast that he listens to each morning. His team also uses generative AI to sieve an ocean of data and to suggest when and how many components to buy from whom. It is a boom industry. Spending on software that includes generative AI for supply chains, capable of learning and even performing tasks on its own, could hit $55 billion by 2029, up from $2.7 billion now, according to U.S. research firm Gartner, driven in part by global uncertainties. "The tool just puts up in front of you: 'I think you can take 100 tonnes of this product from this plant to transfer it to that plant. And you just hit accept if that makes sense (to you)," McKinsey supply chain consultant Matt Jochim said. The biggest providers of overall supply chain software by revenue are Germany's SAP, US firms Oracle, Coupa and Microsoft and Blue Yonder, a unit of Panasonic, according to Gartner. Generative AI is in its infancy, with most firms still piloting it spending modest amounts, industry experts say. Those investments can climb to tens of millions of dollars when deployed at scale, including the use of tools known as AI agents, which make their own decisions and often need costly upgrades to data management and other IT systems, they said. In commenting for this article, SAP, Oracle, Coupa, Microsoft and Blue Yonder described strong growth for generative AI solutions for supply chains without giving numbers. At US supply chain consultancy GEP, which sells AI tools like this, Trump's tariffs are helping to drive demand. "The tariff volatility has been big," says GEP consultant Mukund Acharya, an expert in retail industry supply chains. SAP said the uncertainty was driving technology take-up. "That's how it was during the financial crisis, Brexit and COVID. And it's what we're seeing now," Richard Howells, SAP vice president and supply chain specialist, said in a statement. An AI agent can sift real-time news feeds on changing tariff scenarios, assess contract renewal dates and a myriad of other data points and come up with a suggested plan of action. But supply chain experts warn of AI hype, saying a lot of money will be wasted on a vain hope that AI can work miracles. "AI is really a powerful enabler for supply chain resilience, but it's not a silver bullet," says Minna Aila, communications chief at Finnish crane-maker Konecranes and member of a business board that advises the OECD on issues including supply chain resilience. "I'm still looking forward to the day when AI can predict terrorist attacks that are at sea, for instance." Konecranes' logistics partners are deploying AI on more mundane data, like weather forecasts. The company makes port cranes that are up to 106 metres (348 ft) high when assembled. When shipping them, AI marries weather forecasts with data like bridge heights to optimise the route. "To ship those across oceans, you do have to take into consideration weather," Aila says. By keeping inventories low, firms can bolster profit margins that are under pressure from rising costs. Every component or finished product sitting on a shelf is capital tied up, incurring finance and storage costs and at risk of obsolescence. McKinsey has been surveying supply-chain executives since the pandemic. Its most recent survey showed that respondents relying on bigger inventory to cushion disruptions fell to 34% last year from 60% in 2022. Early responses from its upcoming 2025 survey suggest a similar picture, Jochim said. Gartner supply chain analyst Noha Tohamy says that without AI, companies would be slower to react and be more likely to be drawn into building up inventories. "When supply chain organisations don't have that visibility and don't really understand the uncertainty, we go for inventory buffering," Tohamy says. But AI agents won't put supply chain managers out of work, not yet, consultants say. Humans still need to make strategic and big tactical decisions, leaving AI agents to do more routine tasks like ordering and scheduling production maintenance. Toro supply chain chief Carpenter says that without AI, supply chain managers might need to run bigger teams as well. Is he worried that AI is coming for his job one day? "I hope it doesn't take it until my kids get through college!"


Channel Post MEA
2 days ago
- Channel Post MEA
NTT DATA And Google Cloud To Accelerate Agentic AI Adoption And Cloud Modernization
NTT DATA has announced a global partnership with Google Cloud to accelerate AI-powered cloud innovations and unlock new possibilities with AI for enterprise organizations across industries. This collaboration combines NTT DATA's deep industry expertise in AI, cloud-native modernization and data engineering with Google Cloud's advanced analytics, AI and cloud technologies to deliver tailored, scalable enterprise solutions. With a focus on co-innovation, the partnership will drive industry-specific cloud and AI solutions, leveraging NTT DATA's proven frameworks and best practices along with Google Cloud's capabilities to deliver customized solutions backed by deep implementation expertise. Significant joint go-to-market investments will support seamless adoption across key markets. According to Gartner®, worldwide end-user spending on public cloud services is forecast to reach $723 billion in 2025, up from $595.7 billion in 2024.1 The use of AI deployments in IT and business operations is accelerating the reliance on modern cloud infrastructure, highlighting the critical importance of this strategic global partnership. 'This collaboration with Google Cloud represents a significant milestone in our mission to drive innovation and digital transformation across industries,' said Marv Mouchawar, Head of Global Innovation, NTT DATA. 'By combining NTT DATA's deep expertise in AI, cloud-native modernization and enterprise solutions with Google Cloud's advanced technologies, we are helping businesses accelerate their AI-powered cloud adoption globally and unlock new opportunities for growth.' 'Our partnership with NTT DATA will help enterprises use agentic AI to enhance business processes and solve complex industry challenges,' said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. 'By combining Google Cloud's AI with NTT DATA's implementation expertise, we will enable customers to deploy intelligent agents that modernize operations and deliver significant value for their organizations.' Driving AI innovation across industries NTT DATA will leverage Google Cloud technology to develop several industry-specific AI and cloud solutions, accelerating enterprise transformation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences and the public sector. For example, in financial services, this collaboration will support regulatory compliance and reporting through NTT DATA solutions like Regla , which leverage Google Cloud's scalable AI infrastructure. In hospitality, NTT DATA's Virtual Travel Concierge enhances customer experience and drives sales with 24×7 multilingual support, real-time itinerary planning and intelligent travel recommendations. It uses the capabilities of Google's Gemini models to drive personalization across more than 3 million monthly conversations. Key focus areas include: NTT DATA will support these innovations through a full-stack suite of services including advisory, building, implementation and ongoing hosting and managed services. By combining NTT DATA's proven blueprints and delivery expertise with Google Cloud's technology, the partnership will accelerate the development of repeatable, scalable solutions for enterprise transformation. At the heart of this innovation strategy is Takumi, NTT DATA's GenAI framework that guides clients from ideation to enterprise-wide deployment. Takumi integrates seamlessly with Google Cloud's AI stack, enabling rapid prototyping and operationalization of GenAI use cases. This initiative expands NTT DATA's Smart AI Agent Ecosystem , which unites strategic technology partnerships, specialized assets and an AI-ready talent engine to help clients deploy and manage responsible, business-driven AI at scale. Accelerating global delivery with a dedicated Google Cloud Business Group To achieve excellence, NTT DATA has established a dedicated global Google Cloud Business Group comprising thousands of engineers, architects and advisory consultants. This global team at NTT DATA will work in close collaboration with Google Cloud teams to help clients adopt and scale AI-powered cloud technologies. NTT DATA is also investing in advanced training and certification programs ensuring teams across sales, pre-sales and delivery are equipped to sell, secure, migrate and implement AI-powered cloud solutions. The company aims to certify 5,000 engineers in Google Cloud technology, further reinforcing its role as a leader in cloud transformation on a global scale. Additionally, both companies are co-investing in global sales and go-to-market campaigns to accelerate client adoption across priority industries. By aligning technical, sales and marketing expertise, the companies aim to scale transformative solutions efficiently across global markets. Building on strategic momentum This global partnership builds on NTT DATA and Google Cloud's 2024 co-innovation agreement in APAC . In addition it further strengthens NTT DATA's acquisition of Niveus Solutions , a leading Google Cloud specialist recognized with three 2025 Google Cloud Awards – 'Google Cloud Country Partner of the Year – India', 'Google Cloud Databases Partner of the Year – APAC' and 'Google Cloud Country Partner of the Year – Chile,' further validating NTT DATA's commitment to cloud excellence and innovation. 'We're excited to see the strengthened partnership between NTT DATA and Google Cloud, which continues to deliver measurable impact. Their combined expertise has been instrumental in migrating more than 380 workloads to Google Cloud to align with our cloud-first strategy,' said José Luis González Santana, Head of IT Infrastructure, Carrefour. 'By running SAP HANA on Google Cloud, we have consolidated 100 legacy applications to create a powerful, modernized e-commerce platform across 200 hypermarkets. This transformation has given us the agility we need during peak times like Black Friday and enabled us to launch new services faster than ever. Together, NTT DATA and Google Cloud are helping us deliver more connected, seamless experiences for our customers,'