Also Read: Tanium Extends Enterprise Endpoint Management to NVIDIA’s On-Premises AI Infrastructure

With Web Archive, there are plans to enhance the ability to capture dynamic and browser-generated content. This way, the organization will have the ability to archive its changing digital experience. Cyber Compliance offers organizations visibility of security postures of personal and unmanaged devices connected to business applications, while Vendor Risk Management consolidates all vendor assessments, risk scores, remediation efforts, and reassessments.“Risk does not arrive in one system or on one schedule,” said Kamesh Tumsi, Chief Product Officer at Smarsh. “Small and mid-sized financial services firms need a practical way to understand what is changing across their communications, devices, and third parties without adding unnecessary complexity. These capabilities help lean teams focus their expertise where it matters most and maintain a clear record of the actions they take.”

Read More: Smarsh Expands Solutions for AI, Cyber, and Third-Party Risk

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Also Read: Absolute Security Brings Autonomous Cyber Resilience to NVIDIA DGX Station

Furthermore, new features will enable the covenant monitoring for private credit, and new performance analytics will be provided for private credit, real assets, and private equity based on standardized and anonymized data from general partners.”Private markets firms increasingly need connected data, analytics and workflows that help them operate more efficiently and make decisions with confidence,” said Kelly McGeehan, Head of Markets & Regulatory, Enterprise Solutions at S&P Global Market Intelligence. “We’re bringing together capabilities across S&P Global’s private markets ecosystem, with iLEVEL playing an important role in connecting customers’ data and workflows to the analytics, valuations and AI capabilities they need to make better-informed decisions.”

Read More: S&P Global Expands AI-Powered Capabilities Across Private Markets

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Also Read: RapidCanvas Secures $29 Million Series B to Scale Managed Enterprise AI Execution Globally 

“Global enterprises need to unlock the full power and potential of every endpoint device they have deployed, whether they be PCs in use among their workforces or advanced machines used by AI developers to shape the future of autonomous business,” said Christy Wyatt, President & CEO, Absolute Security. “Our work with NVIDIA will deliver a needed breakthrough in endpoint management, security, and cyber resilience that will help customers leverage AI without sacrificing needed security and compliance controls.”The collaboration addresses growing enterprise demand for secure AI infrastructure as autonomous agents gain access to applications and business workflows.

Read More: Absolute Security Integrates Autonomous Cyber Resilience into the NVIDIA DGX Station AI Supercomputer

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Also Read: Gigamon Unveils GigaVUE-GSA110 Appliance to Power AI-Enabled Network and Security Operations

“With NVIDIA’s vision for AI computing power, a new class of endpoints is entering the enterprise with new hardware architectures, new operating systems, and AI agents running locally on all these systems,” says Harman Kaur, Chief Technology Officer at Tanium. “To sovereignly manage this infrastructure, IT and security teams need real-time visibility and control over their entire fleet of devices. Tanium brings these capabilities to NVIDIA’s AI endpoints just as we’ve done everywhere else. Because attacks now happen at machine speed, there’s no room for blind spots.”The collaboration addresses the growing need to manage emerging AI infrastructure using established IT and security processes. By extending endpoint management to NVIDIA’s local AI platforms, Tanium aims to help enterprises scale AI deployments while maintaining consistent governance, device visibility, and security controls across their technology environments.

Read More: Tanium brings enterprise-grade management to NVIDIA’s local AI infrastructure

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Also Read: RapidCanvas Secures $29 Million Series B to Scale Managed Enterprise AI Execution Globally

The compact 1RU form factor makes it possible to do the processing of AMI through up to 400 Gbps of network traffic and provide optimized packet delivery through up to 800 Gbps. Thus, organizations will be able to grow their application intelligence and packet optimization as network traffic grows.“Hybrid AI and agentic workflows will fundamentally change how enterprises operate and secure increasingly distributed infrastructure,” said Gareth Maclachlan, chief operating officer at Gigamon. “As network and security operations become more AI-enabled, they need consistent, trusted network context to analyze activity and make informed decisions. The GigaVUE-GSA110 extends the Deep Observability Pipeline with distributed processing capacity and application intelligence at scale, helping organizations investigate issues faster, strengthen governance, and build a stronger foundation for AI-enabled operations.”

Read More: Gigamon Extends the Deep Observability Pipeline for AI-Enabled Network and Security Operations with New GigaSMART Network Appliance

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Also Read: AtScale Unveils ‘AtScale for AI’ to Resolve Enterprise AI Business Logic and Accuracy Challenges 

“AI can be the great equalizer, but so far its biggest wins have gone to the Fortune 100. We want to give every enterprise the same opportunity,” said Rahul Pangam, co-founder and CEO of RapidCanvas. “Vibe coding has made it easy to start building with AI. Getting AI into production reliably and safely still remains the biggest gap. Our growth over the past six quarters is evidence that AI in enterprises is moving beyond pilots into production and real operations.”RapidCanvas will use the funding to expand its go-to-market operations, strengthen partnerships with private equity and advisory firms, and grow its AI engineering teams across the United States, Brazil, and India. It also plans to invest in platform development and governance capabilities.

Read More: RapidCanvas Raises $29M Series B to Bring Fortune 100-Grade AI to Every Enterprise

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Also Read: NetSuite Unveils Free AI-First Financial Platform to Accelerate Startup Scale from Idea to IPO

“The AI industry keeps telling enterprises to buy a smarter model, but a model can’t reason its way to your definition of revenue,” said Chris Lynch, CEO of AtScale. “Enterprises need to define what an answer means, compute it correctly, and prove it holds up. AtScale for AI brings those capabilities together so accuracy becomes something businesses can measure, improve, and demand.”The platform aims to address a common challenge in enterprise AI: models may interpret metrics such as revenue differently unless organizations provide clear definitions and consistent calculation rules.

Read More: AtScale Launches AtScale for AI to Close the Enterprise AI Accuracy Gap

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Also Read: Zones and Thoughtworks Partner to Bridge the AI Execution Gap for Enterprise IT

Deutsche Telekom uses Xurrent’s incident response platform to help maintain service reliability during major live events and keep customer-facing services running smoothly.”Engineers have AI to help them write code, but when that code breaks, they are still left searching through logs, dashboards and past incidents to understand what happened,” said Brian Wenngatz, CEO of Xurrent. “The next step is bringing that same level of AI support to incident resolution, giving engineers the context they need to move faster while keeping their expertise and judgment at the center.”Xurrent includes its AI capabilities across the platform without additional charges for premium AI features.

Read More: Xurrent Extends Sera AI Into an AI SRE teammate to Help Engineering Teams Resolve Incidents Faster

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Also Read: FIS Integrates Agentic AI Across Financial Intelligence Network to Help CFOs Forecast Cash Flow and Mitigate Market Risks

The workflow examines customer-specific requirements, reviews orders, and recommends next steps, while employees continue to make the final decisions. “Customers are challenged with figuring out how AI can make a difference in their business,” said Jeff Cobb, SVP, Integrated Solutions, Zones. “They may have pilots underway, but don’t always have the strategy, infrastructure, skills or resources to take the next step. Through our partnership with Thoughtworks, we’re helping customers identify the right opportunities and then giving them the technology and expertise to turn those opportunities into results that matter to their organization.”

Read More: Zones Expands AI Services with Thoughtworks Partnership to Help Customers Turn AI Into Business Results

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Also Read: Manulife Unveils Unified Enterprise AI Platform to Accelerate Global Operational Efficiency and Innovation

With no implementation needed, eligible startups can connect bank accounts, create invoices, and start viewing financial information in less than ten minutes. As companies grow and their financial requirements become more complex, QuickStart provides a path to NetSuite’s broader enterprise resource planning platform without requiring them to start over. “As a technology founder, I know from experience that building a company shouldn’t mean becoming a finance expert,” said Evan Goldberg, founder and executive vice president, Oracle NetSuite. “QuickStart is designed to handle more of the routine financial work, surface what actually needs a founder’s judgment, and provide a financial foundation that can grow with the business, making NetSuite the first and last business system they will ever need.”

Read More: NetSuite Introduces Free AI-First Financial Platform That Helps Startups Go From Idea to IPO

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