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ServiceNow has announced an agreement to acquire Armis for $7.75 billion in cash, marking one of the company’s largest security investments to date. Armis, a global leader in cyber exposure management and cyber‑physical security, provides real‑time visibility and risk intelligence across IT, OT, medical devices, industrial systems, and critical infrastructure. The acquisition will significantly expand ServiceNow’s security workflow portfolio and accelerate its strategy to deliver AI‑native, proactive cybersecurity across the entire technology estate.
As organizations adopt AI at unprecedented speed, security remains the top priority for CEOs. Global spending on information security is projected to rise 12.5% in 2026 to $240 billion, driven by escalating threats and the rapid expansion of AI and generative AI. With attack surfaces growing across connected devices and autonomous systems, enterprises require real‑time intelligence and automated response capabilities to stay ahead of adversaries. The addition of Armis strengthens ServiceNow’s Security, Risk, and OT offerings and is expected to more than triple the company’s market opportunity in security and risk solutions.
Amit Zavery, president, COO, and chief product officer at ServiceNow, said the acquisition positions the company to deliver “an industry‑defining strategic cybersecurity shield” built for the agentic AI era. “Intelligent trust and governance across any cloud, asset, AI system, or device are non‑negotiable,” he said. “Together with Armis, we will provide real‑time, end‑to‑end proactive protection across all technology estates.”
Armis CEO Yevgeny Dibrov emphasized the urgency of the threat landscape. “AI is transforming the threat environment faster than organizations can adapt. Every connected asset is now a potential vulnerability,” he said. “By joining ServiceNow, we will give customers the intelligence and automation needed to reduce exposure and strengthen security at scale.”
The combined platform will unify Armis’ agentless asset discovery, classification, and risk prioritization with ServiceNow’s workflow automation, CMDB, and AI Control Tower. This will enable organizations to automatically identify exposures, route insights to the right teams, and trigger remediation at scale—eliminating fragmented tools and delivering a single, trusted view of cyber risk.
Armis brings strong market traction, including more than $340 million in ARR, over 50% year‑over‑year growth, and adoption by 35% of the Fortune 100. The transaction is expected to close in the second half of 2026, subject to regulatory approvals, after which Armis’ team will join ServiceNow.
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Tally Solutions today announced the launch of TallyPrime 7.0 in the UAE. As compliance readiness, operational continuity, and automation become essential to SME growth in the region, the latest release brings advanced capabilities that help businesses operate with greater speed, security, and confidence.
SMEs represent more than 94 percent of the businesses operating in the UAE and play a pivotal role in the nation’s digital economy ambitions. The launch reinforces Tally’s long-standing commitment to enabling the UAE’s SME ecosystem as the country accelerates digital transformation under the UAE Vision 2030, Dubai Economic Agenda D33, and the UAE Digital Economy Strategy.
A significant advancement in TallyPrime 7.0 is the strengthened experience of TallyDrive. While it ensures uninterrupted continuity through automated cloud and local backups, its core has always been data security, a principle that has shaped Tally’s technology for decades. With enhanced encryption, improved integrity checks, and a framework designed to keep data entirely in the business’s control, TallyDrive reinforces the belief that connectivity should never compromise privacy. It enables SMEs to adopt digital workflows with confidence, knowing their financial information remains protected and accessible only to them.
The release also boasts a seamless and fully compliant adoption of the UAE’s new national currency symbol. Designed to respect local norms and adhere to Central Bank guidelines, the feature ensures that businesses transition effortlessly the moment they upgrade. The updated symbol is reflected consistently across all invoices, reports, and statements, fully integrated into Tally’s English and Arabic interfaces, enabling businesses to uphold accuracy, professionalism, and regulatory compliance in every document they issue. The release also introduces Smart Find, an advanced universal search capability that lets users instantly locate entries across multiple companies, even with partial information.
Speaking on the launch, Vikas Panchal, General Manager – MENA, Tally Solutions, said: “With the UAE accelerating its digital and economic transformation, SMEs remain central to driving innovation and sustained growth. At Tally, we are closely aligned with this vision, building technology that reflects local needs and strengthens business resilience. Our support for seamless bilingual workflows and the smooth transition to the new currency symbol are part of this commitment to localisation. With enhanced security in TallyDrive, automated backups, and Smart Find helping teams access information instantly, TallyPrime 7.0 delivers both confidence and efficiency. Our purpose remains simple: to reduce complexity and make it easier for SMEs to run and grow their businesses in a fast-evolving UAE.”
Tally has consistently strengthened TallyPrime with features that support the region’s unique needs, like English and Arabic bilingual availability, VAT and Corporate Tax ready compliance tailored for the UAE, and e-invoicing alignment for KSA. As the UAE prepares for its own e-invoicing framework, Tally is actively enabling businesses to be ready for a smoother transition when the mandate comes into effect. The introduction of connected VAT return upload capabilities further simplifies compliance for UAE businesses, reinforcing Tally’s role as a trusted partner in the region.
TallyPrime 7.0 builds on this foundation by offering a smoother upgrade experience, ensuring businesses stay aligned with evolving regulations and new features without disruption. The release marks yet another milestone in Tally’s commitment to the UAE and broader GCC, supported by a strong partner network and dedicated regional support ecosystem.
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NVIDIA announced the NVIDIA Nemotron 3 family of open models, data and libraries designed to power transparent, efficient and specialized agentic AI development across industries. The Nemotron 3 models — with Nano, Super and Ultra sizes— introduce a breakthrough hybrid latent mixture-of-experts (MoE) architecture that helps developers build and deploy reliable multi-agent systems at scale.
As organizations shift from single-model chatbots to collaborative multi-agent AI systems, developers face mounting challenges, including communication overhead, context drift and high inference costs. In addition, developers require transparency to trust the models that will automate their complex workflows. Nemotron 3 directly addresses these challenges, delivering the performance and openness customers need to build specialized, agentic AI.
“Open innovation is the foundation of AI progress,” said Jensen Huang, founder and CEO of NVIDIA. “With Nemotron, we’re transforming advanced AI into an open platform that gives developers the transparency and efficiency they need to build agentic systems at scale.”
NVIDIA Nemotron supports NVIDIA’s broader sovereign AI efforts, with organizations from Europe to South Korea adopting open, transparent and efficient models that allow them to build AI systems aligned to their own data, regulations and values.
Early adopters, including Accenture, Cadence, CrowdStrike, Cursor, Deloitte, EY, Oracle Cloud Infrastructure, Palantir, Perplexity, ServiceNow, Siemens, Synopsys and Zoom, are integrating models from the Nemotron family to power AI workflows across manufacturing, cybersecurity, software development, media, communications and other industries.
“NVIDIA and ServiceNow have been shaping the future of AI for years, and the best is yet to come,” Bill McDermott, chairman and CEO of ServiceNow. “Today, we’re taking a major step forward in empowering leaders across all industries to fast-track their agentic AI strategy. ServiceNow’s intelligent workflow automation combined with NVIDIA Nemotron 3 will continue to define the standard with unmatched efficiency, speed and accuracy.”
As multi-agent AI systems expand, developers are increasingly relying on proprietary models for state-of-the-art reasoning while using more efficient and customizable open models to drive down costs. Routing tasks between frontier-level models and Nemotron in a single workflow gives agents the most intelligence while optimizing tokenomics.
The open Nemotron 3 models enable startups to build and iterate faster on AI agents and accelerate innovation from prototype to enterprise deployment. General Catalyst and Mayfield’s portfolio companies are exploring Nemotron 3 to build AI teammates that support human-AI collaboration.
Nemotron 3 Reinvents Multi-Agent AI With Efficiency and Accuracy
The Nemotron 3 family of MoE models includes three sizes:
Available now, Nemotron 3 Nano is the most compute-cost-efficient model, optimized for tasks such as software debugging, content summarization, AI assistant workflows and information retrieval at low inference costs. The model uses a unique hybrid MoE architecture to deliver gains in efficiency and scalability.
This design achieves up to 4x higher token throughput compared with Nemotron 2 Nano and reduces reasoning-token generation by up to 60%, significantly lowering inference costs. With a 1-million-token context window, Nemotron 3 Nano remembers more, making it more accurate and better capable of connecting information over long, multistep tasks.
Artificial Analysis, an independent organization that benchmarks AI, ranked the model as the most open and efficient among models of the same size, with leading accuracy.
Nemotron 3 Super excels at applications that require many collaborating agents to achieve complex tasks with low latency. Nemotron 3 Ultra serves as an advanced reasoning engine for AI workflows that demand deep research and strategic planning.
Nemotron 3 Super and Ultra use NVIDIA’s ultraefficient 4-bit NVFP4 training format on the NVIDIA Blackwell architecture, significantly cutting memory requirements and speeding up training. This efficiency allows larger models to be trained on existing infrastructure without compromising accuracy relative to higher-precision formats.
With the Nemotron 3 family of models, developers can choose the open model that is right-sized for their specific workloads, scaling from dozens to hundreds of agents while benefiting from faster, more accurate long-horizon reasoning for complex workflows.
New Open Tools and Data for AI Agent Customization
NVIDIA also released a collection of training datasets and state-of-the-art reinforcement learning libraries available to anyone building specialized AI agents.
Three trillion tokens of new Nemotron pretraining, post-training and reinforcement learning datasets supply the rich reasoning, coding and multistep workflow examples needed to create highly capable, domain-specialized agents. The Nemotron Agentic Safety Dataset provides real-world telemetry to help teams evaluate and strengthen the safety of complex agent systems.
To accelerate development, NVIDIA released the NeMo Gym and NeMo RL open-source libraries, which provide the training environments and post-training foundation for Nemotron models, along with NeMo Evaluator to validate model safety and performance. All tools and datasets are now available on GitHub and Hugging Face.
Nemotron 3 is supported by LM Studio, llama.cpp, SGLang and vLLM. In addition, Prime Intellect and Unsloth are integrating NeMo Gym’s ready-to-use training environments directly into their workflows, giving teams faster, easier access to powerful reinforcement learning training.
Get Started With NVIDIA Open Models
Nemotron 3 Nano is availableon Hugging Face and through inference service providers including Baseten, DeepInfra, Fireworks, FriendliAI, OpenRouter and Together AI.
Nemotron is offered on enterprise AI and data infrastructure platforms, including Couchbase, DataRobot, H2O.ai, JFrog, Lambda and UiPath. For customers on public clouds, Nemotron 3 Nano will be available on AWS via Amazon Bedrock (serverless) as well as supported on Google Cloud, CoreWeave, Crusoe, Microsoft Foundry, Nebius, Nscale and Yotta soon.
Nemotron 3 Nano is available as an NVIDIA NIM microservice for secure, scalable deployment anywhere on NVIDIA-accelerated infrastructure for maximum privacy and control.
Nemotron 3 Super and Ultra are expected to be available in the first half of 2026.
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IBM has agreed to buy Confluent for $11 billion. IBM and Confluent will enable end-to-end integration of applications, analytics, data systems and AI agents to drive intelligence and resilience in hybrid cloud environments.
IDC estimates that more than one billion new logical applications will emerge by 2028, reshaping technology architectures across industries. To fuel meaningful outcomes and drive productivity in operations, these applications, as well as AI agents, need access to connected and trusted data – in real time.
“IBM and Confluent together will enable enterprises to deploy generative and agentic AI better and faster by providing trusted communication and data flow between environments, applications and APIs. Data is spread across public and private clouds, datacenters and countless technology providers,” said Arvind Krishna, IBM chairman, president and chief executive officer. “With the acquisition of Confluent, IBM will provide the smart data platform for enterprise IT, purpose-built for AI.”
“Since its founding, Confluent has helped organizations unlock the full potential of their data, driving innovation in an increasingly complex IT landscape. We are extremely proud of the work we’ve done in providing clients with a real-time data streaming platform for the next era of technology, including generative and agentic AI,” said Jay Kreps, CEO & Co-founder, Confluent. “We are excited by the potential to join IBM and to accelerate our strategy with IBM’s go-to-market expertise, global scale and extensive portfolio. I look forward to the future we will build together as Confluent becomes part of IBM.”
The real-time nature of Confluent’s platform is critical for organizations as they leverage data living across all IT environments. Confluent addresses the challenges of today’s technology and data landscape. Confluent excels at preparing data for AI, keeping it clean and connected across systems and applications, eliminating silos inherent in agentic AI.
In the last four years alone, Confluent’s total addressable market (TAM) has doubled from $50 billion to $100 billion in 2025. Confluent’s real-time data and event streaming capabilities, combined with IBM’s AI infrastructure software and Automation offerings, will better position the companies to capture this opportunity.
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