
Tech Mahindra to transform autonomous network operations with new large telco model
Barcelona, Spain – Tech Mahindra (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries, announced a new Multi-Modal Network Operations Large Language Model for Telcos, developed using the NVIDIA AI Enterprise software and AWS Cloud infrastructure. The model is based on Llama 3.1 8b instruct model and is heavily customized for telecom networks, by training on large network datasets and applying the latest generative AI and agentic AI frameworks. It is designed to manage vast structured data (events, alarms, counters), unstructured data (logs, MOPs, SOPs, images, text, marketing), and all relevant network data, allowing proactive issue resolution and enhanced service quality.
This model enables the transformation of traditional telecom networks into fully autonomous networks (L4 and above). While telcos have been implementing AI use cases with a transactional approach, achieving true operational efficiency requires a holistic embedding of AI capabilities within the network. Tech Mahindra, working with NVIDIA and AWS, is facilitating this transition and helping the telecom industry harness the full potential of AI for enhanced performance and operational excellence. This collaboration brings together Tech Mahindra's network automation platform ,netOps.ai, Tech Mahindra Optimized Framework TENO that incorporates NVIDIA AI Enterprise software, including NVIDIA NeMo™ and NIM microservices, along with AWS's Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Kubernetes Service (Amazon EKS). This model empowers telecom operators to transform their networks into intent-based networks, embodying the principles of Self-Driving Networks (Zero x and Self x).
Manish Mangal, Chief Technology Officer, Telecom & Global Business Head, Network Services, Tech Mahindra, said, 'The shift towards autonomous networks has become imperative within the telecom industry. Our collaboration with NVIDIA and AWS is pioneering a Multi-Modal Network Operations Large Model designed to enhance security, automate network management, and improve operational efficiency. Through this work, we will empower telcos to reduce operational costs and pave the way for a more agile and resilient network environment.'
In the initial phase of the development, the Multi-Modal Network Operations Large Model will prioritize improving operational efficiency through 'Intelligent Observability', introducing two critical AI-driven use cases. First, the Dynamic Network Insights Studio will provide a unified 360-degree AI-powered network observability solution, offering deep insights into network performance for AI teams, network operations, and C-suite executives. Complementing this, the second use case, Proactive Network Anomaly Resolution Hub, will be an advanced AI-powered auto-resolution system that will autonomously detect and resolve network anomalies such as alarms or events with zero human intervention.
Chris Penrose, Vice President of Telco Business Development, NVIDIA, said, 'The introduction of large telco models that understand the network language is a transformational moment for the telecom industry, helping to deliver AI-accelerated operations. Large telco models like Tech Mahindra's new Multi-Modal Network Operations Large Model — based on NVIDIA AI Enterprise — offer the foundation for creating multiple AI agents that will help enable fully autonomous networks.'
Additionally, the solution architecture will seamlessly integrate AI-driven intelligence into network operations, encompassing three key components including first efficient data ingestion from the network; second, data curation and model customization to enhance AI training; and third, automated action implementation for quick resolution and restoration of services.
Global AI spending in telecom is running into multi-billion-dollar investments; this collaboration reinforces Tech Mahindra's commitment to driving AI innovation in telecom and redefining network operations through intelligent automation, deep learning, and multimodal AI models. Further to this collaboration, Tech Mahindra's long-term vision is leveraging the Multi-Modal Network Operations Large Model to impact other business use cases as well.
About Tech Mahindra
Tech Mahindra (NSE: TECHM) offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed. With 150,000+ professionals across 90+ countries helping 1100+ clients, Tech Mahindra provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design, AI & analytics, and cloud & infrastructure services. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative's Terra Carta Seal, which recognizes global companies that are actively leading the charge to create a climate and nature-positive future. Tech Mahindra is part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federation of companies. For more information on how TechM can partner with you to meet your Scale at Speed™ imperatives, please visit https://www.techmahindra.com
For more information on Tech Mahindra, please contact: media.relations@techmahindra.com
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Arabian Post
5 hours ago
- Arabian Post
Swift Scanner Kingfisher Exposes Active Code Secrets
A high‑performance tool named Kingfisher, developed by MongoDB, now enables developers and security teams to detect and validate active secrets—such as API keys and credentials—in codebases in real time. Its release addresses shortcomings in existing scanners by verifying through live checks against cloud services. Kingfisher began as a personal project in July 2024 by MongoDB security engineer Mick Grove, who was dissatisfied with current open‑source secret scanners. Internal testing confirmed that by April 2025 it had become a core part of MongoDB's internal security workflows—scanning pre‑commit code, CI/CD pipelines, Git histories and on‑premise files to identify active secrets. The tool has now been made publicly available under the Apache 2.0 licence. Introducing Kingfisher: The Open Source Secret Scanner that Finds and Validates Leaked Secrets Fast ADVERTISEMENT Crafted in Rust, Kingfisher employs Intel's Hyperscan for high‑speed regex matching and Tree‑sitter for language‑aware source parsing across more than 20 languages. It runs multi‑threaded scans on repositories and file systems and adds entropy‑based rules to filter high‑confidence detections. The standout feature is active validation: when a potential secret is found, the tool attempts to authenticate against external APIs—such as AWS, Azure, GCP or Stripe—to determine if it remains functional. This real‑time validation sharply reduces false positives. For example, Kingfisher identified one active AWS secret and four inactive Slack tokens in illustrative internal tests. The tool ships with over 700 built‑in detection rules and supports custom configurations via YAML, making it extensible to new credential types. Performance benchmarking shows Kingfisher outpaces popular tools such as TruffleHog and Gitleaks in terms of runtime, offering a faster, more efficient scanning solution. Its cloud‑agnostic validation ensures organisations obtain unified visibility over secrets, irrespective of the cloud provider in use. Using Kingfisher aligns with compliance demands, particularly those of the Supply‑chain Levels for Software Artifacts. It aids organisations working toward SLSA Level 2 and beyond by preventing embedded credentials in source code and safeguarding build integrity during the software supply chain lifecycle. Unlike cloud‑hosted secret scanning, Kingfisher operates entirely on‑premise or within authorised infrastructure. This ensures that detected secrets do not leave the user's environment, addressing data privacy and sovereignty concerns. Kingfisher is accessible across major operating systems, including Linux, macOS and Windows. Installation options range from pre‑built binaries to source compilation via Docker. It also integrates seamlessly with GitHub, GitLab, and CI/CD systems, enabling detection at pre‑commit, pull‑request and post‑merge stages. Given the surge in credential‑related breaches and the market's growing concern over hidden, hard‑coded secrets, Kingfisher directly responds to a critical need. Credential exposure remains a leading cause of data breaches, with stolen secrets frequently exploited by automated botnets and sold on underground markets. By combining live validation, speed, and extensibility, Kingfisher represents a meaningful shift in the secret‑scanning ecosystem. It not only identifies potential security issues, but confirms those that pose genuine risk—allowing developers and security engineers to focus remediation efforts on threats that truly matter. Its release as open‑source ensures broader access: security teams, DevOps practitioners and smaller organisations can now employ an enterprise‑grade scanner without incurring licensing fees or relying on proprietary systems. MongoDB's publication of Kingfisher thus reinforces its commitment to open‑source solutions that empower the wider tech community.


TECHx
6 hours ago
- TECHx
Fortinet Expands Cloud Security Offerings on AWS
Home » Top stories » Fortinet Expands Cloud Security Offerings on AWS Fortinet has announced major updates to its cloud security solutions during its Security Day event in Abu Dhabi. The company introduced enhancements to Lacework FortiCNAPP, aiming to simplify the protection of applications and workloads across hybrid and multi-cloud environments. Additionally, Fortinet revealed that several of its key services are now available in AWS Marketplace. These include FortiAppSec Cloud, FortiMail Workspace Security, FortiNDR Cloud, FortiSIEM, and Fortinet Incident Response Services. Nirav Shah, Senior Vice President, Products and Solutions at Fortinet, stated that the company is focused on accelerating secure cloud transformation. He added that expanding offerings in AWS Marketplace and enhancing cloud-native tools supports this goal. Fortinet reported several significant enhancements to Lacework FortiCNAPP: Real-Time CloudTrail Alerting reduces alert latency to under 15 minutes. Explorer (Security Graph) allows interactive visualization of attack paths. Agentless Windows Scanning identifies risks without requiring software agents. Fleet Management offers detailed visibility across environments. Moreover, Fortinet introduced new service bundles that include DAST, CDN, and SoC-as-a-Service, powered by AI-driven zero-day threat protection. The company also announced the expansion of its AWS Marketplace presence. This enables AWS customers to access more Fortinet products under their existing AWS accounts. It also supports use of AWS Enterprise Discount Program (EDP) commitments. New services now listed on AWS Marketplace include: FortiAppSec Cloud for WAAP FortiMail Workspace Security for SaaS protection FortiNDR Cloud for AI-driven detection FortiSIEM for scalable incident response Fortinet has achieved the AWS Security Incident Response Specialization. This confirms its capability to provide streamlined incident response in collaboration with AWS security experts. The company emphasized its unified approach to cloud-native security. Instead of separate solutions, Fortinet offers an integrated platform combining WAAP, NDR, SIEM, CNAPP, and workspace security. Fortinet's flexible FortiFlex licensing model was also highlighted. It supports daily usage-based pricing, elastic scaling, and alignment with existing cloud spending commitments. These updates reflect Fortinet's ongoing commitment to helping organizations protect every application, network, and cloud edge with comprehensive, cost-effective security. 'Whether you are born in the cloud or migrating business workloads, Fortinet delivers a unified cloud native application protection platform to empower organizations who adopt a multi-cloud strategy, securing their workloads, applications, and environments with agnostic visibility. This includes posture management and runtime security across the entire CICD lifecycle without compromising performance or is expanding its security cloud delivered offerings on AWS marketplace with FortiNDR, FortiSIEM, and FortiAppSec to provide real-time detection, contextual enterprise-wide visibility, cloud threat hunting, automated response and application security at cloud speed and scale,' said Alain Penel, VP of Middle East, Turkey & CIS at Fortinet.


Channel Post MEA
7 hours ago
- Channel Post MEA
NVIDIA And Schneider Electric Partner To Develop AI Factories
Schneider Electric has announced a partnership with NVIDIA to accelerate the development and deployment of sustainable, AI-ready infrastructure, known as 'AI factories.' Both companies are advancing research and development (R&D) initiatives in cooling, power, building management, and control systems for both digital and physical AI data centers. Leveraging its expertise in AI-ready infrastructure, sustainability, and grid coordination, Schneider Electric and NVIDIA are together responding to the European Commission's 'AI Continent Action Plan,' which outlines a shared mission to set up at least 13 AI factories across Europe, while establishing up to five AI gigafactories. This unique global partnership brings together the world leaders in sustainability and accelerated computing to support the European Union's AI infrastructure ambitions and its 'InvestAI' initiative, which plans to mobilize a €200 billion investment in AI. 'Schneider Electric and NVIDIA are not just partners — our teams are driving advanced R&D, co-developing the infrastructure needed to power the next wave of AI factories globally,' said Olivier Blum, CEO of Schneider Electric. 'Together, we've seen tremendous success in deploying next-generation power and liquid cooling solutions, purpose-built for AI data centers. This strategic partnership — bringing together the world leaders in sustainability and accelerated computing — allows us to further accelerate this momentum, pushing the boundaries of what's possible for the AI workloads of tomorrow.' 'AI is the defining technology of our time—the most transformative force reshaping our world,' said Jensen Huang, founder and CEO, NVIDIA. 'Together with Schneider Electric, we are building AI factories: the essential infrastructure that brings AI to every company, industry, and society.' Schneider Electric has also unveiled a suite of AI-ready data center solutions, including new EcoStruxure™ Pod and Rack Infrastructure. Designed to accelerate AI developments globally, the Prefabricated Modular EcoStruxure Pod Data Center is a scalable, pod-based architecture, enabling rapid AI data center deployment. As part of this, a new Schneider Electric Open Compute Project (OCP) inspired rack system has also been developed to support the NVIDIA GB200 NVL72 platform that uses the NVIDIA MGX modular architecture, integrating Schneider Electric into NVIDIA HGX and MGX ecosystems for the first time. These announcements build on a series of milestones shared by the two global leaders earlier this year, including Schneider Electric and ETAP unveiling the world's first digital twin for electrical and large-scale power systems in AI factories using the NVIDIA Omniverse Blueprint. Together, Schneider Electric and NVIDIA have also co-developed a series of full electrical and liquid cooling-based reference designs as an approved CDU vendor for NVIDIA — many of which also include solutions from Motivair's liquid cooling portfolio, following its acquisition by Schneider Electric in March 2025. Through this expanded and deepened strategic partnership, Schneider Electric and NVIDIA will continue to accelerate their infrastructure initiatives, fast-tracking new product rollouts and reference designs to build the AI factories of the future.