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Discover how organizations across industries have transformed their security posture and achieved measurable success with NetNXT solutions.
Deccan AI
Digital NativesHow Deccan AI Solved Identity & Device Management Across 3 Countries Using JumpCloud — Implemented by NetNXT
Deccan AI is a specialist AI data company that manages sensitive training and evaluation data for frontier AI labs and enterprise clients. Operating across the US, Hyderabad, and Bengaluru, the company works within stringent compliance frameworks — including SOC 2, ISO 27001, and GDPR — and counts organisations like Google and Snowflake among its enterprise partners. Following a $25M Series A, Deccan AI set out to build an identity and endpoint security foundation capable of matching the trust demands of global frontier AI development.Device security and identity governance aren’t optional for us — they’re foundational. A single compromised device or over-privileged account could expose sensitive model development assets. Getting this right isn’t a checkbox; it’s the foundation of every client relationship we have.— Vinod, Senior IT Infra Engineer, Deccan AIManaging Device Identity & User Access Across a Distributed AI Workforce — Without Dropping ComplianceManaging Device Identity & User Access Across a Distributed AI Workforce — Without Dropping ComplianceBefore engaging NetNXT, Deccan AI’s IT and security operations were struggling to keep pace with its growth. Here’s what the team was dealing with:1. No unified visibility across three locations: Teams in the US, Hyderabad, and Bengaluru had no single view of device compliance, access policies, or endpoint health. Each location operated in isolation.2. Manual onboarding and offboarding creating real risk: Contractor access, role changes, and employee exits were managed by hand — leading to orphaned accounts, delayed deprovisioning, and access drift across SOC 2 and ISO 27001 scopes.3. No role-based access policy engine: Annotators, ML researchers, domain experts, and contractors each needed different access profiles. Without a centralized IAM system, enforcing least-privilege was inconsistent and hard to audit.4. Audit readiness was a scramble, not a system: There was no automated, continuous audit trail. Producing compliance evidence for ISO 27001 or GDPR review cycles meant pulling data from multiple places — manually.5. Cross-platform endpoint diversity: The device fleet spanned Windows, macOS, Linux, and mobile. Legacy tools couldn’t enforce consistent security baselines across all of them.
Logistics
Logistics and Supply ChainHow a Growing Logistics Company Resolved Operational Bottlenecks and Improved SLA Adherence by 35% with AI Workflow Automation
The client is a mid-sized logistics and supply chain company operating across multiple cities in India, providing warehousing, transportation, and last-mile delivery services to e-commerce and manufacturing clients.Over the past few years, the company had experienced steady growth driven by increasing demand and a strong client portfolio. Their long-term vision was to evolve into a technology-led logistics partner capable of delivering predictable, scalable, and efficient operations across regions.While the business was growing, the internal operational structure had not evolved at the same pace. This created a widening gap between their growth ambitions and their ability to execute consistently.Key Challenges Hindering Operational EfficiencyDespite investing in core systems such as ERP, warehouse management, and transport management tools, the company was facing persistent operational inefficiencies.Fragmented Systems and Data SilosMultiple platforms were being used across functions, but they were not integrated effectively. Order data, inventory status, and delivery updates were often inconsistent across systems.No unified operational viewManual reconciliation of data across teamsIncreased chances of errors and duplicationHeavy Dependence on Manual CoordinationCritical processes such as dispatch approvals and order updates were still managed through calls, emails, and messaging platforms.High dependency on human interventionDelays in execution due to communication gapsLack of process standardizationLack of Real-Time VisibilityThere was no centralized system providing real-time insights into operations.Leadership relied on delayed reportsLimited visibility into order status and bottlenecksDecisions were reactive rather than proactiveFrequent SLA BreachesThe company had committed delivery timelines to enterprise clients, but there was no structured mechanism to monitor or enforce them.No automated SLA trackingDelays identified only after escalationIncreasing client dissatisfactionInefficient Exception HandlingWhen disruptions occurred—such as delays, routing issues, or inventory mismatches—there was no defined process to handle them.Manual identification and resolution of issuesLack of accountability and trackingExtended resolution timesImpact on Business PerformanceThese operational challenges began to directly affect business outcomes:Order processing timelines increased by 30–40%SLA adherence dropped across key client accountsOperational costs increased due to manual effortDecision-making slowed due to lack of reliable dataThe business struggled to scale efficiently during peak demand periodsAt this stage, the issue was not demand or capability—it was the absence of a connected, automated operational framework.
Porter
Logistics and Supply ChainHow NetNXT Modernized Porter’s Identity and Device Security While Reducing IT Costs by 35%
Porter is one of India’s leading logistics technology companies, enabling fast and reliable goods movement across intra-city and inter-city networks. With operations spanning 20+ Indian cities and international locations in the UAE and Turkey, Porter operates a highly distributed workforce of over 3,000 employees, including corporate teams, warehouse operations, drivers, and field staff.As Porter scaled rapidly, its IT environment struggled to keep pace. To address growing security risks, operational inefficiencies, and rising licensing costs, Porter partnered with NetNXT to modernize its identity and device management architecture using JumpCloud as the core platform.Business Outcomes Delivered35% reduction in IT licensing costs by consolidating five tools into JumpCloud90–95% security compliance across devices and users70% reduction in manual IT provisioning and maintenance workAverage incident response time under 10 minutes for lost or stolen devices87% faster employee onboardingThe Business ChallengeManaging Identity and Devices Across a Distributed Logistics WorkforceLogistics organizations require real-time access control, secure endpoint management, and centralized IT visibility to maintain operational reliability.Before working with NetNXT, Porter relied on an on-premises Active Directory infrastructure along with multiple disconnected IT tools for identity management, MDM, VPN access, and patch management.This fragmented architecture created several operational and security challenges.Fragmented IT Tools Increased Operational CostsPorter managed separate platforms for:Active DirectoryMobile Device ManagementPatch managementIdentity and access controlVPN securityMaintaining these tools increased administrative overhead and pushed licensing costs 40–50% higher compared to a unified identity platform.Mixed Device Environment Created Security GapsPorter’s environment included:60% Windows devices39% macOS devices1% Linux systemsShared Android tablets and warehouse scanning devicesManaging this mixed OS environment using on-premises Active Directory made it difficult to enforce consistent identity policies and endpoint security.Limited Visibility and Weak Device GovernanceMany endpoints remained unmanaged, and shared devices were accessed using common local usernames. Without centralized device management or modern identity governance, Porter struggled to maintain consistent password policies and enforce security standards.Security compliance remained as low as 40–45%, increasing operational risk.
Elucidata
HealthcareJumpCloud Identity & Device Management Implementation Case Study: How Elucidata Strengthened Security and IT Visibility with NetNXT
Elucidata is a biotechnology company dedicated to accelerating drug discovery and development by enabling researchers and pharmaceutical teams to work with complex scientific datasets more effectively.At the center of their innovation is Polly, a cloud-based platform that helps scientists clean, harmonize, and analyze large-scale multi-omics datasets. By transforming fragmented biological data into structured insights, Polly helps research teams move faster from raw data to discoveries.Behind such a platform is a critical requirement: secure, scalable, and reliable IT infrastructure.Rakesh Gokuldas, who leads IT operations and cybersecurity at Elucidata, ensures the organization’s infrastructure remains secure while supporting the company’s mission of advancing life-science innovation.My role is to make sure our IT environment stays secure, efficient, and reliable so the business can move with confidence.— Rakesh Gokuldas, Senior Manager – IT & Security, ElucidataAs the company scaled its platform and expanded its teams across cloud environments, strengthening identity and device management became a key priority.The Challenge: Managing Identities, Devices, and Access Without a Unified FrameworkBefore implementing a modern identity and access management solution, Elucidata faced several operational and security challenges.There was no aligned approach to device management or user identity governance, which made it difficult to maintain consistent security policies across systems.Key challenges included:Lack of Centralized Device ManagementThe organization did not have a unified Mobile Device Management (MDM) framework to track and manage endpoints.Limited Identity GovernanceUser identity management and access control lacked a standardized framework, increasing the complexity of managing permissions across systems.Absence of a Zero Trust ModelWithout structured access policies or centralized identity control, implementing a Zero Trust security model was not possible.Limited Visibility Across Devices and UsersThe IT team had limited insight into devices, users, and access points, making security monitoring and policy enforcement more challenging.Distributed Teams and Cloud InfrastructureWith teams operating across cloud environments and distributed workflows, managing identities and devices securely required a more modern, cloud-first solution.For a technology-driven biotech organization, these challenges created operational inefficiencies and potential security risks that needed to be addressed.
Shahi Exports
ManufacturingShahi Knits Centralizes Branch Security and Zero Trust with NetNXT and Cato SASE
Shahi Group operates multiple business verticals under Shahi Exports. This transformation was undertaken specifically for Shahi Knits, one division of Shahi Exports, covering 22 operational units.The Shahi Knits division operates distributed production environments that rely heavily on stable connectivity and consistent security standards. Over time, each unit developed its own approach to managing network hardware, firewalls, patching, and local security practices. While functional, this decentralized model created gaps in centralized visibility, governance, and network standardization across the division.To address this, Shahi Knits partnered with NetNXT to deploy a Cato SD-WAN and SASE architecture, transforming how network security, user access, and branch connectivity were managed across its 22 units.Key Outcomes at a GlanceCentralized network and security governance across 22 Shahi Knits unitsRemoval of branch firewalls and standalone security hardwareUnified dashboard for traffic, threat, and policy visibilityZero Trust access for remote and international usersSimplified operations with reduced infrastructure overheadChallenge: Fragmented Security Across 22 UnitsBefore this transformation, the IT and security environment within the Shahi Knits division was disintegrated across units.Each unit independently managed:Security standards and firewall configurationsHardware lifecycle and patching practicesNetwork troubleshooting and monitoringThis made it difficult for the central IT team to track:Which units were running outdated software patchesWhere hardware had aged or become vulnerableWhether consistent security standards were enforcedHow to securely enable remote access for employees traveling internationallyThe division required an integrated network, a centrally governed security posture, and a scalable architecture that eliminated dependency on multiple local security solutions.
Arya ag
EnergyArya.ag’s Digital Transformation: Empowering Agri-Tech Growth with NetNXT and JumpCloud
Arya.ag, a pioneering agri-tech platform, is transforming India’s agricultural value chain by integrating warehousing, financing, and market linkages. To scale its mission securely across 27 states, Arya.ag needed a future-ready IT foundation.The Client ObjectiveArya.ag’s ambition is bold: to store 10% of India’s agricultural produce and prepare for a successful IPO. Achieving this required a secure, unified IT platform to manage thousands of diverse devices and users across India.To make this vision a reality, Arya.ag partnered with JumpCloud, a modern open directory platform, and NetNXT, a Tier 1 JumpCloud partner with over 11 years of expertise in identity, security, and compliance. Together, they set out to build a foundation for scalable, secure growth.What’s the Challenge: Scaling Securely Across a Diverse NationArya.ag faced a unique combination of challenges:A 4,000+ distributed workforce, including 3,000+ untrained warehouse staff.A fragmented device environment with Windows, macOS, Linux, and Chromebooks.A lean IT team of just 4 supporting users across 27 states.Compliance levels stuck at 60%, below the threshold required for IPO readiness.Vulnerable Wi-Fi networks and inconsistent application access management.“With a diverse workforce using everything from Mac and Linux to Windows, we needed a single solution. On top of that, we also needed a single sign-on and a way to protect our Wi-Fi. We needed something to secure everything.” — Jatinder Alagh, CTO, Arya.ag
LambdaTest
SaaSHow the LambdaTest Saves 50% of IT Time with JumpCloud and NetNXT?
About LambdaTest’s Vision and IT LeadershipLambdaTest is a leading cloud-based test orchestration and execution platform, serving millions of testers and developers worldwide. Its mission is to help enterprises, agile teams, and open-source projects release quality software faster.To achieve this, LambdaTest needed IT systems that could scale globally while remaining secure, efficient, and employee-friendly.When Director of IT, Gaurav Vedi, joined in 2021, his role was clear:Build a future-ready IT foundationEnsure seamless employee experienceBalance security, compliance, and efficiencyWith teams operating across geographies in a hybrid model, these challenges became mission-critical.The ChallengesLambdaTest’s IT hurdles weren’t about broken tools, but about anticipating scale:Identity and Access Management: Multiple logins, access delays, and constant password resets.Device Management: Lack of centralised control across Windows, macOS, and Linux devices.IT Operations: Over 60% of IT bandwidth wasted on end-user issues such as onboarding, offboarding, and system formatting.Compliance: Preparing for SOC and ISO certifications highlighted compliance gaps.User Productivity: Access problems slowed employees, hurting efficiency and satisfaction. “Before JumpCloud, our IT team spent the majority of time firefighting user issues. We needed a smarter way to scale.” — Gaurav Vedi, Director of IT, LambdaTest
Atomicwork
Digital NativesHow Atomicwork Migrates form Multi-MDM to JumpCloud in 3 Weeks with Zero Downtime
Atomicwork is reimagining IT and enterprise service management for the AI era. Built as an AI-native, agentic platform, Atomicwork helps organizations eliminate repetitive service work by delivering instant, contextual employee support directly within Slack, Microsoft Teams, email, and the browser.As a fast-growing, execution-driven company, Atomicwork expects internal IT to be as efficient as the solutions it delivers to customers. However, its internal device and identity management setup was creating operational drag rather than enabling scale.To eliminate complexity and regain control, Atomicwork partnered with NetNXT to migrate from a fragmented multi-MDM environment to a unified JumpCloud platform.Key Outcomes at a GlanceMigration Time: Under 3 weeksDowntime: ZeroOnboarding Time Reduction: 40–50%Device Compliance: Near 100%Cost Savings: Thousands of dollars annuallyThe ChallengeThe Cost of a Fragmented Multi-MDM EnvironmentBefore adopting JumpCloud, Atomicwork relied on multiple device management tools to support different operating systems. Intune was used for Windows and Ubuntu devices, while Kandji managed macOS endpoints.This multi-MDM approach created several operational and security challenges:Duplicated IT EffortOnboarding required separate workflows for different operating systems. IT teams had to repeat tasks for macOS and Windows devices, increasing administrative overhead and slowing down employee provisioning.Security Blind SpotsMaintaining consistent security baselines across multiple platforms was, in the team’s words, “pretty tiresome.” Without a single source of truth, compliance checks required constant manual validation, increasing the risk of configuration drift.Lack of a Unified Management ViewWhile individual tools worked well for specific OS types, there was no centralized console to manage users, devices, identities, and security policies holistically. This limited visibility and reduced confidence in long-term scalability.Atomicwork needed a unified identity and device management foundation that aligned with its automation-first philosophy.
Fintech
FinanceAdvancing Digital Efficiency for a Fintech Enterprise with AI Automation Services
The fintech industry operates in an environment where user expectations, transaction volumes, and compliance demands are all rising simultaneously. Customers want instant approvals, real-time payment processing, zero friction, and absolute security. Regulators expect stronger oversight, better reporting, and consistent audit trails. Investors push for operational scalability without ballooning cost structures.In this high-pressure ecosystem, one mid-sized fintech firm found itself reaching the limits of manual workflows. They had a strong product, solid technology base, and a growing customer network—but their internal operations couldn’t keep pace with their expansion. Delays in verification cycles, inconsistencies in manual data processing, and the rising cost of operational teams were creating a bottleneck in both customer experience and growth.They turned to AI Automation Services to solve operational inefficiencies, reduce errors, and give their teams a scalable backbone capable of supporting fast growth.Key Challenges Identified1. High Dependency on Manual ProcessesCustomer onboarding, KYC verification, transaction monitoring, and fraud checks involved multiple teams and manual reviews. Processing times increased during peak load, leading to delays and customer drop-offs.2. Data Overload Across Multiple ChannelsThe company handled structured and unstructured data—bank statements, identity documents, invoices, emails, support tickets, logs, app data, and struggled to extract insights or validate information quickly and consistently.3. Escalating Operational CostsTo keep up with transaction growth, the company kept expanding its operations team. This approach didn’t scale well, and costs rose faster than revenue.4. Inconsistent Risk and Fraud DetectionManual checks created inconsistencies. False positives increased, while certain suspicious patterns were missed due to human error or time constraints.5. Limited Visibility and Slow Decision-MakingLeadership had no clear, real-time view of verification status, user drop-offs, fraud flags, or operational bottlenecks. Decision cycles were slow because reporting was mostly manual.These challenges were impacting customer satisfaction, platform reliability, and revenue opportunities. AI Automation wasn’t a luxury, it was a necessary step to stabilize operations and scale efficiently.
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