Nidhi Jain

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How can leaders make IAM work better with AI?

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Companies across sectors are increasingly embracing robotics for efficiency gains, labor optimization and cost savings. But introducing robots into human-centered environments isn’t just a technical rollout. It’s a behavioral, cultural and operational shift that changes how work gets done minute to minute, how safety is managed, and how employees interpret and react to what’s happening around them. Before deploying robotics at scale, leaders must think through how people will read a robot’s intent, when they’ll step in, how accountability will work, and what happens when something goes wrong. Below, members of Forbes Technology Council explore key human-robot interaction dynamics that organizations must be prepared to manage.

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As cyberattacks grow faster, more automated and more convincing, technology alone is no longer enough to keep organizations secure. Many of today’s most damaging threats succeed not because digital systems fail, but because of human behavior, including trusting too much in AI and automation, allowing smart security habits to fall by the wayside, or succumbing to emotional manipulation. Understanding where human behavior introduces risk and how small changes can strengthen resilience is increasingly critical as attackers refine their tactics. Below, members of Forbes Technology Council highlight human-centered cybersecurity risks leaders should not ignore, along with practical steps to reduce exposure and improve overall security posture.

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When AI-driven advantage depends on moving fast and scaling globally, organizations hit a familiar wall: data sovereignty. As countries tighten rules around how and where data can be stored and processed, leaders face a growing tension between protecting sensitive information and unleashing the full power of hyperscale innovation. The challenge isn’t choosing one or the other—it’s reconciling both. To stay competitive, I ask members of Cloud Computing Group, a community that I lead through Forbes Technology Council, for ways that organizations can build architectures that honor local compliance while preserving interoperability.

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Real-world asset tokenization is moving from a buzzy concept to a serious business strategy, and it’s pulling in industries that rarely cross paths. At its core, tokenizing assets means converting ownership of something physical—like property, equipment or even carbon credits—into digital tokens that can be traded more easily. In theory, everything from capital raising to asset management becomes faster, more flexible and far less tied to paperwork than the systems businesses have relied on for decades. While the use cases vary, the underlying trend is clear: Tokenization is pushing businesses to think beyond traditional ownership and toward a future built on fluid, programmable value. Below, members of Forbes Technology Council discuss ways the tokenization of real-world assets could transform how businesses operate over the next few years.

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Global tech hardware supply chains have been stretched thin as geopolitical tensions, material shortages and infrastructure fragility collide with rising demand for compute power and connectivity. Even small disruptions can ripple across industries that rely on tight production timelines and highly specialized components.  The stakes keep growing as organizations push toward more ambitious digital transformation goals. Amid these pressures, tech leaders are rethinking long-standing assumptions and prioritizing supply chain resilience. Below, members of Forbes Technology Council share lessons they believe will help leaders build stronger, more adaptable sourcing strategies for the years ahead.

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Employees equate more access with more productivity, and leaders hesitate to challenge that assumption.

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Decentralized physical infrastructure networks, or DePIN, could represent the next step in how society builds and maintains essential systems. In these models, members of the public contribute to running real-world networks—such as wireless coverage, energy grids or sensor deployments—by supplying hardware or resources, creating infrastructure powered by community participation instead of large corporations. It’s an ambitious idea, and it comes with significant challenges—DePIN projects will need to match the stability, reliability and ease of use people expect from traditional providers if they hope to scale beyond early adopters. Below, members of Forbes Technology Council share the biggest hurdles DePIN networks must overcome to move past experimentation and earn mainstream confidence.

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Keeping systems secure without jeopardizing reliability, productivity or customer trust is a high-stakes responsibility for IT teams. Reactive or ad hoc patching can unintentionally increase risk by creating blind spots or triggering avoidable disruption. Smart patching that leverages analytics, automation and iteration reduces risk by making updates a regular part of operations instead of unpredictable, disruptive events. Below, Forbes Technology Council members share how their teams integrate patching in ways that strengthen security while protecting stability and business continuity.

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Smart businesses know that mobile apps aren’t just another service channel—they’re an invaluable source of information on customer experience. By tracking mobile app data, design teams can spot friction, map real user journeys and get an unfiltered glimpse at customer sentiment. By acting quickly on those insights—sometimes in real time—they can improve CX, minimize churn and unlock a genuine competitive edge. Forward-looking teams don’t wait for postmortem reports or quarterly dashboards; they use mobile telemetry to detect intent, trigger interventions and even close feedback loops before a customer ever asks for help. Below, members of Forbes Technology Council share practical ways businesses are turning mobile behavior data into decisive, real-time CX improvements.

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“Privilege creep,” the gradual accumulation of unnecessary access rights by employees, is a growing but often invisible risk.

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From communication latency and radiation-induced glitches to orbital debris and cyber vulnerabilities, incident response in space and aerospace environments brings unique and often high-stakes challenges. When things go wrong in orbit, no one can intervene in real time—distance, delay and the sheer cost of assets turn every second into a critical window to prevent mission failure or the loss of vital infrastructure. As satellites, spacecraft and supporting ground systems become foundational to global navigation, defense and commerce, the urgency of solving these problems grows. Below, members of Forbes Technology Council share some of the most challenging—and pressing—incident response hurdles in space and aerospace and explain why addressing them is vital to protecting innovation and infrastructure both on and beyond Earth.

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Every business leader knows to protect their servers and firewalls, but cybercriminals rarely stop at the obvious. From Internet of Things devices and building access systems to AI tools and even price tags, overlooked vulnerabilities can open the door to data theft, financial loss and reputational damage. Failing to secure these hidden entry points doesn’t just risk downtime—it can put an entire business at risk. As attackers expand their reach beyond traditional IT infrastructure, organizations must take a broader view of where their risks really lie. To help companies strengthen their defenses where threats often begin, Forbes Technology Council members share commonly overlooked hackable systems and the practical steps leaders can take to secure them.

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Collaboration platforms are mission-critical tools for modern workplaces, connecting teams, streamlining workflows and enabling faster decision-making. But choosing and deploying one can be a complicated process. Poor configurations can lead to tool sprawl, messy permissions, security gaps, data silos, broken automations and even employee resistance—all of which undermine productivity and trust. The good news: Most of these challenges can be avoided or fixed. With clear governance, thoughtful setup and a user-first approach, organizations can unlock the full value of their collaboration tools. Below, members of Forbes Technology Council share the most common configuration pitfalls they see—and how to solve them.

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From factory floors to remote digital workspaces, worker safety is being reshaped by technology. Advances in artificial intelligence, wearables, automation and immersive tools aren’t just reducing accidents and cybersecurity incidents. They’re also enabling companies to predict and prevent them, shifting from reactive measures to proactive strategies that more effectively protect employees. Workplace risks are no longer confined to heavy machinery or hazardous materials. In an era where digital threats are as disruptive as physical hazards, safeguarding workers means protecting both health and data. Below, members of Forbes Technology Council highlight the tools and advancements they see as most significant in improving worker safety.

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Shadow AI is already here. The companies that take action now won’t just stay compliant, they’ll move faster, stay safer and make better decisions with AI on their side.

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Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw clinical trial data into a standardized format for submission to agencies such as the FDA. While SDTM mapping improves consistency and accelerates review, it also raises significant compliance and privacy challenges. Every step, from data anonymization to secure transfer protocols, is essential for protecting participants’ trust and preserving the integrity of the research process. Below, members of Forbes Technology Council share best practices for safeguarding sensitive patient data during SDTM mapping, offering practical strategies to balance regulatory requirements with privacy protections.

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While financial contributions from tech companies can certainly help worthy causes, philanthropy doesn’t have to stop at writing checks. Tech organizations can drive meaningful change in many ways, from sharing their expertise to engaging directly with schools, nonprofits and local communities. When tech companies commit resources such as employee time, technical skills or access to platforms, they deepen employee engagement by embedding service directly into company culture—and create opportunities for community organizations to scale their impact more effectively. Below, members of Forbes Technology Council highlight meaningful approaches that extend beyond monetary giving and create lasting value for the communities they support.

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Cybersecurity threats are growing more complex—and often, harder to detect. As companies expand their tech stacks and accelerate digital operations, they may be ignoring hidden risks rooted in shadow systems, human behavior and outdated assumptions. Below, industry experts from Forbes Technology Council share overlooked or unspoken issues that are quietly increasing cybersecurity risk in organizations across industries. Their insights on factors ranging from vulnerable no-code tools to compliance theater to digital clutter can help companies spot critical gaps in their cybersecurity strategies.

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For industries and organizations running on legacy applications, modernization can significantly improve efficiency, security and scalability. Whether the challenge involves monolithic systems, outdated frameworks or hardcoded business logic, the process demands a clear roadmap and a sharp eye for what to preserve versus what to rebuild. Below, members of Forbes Technology Council share essential tips for modernizing with intent and avoiding common pitfalls. For technology professionals leading these efforts, knowing where to begin—and what to sidestep—can save months of costly rework.

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Managing access safely in a decentralized, SaaS-first world demands intelligence and the ability to govern dynamically, continuously and contextually.

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Technical debt is a hidden weight that can quietly undermine the long-term stability of both products and platforms. Yet addressing it often feels at odds with the pressure to keep building and releasing. Experienced tech leaders know it’s possible to both strengthen foundations and deliver new capabilities—it just takes careful resource management. Below, members of Forbes Technology Council share practical strategies they’ve used or observed to reduce technical debt without slowing development. From disciplined processes to small, consistent improvements, these approaches show how thoughtful planning can support innovation and sustainability across systems.