Year: 2026

Why corporates must understand the differ- ence between identification and verification Dr. Rajiv Mathur, PartnerMIGS Global Consulting Pvt. Ltd. Every morning at 9 o’clock, the same scene plays out in thousands of corporate offices across India. Employees arrive at the gate, show their ID cards, scan a QR code, smile at the security guard, and walk inside. The process looks smooth, efficient, and modern. Managers feel satisfied that their workplace is secure. But one day, a question quietly arises. ‘What if the person who walked in was not the person he claimed to be?’ This is where the difference between identification and verification becomes not just a technical issue, but a story about trust, risk, and resilience. Identification means knowing a name. Verification means proving the person is genuine. Most organizations stop at knowing the name. Very few check the truth. A small story with a big lesson Mr. Verma worked in a large corporate campus in Gurugram. He had an official ID card with his photograph and employee number. One evening, after a long day, he left his ID card on the tea stall near the metro station. By the next morning, it was gone. Two days later, a man entered the same office using that ID card. He looked somewhat similar to Mr. Verma. He wore formal clothes. He walked confidently. The security guard saw the card, saw the photo, and let him in. No one asked him to prove who he was. No system checked his face against stored records. No alert was generated! The office had performed identification. It had not performed verification. Nothing serious happened that day, but it could have. And that is what makes the story dangerous. Security failures are not measured by what happened yesterday, but by what can happen tomorrow. Understanding the difference in simple words I dentification is when someone says, “I am Rajesh,” and shows something to support that claim. It could be a card, a number, or a QR code. The system accepts that claim and moves on. Verification is when the system asks, “Are you really Rajesh?” and checks evidence. It may match a face, a fingerprint, or a secure digital record. Only after that proof is accepted does the system allow entry. Identification is like reading the name on a visiting card however, verification is like meeting the person and matching the face.One tells you what is presented. The other tells you what is true. Where Aadhaar enters the story India created Aadhaar to give every citizen a digital identity. It was a historic and powerful step. Aadhaar is now used in banking, telecom, government schemes, and many other services. It has brought efficiency and inclusion to millions of people. But Aadhaar is mainly an identification platform, not a complete verification system for corporate security operations. Aadhaar belongs to the ecosystem of UIDAI Aadhaar and was designed for national identity, not for managing access inside offices, factories, ports, or laboratories. Aadhaar can say, “This Aadhaar number exists.” It does not always say, “This person standing here is truly the owner of this identity in this operational context.” That difference is very important. The vulnerability of identification In many organizations today, Aadhaar QR codes or Aadhaar numbers are used as a proof of identity for entry or verification. This creates a feeling of safety because Aadhaar is trusted nationally. But trust without checking becomes blind trust. Aadhaar cards can be photocopied, QR codes can be shared, numbers can be leaked, and photos can be edited. When Aadhaar is used only as an identifier, it becomes just another card. And like any card, it can be lost, stolen, or misused. Imagine a contractor working at a construction site of a large refinery. His Aadhaar card is used for entry every day. One day, someone else borrows that card and enters. The system records the Aadhaar number, not the real person. If an incident happens, the company will have no way to know who truly entered. The system knew an identity. It did not know the human being. Why corporates need more than identity Corporates today are not just protecting buildings. They are protecting data, intellectual property, machinery, and human life. A wrong person in the wrong place can cause damage that cannot be reversed. Factories run with hazardous chemicals, IT parks handle sensitive data, hospitals deal with patient records, airports manage national security zones, ports handle cargo and customs. In all these critical places, just knowing a name is not enough – one must know the truth. This is why verification is stronger than identification. Verification actively checks authenticity. It does not assume honesty. It tests it. Resilience means the ability of a system to continue safely even when something goes wrong. A resilient system is built on verification, not on assumption. A day in two different offices Let us imagine two corporate offices. In the first office, the guard checks the ID card and allows entry. The system logs the card number. That is identification. In the second office, the system scans a QR code and matches the face of the person with a stored secure record. It checks whether the person is allowed in that area at that time. It logs the entry and alerts if something does not match. That is verification. One day, an intruder tries to enter both offices using a stolen card. The first office fails quietly. The second office stops him at the gate. Which office is resilient? The second one. The human side of verification Verification does not only protect the organization. It also protects honest employees. When systems verify people properly, there is clarity about who was present, when, and where. This prevents false blame and confusion. Imagine an incident in a laboratory. Without verification, anyone whose ID card was used that day can be blamed. With verification, the system knows exactly who entered. Verification creates. accountability. Identification creates records. There is a big difference. Why this matters…

We are no longer debating whether AI belongs in network security – that conversation is over. The real question facing network and infrastructure leaders today is whether their organizations are moving fast enough to harness it meaningfully. Modern networks have become staggeringly complex – sprawling across hybrid environments, multi-cloud architectures and thousands of connected endpoints, generating torrents of traffic data that no human team can analyze at the speed and scale today’s threats demand. Meanwhile, adversaries are exploiting that very complexity, probing for misconfigured segments, lateral movement opportunities and zero-day vulnerabilities faster than traditional network monitoring tools can flag them. The organizations that will define the next era of network security are not those simply bolting AI onto aging network infrastructure, but those fundamentally rethinking how their networks are monitored, defended, and made resilient with intelligence and automation at the core. This is not just a technology upgrade; it is a strategic rethinking of how networks are protected in a world where the perimeter no longer exists. The growing complexity of modern networks Today’s enterprise network looks nothing like it did a decade ago. The modern network is no longer a contained, manageable perimeter, it is a dynamic, borderless ecosystem, and securing it demands an entirely new way of thinking. Why traditional security approaches are reaching their limits Traditional network security has long relied on rule-based systems and manual monitoring. But as networks grow larger and more interconnected, this model is beginning to show its limits. Security teams today deal with an overwhelming volume of alerts and log data generated by multiple tools across the network. It’s not uncommon for analysts to face thousands of alerts in a single day. The result is alert fatigue where teams spend significant time sorting through notifications, trying to determine which ones actually signal a real threat. At the same time, cyberattacks are moving faster than ever. Threat actors can gain access, escalate privileges, and move laterally within minutes. Security processes that depend heavily on manual investigation often struggle to respond at the same speed. There’s also the challenge of detecting unknown or sophisticated threats. Many traditional tools rely on predefined rules or known signatures, which means they are effective against familiar attack patterns but less capable of identifying new or evolving techniques. As a result, organizations are increasingly finding that conventional security approaches alone are no longer enough. The scale and speed of modern threats require more adaptive capabilities, an area where AI is starting to play a critical role. The threat landscape has fundamentally changed, and so must we. AI is no longer a future investment, it is the operating infrastructure of secure, resilient organizations today. Our commitment is to build security into the architecture of everything we do, not as an afterthought, but as a foundation How AI is reshaping network security Artificial intelligence is reshaping how organizations defend their networks by enabling security systems to analyze massive volumes of data, recognize patterns, and respond to threats far more quickly than traditional approaches allow. Instead of relying purely on static rules, AI introduces a more adaptive and intelligent layer to security operations. Key capabilities include: By combining these capabilities, AI is helping organizations move toward a more proactive and responsive security approach, one that is better equipped to keep up with the scale and sophistication of modern cyber threats. Security is no longer just an IT conversation, it is a brand trust conversation. When we talk to customers and partners, they want to know their data and operations are protected by intelligent, adaptive systems. AI-powered security is not just a technical differentiator; it is a message that resonates at every level of the business From reactive to predictive security For a long time, cybersecurity has largely been reactive. Security teams would detect an alert, investigate the incident, and then respond after a threat had already entered the network. While this approach worked in slower and more predictable threat environments, today’s attack landscape demands a more forward-looking strategy. Artificial intelligence is helping organizations shift from simply reacting to threats to anticipating and preventing them. By continuously analyzing large volumes of network activity and security data, AI systems can uncover patterns that may signal potential risks long before they escalate into full-scale incidents. The strategic value of AI in security operations Beyond improving threat detection, AI is also creating meaningful operational advantages for organizations. As security environments grow more complex, AI helps teams manage workloads more effectively and focus their attention where it matters most. Challenges and considerations in AI adoption While the benefits of AI in network security are significant, adopting these technologies also requires careful consideration. A balanced strategy recognizes both the opportunities and the practical challenges involved. The path forward AI is not a silver bullet but it is fast becoming a non-negotiable foundation for any serious network security strategy. The complexity of modern networks, the speed of evolving threats, and the limitations of traditional approaches have collectively created a reality that human teams and rule-based systems alone cannot address. AI bridges that gap not by replacing the expertise of security professionals, but by amplifying it. The organizations that will lead in network security over the next decade are those that treat AI not as a bolt-on capability, but as a core architectural principle, embedded into how threats are detected, analyzed, and contained. The shift is already underway. The only question that remains is how decisively your organization chooses to move. Read More

Sumiit Katyal, CEO, Asim Navigation India Pvt Ltd. Transforming Security Planning with360° Mapping, AI & Real-Time Intelligence In an era where urban complexity, population density, and security threats are rapidly increasing, traditional methods of surveillance and planning are no longer sufficient. Law enforcement agencies today require proactive, data-driven, and immersive tools that enable them to anticipate risks, plan effectively, and respond with precision. One such transformative technology is the Digital Twin, powered by advanced 360° imaging, AI analytics, and geospatial intelligence. What is a Digital Twin in Security? A Digital Twin is a highly accurate, real-world digital replica of physical environments, enabling authorities to visualize, analyze, and simulate real-world scenarios in a virtual space. Using systems like the Mosaic Meridian 360 Camera, entire urban environments – roads, public spaces, religious sites, and high-density zones – can be captured in high-resolution 360° imagery and converted into an interactive digital platform. When combined with AI-driven analytics platforms like FocusVu.ai, this transforms static mapping into a live, intelligent security ecosystem. Relevance for public safety & crowd management India frequently witnesses large-scale gatherings including – religious processions, political rallies, public demonstrations, cultural events and etc. These events present significant challenges for police and security agencies such as crowd control, route planning, emergency response readiness, identification of vulnerable zones and so on. A Digital Twin platform provides a powerful pre-planning and execution tool, enabling authorities to move from reactive management to proactive preparedness. Pre-planning of events & processions One of the most critical applications of Digital Twin technology is in pre-event planning. Using 360° mapped environments – authorities can virtually walk through the entire route of a procession or rally; identify bottlenecks, choke points, and sensitive areas; plan entry/ exit routes, diversion strategies, and emergency access points; and pre-define barricading zones and access control points. With virtual barricading and access control features enabled through FocusVu.ai, planning committees can digitally mark restricted zones, simulate crowd movement, and allocate personnel effectively This allows even field personnel and patrolling units to clearly understand deployment plans before stepping on ground. Real-time monitoring & AI-based alerts During live events, integration of Digital Twin with real-time video feeds provides – live situational awareness from multiple camera sources; AI-based pre-alerts for unusual activity, overcrowding, or breaches; and faster decision-making at command centers. The system shifts operations from – manual surveillance to Intelligent, automated monitoring. This is particularly crucial in high-risk scenarios, where even minor delays can escalate into serious incidents. High accuracy mapping & asset visualization Modern Digital Twin systems go beyond visual representation and deliver engineering-grade accuracy. Using high-resolution 360° imaging (Mosaic systems), LiDAR-based scanning technologies, and advanced geospatial processing – authorities can achieve less than 5cm positional accuracy, creation of detailed 3D models of environments, and real-time mapping of assets such as barricades, CCTV cameras, entry/ exit gates, emergency facilities etc. This enables precise planning and execution, especially in dense urban environments. Support for field units & patrol teams One of the biggest challenges in large-scale deployments is communication and clarity for field personnel. Digital Twin platforms address this by providing visual references instead of textual instructions, enabling teams to view exact deployment locations, and Helping patrol units understand – routes, restricted zones, and emergency response plans. This significantly reduces confusion, miscommunication, and response time. Pre & post-event inspections Digital Twin technology also plays a critical role in – pre-event inspection such as verification of planned arrangements, identification of last-minute risks, and validation of security layouts – and post-event analysis by incident reconstruction, performance review of deployment, and identification of gaps for future improvement. This creates a continuous improvement cycle for security operations. Towards smart & predictive policing The integration of 360° Digital Twin (Mosaic systems), AI Video Analytics (FocusVu.ai), and LiDAR & high-accuracy geospatial mapping is enabling a shift towards Smart Policing, where – decisions are data-driven, risks are identified in advance, and resources are optimized efficiently. Conclusion As cities grow and public events become larger and more complex, security agencies must adopt advanced technologies to stay ahead of emerging challenges. Digital Twin technology offers a holistic solution – combining visual intelligence, real-time monitoring, and predictive analytics – to enhance public safety, operational efficiency, and strategic planning. By leveraging platforms like the Mosaic Meridian 360 Camera and FocusVu.ai, law enforcement agencies can transform the way they plan, monitor, and secure large-scale events, ensuring safer environments for citizens and more effective operations for security forces. Read More

Rajeev Sharad, Founder & CEO,Urbaforce Solutions Pvt Ltd (Consultant) A comprehensive review of the 100 Smart Cities Mission (2014-2025) Introduction The Smart Cities Mission, launched in 2014, stands as one of India’s most ambitious urban transformation programmes of present times. Spearheaded by the Ministry of Housing and Urban Affairs – MoHUA (then Ministry of Urban Development – MoUD) in partnership with State Governments, the mission aimed to develop 100 cities across the country into models of matured and self-sustainable bodies with technologically advanced urban living for ease of citizens. With its conclusion in 2025, the mission has become a significant touchstone for policy makers, urban planners, and citizens alike, offering insights into the challenges and opportunities of modern city development in India especially in brownfield areas. Genesis of the mission India’s urbanisation is projected to accelerate significantly over the coming decades. According to various demographic estimates, the urban population is expected to reach nearly 40% by 2030 and 50% of the country’s total population by 2050, compared to around 34% in 2024. This rapid growth underscored the urgent need for robust urban infrastructure planning, as millions migrate to urban centres or turning smaller cities into urban and commercial hubs, seeking better work opportunities and quality of life. The genesis of the Smart Cities Mission is linked to this growing urbanisation in India and the pressing need for cities to become more liveable, resilient, and inclusive. Indian cities have been grappling with rapid population growth, infrastructural bottlenecks, and environmental degradation, not to forget the socio-political alignments with demographic uniqueness. Recognising these challenges, the Government of India initiated the mission as part of a broader vision for planned urban development. The formal launch of the mission in June 2014 marked a shift towards integrating digital solutions and citizen-centric planning, positioning cities as engines of economic growth and innovation. Objectives and vision The Smart Cities Mission was underpinned by a clear vision – to promote cities that, with the use of technology or otherwise, provide core infrastructure, clean and sustainable environments, and a decent quality of life for their citizens. Central objectives include improving urban mobility, expanding affordable housing, ensuring robust water and energy supply, and enhancing safety and governance. Implementation framework MoHUA leads the mission’s implementation management, working in close collaboration with State Governments and urban local bodies through 50% financial assistance on the basis of project approvals. The selection of the 100 smart cities was the result of a competitive process, with cities evaluated on their preparedness, vision, and capacity for transformation. Each selected city developed its own smart city proposal, outlining projects and strategies tailored to local needs and aspirations. This decentralised approach enabled flexibility and innovation, while the Ministry provided guidance, funding, and oversight to ensure consistency and accountability. Coordinated approach between Central and State governments has been instrumental in driving the mission forward. Financial support has been channelled through a combination of central grants, state contributions, and leveraging private sector investment. The formation of Special Purpose Vehicles (SPVs) for each city ensured dedicated focus on project execution, monitoring, and stakeholder engagement, strengthening the mission’s governance framework. Key initiatives and strategies The Smart Cities Mission encompassed a broad range of projects and interventions, targeting area-based development of urban infrastructure, use of digital technology, and augmentation portals for citizen services. Major initiatives include the development of Integrated Command and Control Centres (ICCC) which are the aggregation nerve centres of technology based smart mobility solutions, utilities supply monitoring, real-time traffic management waste management, telecommunication services, energy-efficient street lighting, citizen service kiosks and digital governance platforms. Urban planning strategies under the mission emphasised mixed land use, compact city development, and revitalisation of public spaces. The adoption of area-based development allowed cities to focus on specific neighbourhoods, demonstrating tangible improvements before scaling up. Technological interventions – such as sensors, IoT devices, and GIS mapping – have been crucial in enabling data-driven decision-making and responsive urban management. Efficacy and achievements In 2024, MoHUA engaged the services of an esteemed audit and assessment organisation to study maturity index of the Smart Cities through measurable outcomes of the use cases and several other pillars of evaluation. Cities have been showcasing innovative models of waste management, sustainable transport, traffic control, weather reporting & e-governance platforms. The mission has catalysed the adoption of renewable energy, increased green cover, and promoted inclusive urban development. While progress varies across cities, the mission has driven a culture of innovation and accountability, setting new benchmarks for urban transformation in India. Though, many cities have witnessed a deluge of urban mobility, pollution control, and public safety measures through smart infrastructure projects, the efficacy has not been as planned. The establishment of integrated command centres has enabled real-time monitoring of utilities and emergencies, which expected to improve governance and citizen satisfaction, but the assessments say otherwise. Challenges and lessons Despite its achievements, the Smart Cities Mission has encountered several shortcomings and hurdles. Delays in procurement process, stakeholder bottlenecks, and program management at local levels have impacted progress and efficacy in certain cities. Coordination among multiple stakeholders, government agencies, private partners, and local communities has often posed challenges, requiring robust mechanisms for engagement and conflict resolution. Impact analysis The Smart Cities Mission has had far-reaching socio-economic and environmental impacts. It has stimulated job creation, attracted investment, and improved the quality of urban life for millions. Technological advancements have empowered city administrations, enabling more efficient service delivery and enhanced citizen participation. Environmental benefits include reduced energy consumption, better waste management, and increased resilience to climate change. From a development perspective, the mission has fostered urban innovation, strengthened institutional capacities, and promoted a culture of evidence-based policy making. By setting new standards for urban governance and infrastructure, the mission has inspired other cities and regions to pursue similar transformations, contributing to India’s broader urbanisation agenda. Some of the key concerns that have led to the under-utilised potential of the Smart Cities is the lack of following plans: Redefined roadmap for Smart Cities The Smart Cities Mission…

Kunwar Vikram SinghChairman, Central Association of Private Security Industry ( CAPSI) Women security guards in India represent strength, discipline, and dedication. They stand at the front lines of safety in residential complexes, offices, hospitals, malls, schools, and public institutions, quietly ensuring that communities remain secure and orderly. Their presence not only enhances physical security but also creates a sense of comfort and trust, especially for women, children, and the elderly. In recent years, the role of women in the private security sector has grown significantly. These women perform demanding duties such as access control, surveillance monitoring, crowd management, and emergency response. Often working long and irregular hours, they demonstrate professionalism, alertness, and courage. Their work requires not only physical stamina but also patience, emotional intelligence, and the ability to handle challenging situations with calmness and dignity. Beyond their professional responsibilities, women security guards continue to carry out their roles within the family. Many of them return home after a full shift to take care of household responsibilities. They nurture their children, guide them in education and values, and ensure that their families remain united and stable. Their role as mothers is particularly significant, as they often strive to give their children better opportunities through their own hard work and sacrifice. At the same time, they care for elderly parents and in-laws with respect and compassion. In many Indian households, women security guards contribute not only financially but also emotionally, maintaining harmony and stability within the family. They often support their husbands and share the responsibility of running the household, showing that partnership and mutual respect are the foundations of a strong family. What truly distinguishes these women is their moral strength and exemplary character. Despite the pressures of balancing demanding professional duties and family obligations, they uphold integrity, discipline, and cultural values. Their dedication to duty, honesty in work, and commitment to family responsibilities make them role models in their communities. Women security guards are therefore not just employees in the security industry; they are protectors of society and builders of strong families. They embody resilience, responsibility, and moral courage. Recognizing and supporting their contribution is essential for building safer communities and a more inclusive security sector in India. Their story is one of quiet heroism – serving the nation by protecting its people while nurturing the values and relationships that hold society together. Wishing every woman Security Guard & Officer a very happy International Women’s Day. Read More

Biplob BhattacharjeeZonal Business Manager-East, North East and SAARC CountriesVicon Security The evolution of Video Management Systems From NVRs to Intelligent Platforms Over the past decade, Internet Protocol (IP) video technology has become the preferred choice for security managers, system integrators, consultants, and architects. In the early stages of this transition, embedded Network Video Recorders (NVRs) gained widespread adoption due to their simplicity and cost-effectiveness. However, as surveillance requirements evolved with the adoption of high-resolution cameras, multi-sensor systems, and advanced analytics – traditional NVRs began to show their limitations. Their architecture was not designed to handle the increasing complexity, scalability, and intelligence required in modern deployments. The Rise of Video Management Systems (VMS) The limitations of NVRs paved the way for Video Management Systems (VMS), which today form the backbone of IP surveillance. A modern VMS ensures consistent video throughput across all channels, scalable architecture for growing deployments, centralised control and monitoring, and seamless integration with analytics and third-party systems. More importantly, a robust VMS transforms surveillance from simple video recording into a comprehensive security management solution. Key considerations when selecting a VMS Selecting the right VMS is critical for long-term system performance and scalability. Key factors include: These parameters define whether a system can scale and adapt to future requirements. The power of Valerus Valerus is an advanced, open-platform video management system designed to address the demands of modern security environments. More than a traditional VMS, Valerus functions as a centralised security management platform, integrating video surveillance, access control, Automatic Number Plate Recognition (ANPR), Vape detection and other specialised systems. All functionalities are unified through a single-pane-of-glass interface, allowing operators to manage complex environments without switching between applications. The platform also supports efficient multi-site management, enabling centralised monitoring and control of geographically distributed locations – an essential requirement for enterprises and infrastructure projects. Flexible and intelligent alarm management One of Valerus’ key strengths lies in its configurable alarm management system. Operators can define real-time alerts, configure automated workflows, and standardise incident response procedures. From simple notifications to automated actions such as partial or full lockdowns, Valerus ensures faster and more structured responses to critical events. Built-in system health monitoring System reliability is critical in any surveillance deployment. Valerus includes an integrated health monitoring dashboard that provides proactive alerts on system performance. This enables administrators to identify potential issues early, prevent system failures, reduce downtime, and maintain continuous operational efficiency. AI-powered investigation and search As surveillance systems generate increasing volumes of data, the ability to quickly extract relevant information becomes essential. Valerus leverages AI-driven analytics to significantly reduce investigation time by filtering out irrelevant footage. Key search capabilities These tools transform investigations from a time-intensive process into a targeted, data-driven workflow. Conclusion: The future of security management The role of video surveillance is evolving from passive monitoring to proactive security management. This shift requires platforms that can integrate multiple technologies, process data intelligently, and provide actionable insights in real time. Valerus is positioned to meet this need – serving as a central security management hub for multi-sensor, multi-application environments. With advanced search capabilities, seamless integration, intelligent alarm handling, and centralised multi-site control, Valerus enables organisations to build a data-driven and future-ready security ecosystem. As AI adoption continues to accelerate, platforms like Valerus will play a critical role in transforming Security Operations Centres into intelligent command centres – capable of responding faster, operating smarter, and scaling efficiently. Read More