Category: Feature

In the 2002 cinematic masterpiece Minority Report, the most striking concept wasn’t just the prediction of events; it was the sophisticated system behind it – a world where vast amounts of visual signals were continuously interpreted, correlated, and acted upon without waiting for human instruction. Today, that concept no longer feels entirely fictional. Modern video surveillance systems are undergoing a similar, fundamental transition. No longer confined to the passive roles of recording and playback, they are increasingly expected to interpret complex environments, filter relevance from noise, and support timely decisions. As the scale and complexity of video data grow exponentially, this shift has transformed Artificial Intelligence (AI) from a ‘supplementary feature’ into a foundational requirement. From seeing to understanding: Why AI is no longer optional Traditional surveillance models, built to capture footage and rely solely on human eyes for interpretation, simply do not scale in today’s landscape. Several factors have made the ‘capture-only’ model obsolete: AI enables surveillance systems to move beyond visual capture toward structured understanding. By utilizing object detection, attribute recognition, and behavior analysis, AI transforms raw video into actionable insight. Without AI, surveillance remains reactive – a digital witness after the fact. With AI, it becomes proactive, capable of real-time prioritization and decision support. Edge AI and the importance of hybrid architectural design As AI integration accelerates, the strategic focus is shifting from what AI can do to where it operates. While early systems leaned heavily on the cloud, the rising costs of high-definition data transmission and complex data sovereignty regulations have highlighted the need for a more balanced approach. In this context, Hybrid Architecture is emerging as the industry’s optimal solution. By combining the strengths of both edge and cloud, this model is set to become the standard security infrastructure for the AI era by 2026. This architecture allows for a more efficient distributed computing structure. On-premise edge devices (cameras/ NVRs) handle the first layer of real-time detection, minimizing bandwidth strain by only transmitting essential data. The cloud then performs a second layer of deep analysis and large-scale learning, significantly sharpening the accuracy of AI functions. Ultimately, Hybrid Architecture provides users with the flexibility to deploy functions where they are most effective – whether for immediate onsite response or long-term analytical scalability. This synergy not only enhances performance but also maximizes TCO efficiency through high-performance, AI-native edge processing. Wisenet 9: An AI-native SoC for edge surveillance Hanwha Vision’s Wisenet 9 exemplifies this AI-native approach. Designed specifically for the rigorous workloads of video surveillance, Wisenet 9 embeds AI processing directly into the chip architecture rather than treating it as an external software layer. At the heart of the SoC, critical tasks are handled by a Dual NPU (Neural Processing Unit) structure, which creates optimized and separated processing pipelines for AI-driven image enhancement and deep-learning video analytics. This specialized hardware allows for concurrent execution – the camera can perform complex object classification while simultaneously maintaining high-fidelity image processing, all without degrading system reliability. By managing AI inference, image processing, and video encoding natively through its Dual NPU, Wisenet 9 ensures consistent intelligence even in demanding conditions such as ultra-low-light environments or high-traffic scenes where both visual clarity and analytic accuracy are paramount. Beyond accuracy: Trust as a technical requirement As AI becomes deeply embedded in security workflows, the industry’s expectations are evolving. It is no longer enough for an AI to be ‘accurate’ in a lab setting. To be operationally effective, surveillance AI must be: Excessive false alarms or ‘black box’ decision logic can quickly undermine operational trust. Consequently, the focus is shifting from how well AI detects to how reliably and responsibly it operates. This requires more than just software; it necessitates a combination of robust hardware architecture, high-quality training data, and strict governance frameworks. AI governance and the role of ISO/ IEC 42001 While hardware like Wisenet 9 provides the technical reliability, governance ensures the ethical and operational accountability of AI. This is where ISO/ IEC 42001, the first international standard for AI Management Systems (AIMS), becomes essential. Unlike standards that focus on specific algorithms, ISO/ IEC 42001 defines how AI should be governed throughout its entire lifecycle – from initial development to ongoing monitoring. Hanwha Vision’s recent achievement of the ISO/ IEC 42001 certification reflects a structured commitment to ‘Responsible AI.’ It ensures that advanced AI capabilities are underpinned by formal governance to maintain long-term trust, transparency, and compliance. Industry direction: Toward responsible intelligence The future of the industry is being shaped by the convergence of AI-native architectures, high-quality data, and sustainable governance. Looking ahead, we expect to see: Conclusion | Intelligence by design, trust by governance AI has successfully transformed video surveillance from passive observation into active interpretation. Yet, true progress is measured not just by capability, but by responsibility. Through AI-native SoC designs like Wisenet 9 and the adoption of global governance frameworks like ISO/ IEC 42001, we are redefining what ‘intelligent surveillance’ means. It is no longer just about a camera that ‘sees;’ it is about a system that understands context, supports human decision-making, and operates with unwavering accountability. As we move forward, intelligence by design and trust by governance will be the twin pillars defining the next era of security. Read More

Gaurav PandeyYoung ProfessionalSecurity & Strategic Affairs Division, NITI Aayog Absolute security is a myth! The organisations see their security departments as cost centres and an insurance policy. Therefore, multiple organisations are cutting their security budget and implementing more automation at their sites. India is currently witnessing a huge transformation, through the introduction of AI, cloud computing, IoT and cybersecurity. These integrates well with Security. India has more than 8.9 million security guards, working under challenging conditions. And it is predicted that the services will increase at a rate of 20% over the next few years. With a booming future, the only law that exists for the industry is the Private Security Agencies (Regulation) Act, 2005 (PSARA). According to MHA, there are 26361 active PSARA licences that exist currently, showcasing the number of active private security agencies. Though, there are large number of agencies and guards associated with them, the industry still is falling behind. The main issue isn’t automation but are as follows: Though the security industry has multiple issues, it is the recent technological advancements that are both enhancing the industry as well as killing it. Eventually, it is the guard whose physical presence is necessary to handle a threat at the location, rather than automation technology. On the other hand, the security automation has huge costs, and certain companies have monopoly over it. Further, automation comes with many multiple technical issues like: With time, the automation systems are getting better, and therefore organisations are focusing on decreasing the manpower, and increasing automation – but at what cost? Will this decision to enhance automation impact a large number of guarding manpower or will it be a capacity enhancer? Only time will tell. What we can do is only use automation, when necessary, with proper Standard Operating Procedures (SOP). The chief security officer and senior security manager should know and choose their automation systems wisely and should know when and what to use where. For faster growth of the sector, policy decisions must focus on: As the physical security of two sites can never be same, the physical security operations of different nations differ likewise. Few examples are: The private security industry can play a bigger role in the critical domains and can help in efficient utilisation of our forces, and can even be a backend arm for the local police & the para-military (CISF, CRPF etc). The modern physical security should not be limited to a wooden stick, but a modern security professional should be well equipped with sound knowledge of security, and the use of modern technology to enhance his capability. Technology can amplify human capability and help address the increasingly complex threat landscape – but only when used within a well-designed operational ecosystem. In a diverse and geographically complex country like India, the challenge is not just adopting automation, but adapting it to the local context. Conclusion The future of private security in India lies in integration, regulation, and professionalization. With the right mix of human expertise, advanced technology, and policy reform, the industry can become a powerful force multiplier – not just for businesses, but for national security as a whole. About the Author Gaurav Pandey completed his MBA in Homeland Security from National Forensic Sciences University, Gandhinagar. After MBA he got placed in Adani group as a Project Security Coordinator in Adani Green Energy Ltd. From past two years he is in NITI Aayog in the security and strategy affairs division. Read More

Kunwar Vikram SinghChairmanCentral Association of Private Security Industry ( CAPSI) In an age defined by technology and globalization, it is tempting to believe that geography has lost its power. Yet, recent tensions around the Strait of Hormuz remind us that the world still hinges on narrow passages – fragile corridors whose disruption can shake the global order. India has long understood this reality through the Siliguri Corridor, a slender stretch of land that connects the Northeast to the rest of the country. Popularly known as the ‘Chicken Neck,’ it symbolizes a single point of vulnerability where disruption could have disproportionate consequences. What India experiences domestically, the world now faces globally. The Strait of Hormuz is, in every sense, the world’s Chicken Neck Nearly a quarter of global oil flows through this narrow maritime passage. It fuels the economies of Asia, sustains industries in Europe, and stabilizes global markets. Yet, its security depends on a delicate balance of power involving regional actors like Iran and external stabilizers such as the United States Navy. This balance is increasingly under strain. For decades, strategic communities described Hormuz as a ‘chokepoint’ – a technical term that, while accurate, fails to capture the scale of risk. A chokepoint can be managed. A Chicken Neck, however, represents something far more dangerous – a single point of systemic failure. India has long understood this reality through the Siliguri Corridor, a slender stretch of land that connects the Northeast to the rest of the country. Popularly known as the ‘Chicken Neck,’ it symbolizes a single point of vulnerability where disruption could have disproportionate consequences. What India experiences domestically, the world now faces globally The distinction is not semantic; it is strategic A disruption in Hormuz today would not merely interrupt shipping lanes – it would trigger cascading consequences. Oil prices would spike within hours; supply chains would falter; and inflationary pressures would surge across continents. In an interconnected world, the shock would travel faster than any naval response could contain. What has changed is not the geography of Hormuz, but the nature of threats surrounding it. Traditional deterrence assumed rational state actors. Today, the risks are more diffuse and unpredictable – ranging from drone strikes and proxy militias to cyber disruptions targeting maritime navigation. These hybrid threats lower the threshold of conflict while amplifying its impact. A tanker need not be sunk; it need only be threatened to unsettle markets. This is why the global strategic vocabulary must evolve. Recognizing Hormuz as a ‘Global Chicken Neck,’ reframes it from a regional flashpoint to a shared existential vulnerability. It also demands a shift in response First, there is an urgent need for collective security frameworks that go beyond ad hoc naval deployments. Securing critical corridors like Hormuz must become a sustained multilateral effort, involving intelligence sharing, coordinated patrols, and rapid response capabilities. Second, major economies – including India – must invest in resilience. Diversifying energy sources, building strategic reserves, and developing alternative supply routes are no longer economic choices; they are strategic imperatives. Third, nations must prepare for a new form of conflict where disruption, not occupation, becomes the primary objective. The battlefields of the future may well be these narrow corridors where global dependence is highest and defenses are most complex. For India, the lesson is particularly stark. As a nation dependent on energy flows through Hormuz and trade routes across other narrow passages, while also managing its own vulnerability at the Siliguri Corridor, it sits at the intersection of multiple Chicken Necks. This convergence demands not just awareness, but leadership. The 21st century will not be defined solely by the control of land or sea, but by the security of the corridors that connect them. In this emerging order, safeguarding the world’s Chicken Necks is not merely a matter of national interest – it is a global responsibility. The message is clear – ignore these narrow passages, and the world risks being strategically choked. Recognize them, secure them, and we may yet ensure stability in an increasingly uncertain world. Read More

Sunjoy NathCSM Counter-Terrorism and Intelligence Anyalist The Siliguri Corridor (commonly called the ‘Chicken’s Neck’) is indeed one of India’s most critical strategic vulnerabilities. This narrow strip of land, roughly 20-40km wide at points, serves as the primary overland lifeline connecting mainland India to the eight Northeastern states (the ‘Seven Sisters’ plus Sikkim), as well as providing key access routes toward Nepal and Bhutan. National Highway – 12 (NH-12) forms a vital artery along this corridor, carrying civilian logistics, essential supplies, and military movement. Any sustained disruption here could isolate millions, hamper troop deployments, and create severe economic and security risks – especially given the region’s proximity to international borders with China, Bangladesh, Nepal, and Bhutan. Recent incidents on NH-12 Recent reports indicate that mobs in Malda district, West Bengal – described in various accounts as involving radical Islamists and suspected illegal Bangladeshi immigrants – blocked NH-12 for up to 18 hours in areas like Sujapur and Mothabari. Protesters allegedly used bamboo poles, burning tires, and stone-pelting, halting traffic including Indian Army convoys heading toward the Northeast and border areas. This was reportedly triggered by local grievances (such as incidents involving migrant workers elsewhere), but the location in a sensitive border district with a history of demographic shifts, smuggling, and cross-border issues amplified concerns. Central forces and state police eventually intervened, but the episode highlighted law-and-order gaps on a nationally vital route. Similar protests and blockades have occurred in nearby Murshidabad district (e.g., in Beldanga), often over local issues like migrant worker deaths, leading to temporary halts in road and rail traffic. These are not unprecedented in West Bengal, where highway disruptions have been used as protest tactics. Broader context and long-standing concerns This is not an isolated or entirely new threat. Analysts and officials have warned for years about the risks of demographic changes in North Bengal and the corridor region due to large-scale illegal immigration from Bangladesh. Radical Islamist voices (e.g., statements during past agitations like anti-CAA protests by figures such as Sharjeel Imam) have explicitly discussed ‘choking’ the corridor to isolate the Northeast. Radical Islamist networks linked to groups in Bangladesh have been flagged in intelligence reports for potential interest in disrupting this chokepoint. Assam Chief Minister Himanta Biswa Sarma and others have publicly highlighted how unchecked infiltration could lead to areas where loyalty in a crisis might not align with India, especially if Hindu populations drop below critical thresholds in key pockets. Malda and Murshidabad have long been noted for porous borders, smuggling (including fake currency), and demographic shifts that complicate security. Broader geopolitical angles include China’s interest in the area (via Doklam and infrastructure), post-2024 shifts in Bangladesh politics, and occasional rhetoric from across the border about the corridor’s vulnerability. India has responded with measures like: However, enforcement remains uneven, particularly in West Bengal, where state-central tensions often play out. Realistic assessment A full, coordinated ‘plan’ by radical Islamists and illegal immigrants to permanently sever NH-12 and cut off the Northeast would face massive practical hurdles – India’s security apparatus (Army, paramilitary, intelligence), alternative air/ rail options (though limited in scale), and the political fallout. Short-term disruptions, however – like the recent Malda blockade – are feasible and dangerous as proof-of-concept or pressure tactics, especially amid local politics or communal tensions. They erode deterrence and signal weakness. The core issue is structural – porous borders + demographic engineering + radical ideology + weak local governance = heightened risk in a hyper-sensitive geography. Sustained illegal immigration has altered voting patterns, land control, and social dynamics in parts of the corridor, making internal sabotage more plausible than pure external invasion. Sunjoy Nath, CSM Counter-Terrorism and Intelligence Anyalist, has over 28 years of experience in Physical Security, Open-Source Intelligence (OSINT), Social Media Intelligence, and fraud investigations. He is a military veteran and a member of the INTERPOL Metaverse Expert Group. He is also a member of APDI and ASIS, and serves as the State Councillor (West Bengal) for ICISSM. Mr. Nath is qualified in Counter Insurgency and Counter Terrorism from Rashtriya Raksha University.Additionally, he is an Sectional Committee member of BIS in the subject of Banking and Finance and Mentor of Niti Aayog. He is the Founder of EDCI, Kolkata. (www.edci.co.in). What should happen India cannot afford complacency here. The Northeast’s integration depends on reliable connectivity; its defense depends on preventing the Chicken’s Neck from becoming a noose. Public pressure, transparent reporting, and accountability for failures in law enforcement matter more than alarmism. If specific new intelligence or developments emerge beyond these reports, they should be scrutinized rigorously by authorities rather than amplified unchecked. Read More

As urban populations grow, cities are turning to smart transportation solutions to reduce congestion, improve safety, and enhance the overall commuting experience. PRAMA India, a premier indigenous video security brand, is making significant strides in enhancing smart cities and safe cities through its advanced technologies. The Smart Transportation includes key components: PRAMA’s Smart City Solutions PRAMA’s solutions deliver value through innovative technologies and services that enhance urban living, improve safety, and promote sustainability. Some key areas include: Benefits: PRAMA’s AI-Powered Solutions PRAMA integrates Artificial Intelligence (AI) into its video security systems, enabling features like: Smart City Market Growth The smart city market in India is growing rapidly, driven by government initiatives and increasing urbanisation. As the world population continues to grow, cities are becoming increasingly crowded and in need of more efficient infrastructure and service offerings. Internet of Things (IoT) technologies are improving efficiency, sustainability and livability. Environmental concerns have been gaining traction in recent years, and citizens are demanding sustainable solutions. Smart energy systems and waste management solutions are adopting IoT technologies and leveraging data from connected devices. Smart grids are especially important for increasing reliability and security during outages, security threats, and other unexpected events. IoT sensors are used in smart waste management to monitor garbage cans, optimise waste collection schedules, and reduce litter. The Smart Cities market is growing further, as governments are seeing the potential they can bring for both sustainable and economic growth. A Smart City project focuses on leveraging technology and data-driven solutions to enhance citizens’ quality of life, improve infrastructure, and promote sustainable development. A Safe City project, on the other hand, prioritises citizen safety and security through technology-enabled solutions. While Smart City projects focus on broader urban development, Safe City projects concentrate on ensuring citizen safety and security. Both initiatives often overlap, and many cities implement them together to create a holistic urban ecosystem. As urban populations grow, cities are turning to smart transportation solutions to reduce congestion, improve safety, and enhance the overall commuting experience. PRAMA India, a premier indigenous video security brand, is making significant strides in enhancing smart cities and safe cities through its advanced technologies The Smart Cities and Safe Cities market is segmented. It is divided into various focus areas, including: How PRAMA’s Smart City solutions deliver value PRAMA’s Smart City solutions deliver value through various innovative technologies and services. Their solutions focus on enhancing urban living, improving safety, and promoting sustainability. Some key areas where PRAMA’s solutions add value include: PRAMA’s AI-enabled Security Applications The incorporation of artificial intelligence (AI) into video security technologies is bringing significant transformation in its outcomes. The AI has made Video Content Analytics (VCA) more accurate and added empowering predictive capabilities. The security industry is entering into a new era of video security, with AI -based technology applications, helping video monitoring to entirely new use cases that provide more tangible benefits across the verticals. Bespoke Smart City and Safe City Solutions PRAMA’s Smart and Safe City Solutions include the City Surveillance Solution, Mobile Enforcement Solution & Transportation Solution, etc. Some notable PRAMA products and solutions related to Smart Transportation include: Overall, PRAMA’s Smart City solutions aim to create more livable, sustainable, and efficient urban environments. PRAMA’s Smart City solutions deliver value through innovative technologies and services that enhance urban living, improve safety, and promote sustainability. Overall, AI enhances the effectiveness, efficiency, and reliability of video security systems, enabling them to protect people and property better. PRAMA’s AIsense Cameras are designed to provide superior performance in video security management through several advanced features: Smart City and Traffic Management Customised Smart City and Safe City solutions PRAMA offers tailored solutions for diverse needs, including city surveillance, crowd control, school surveillance, traffic management, and healthcare security. These solutions address specific challenges in urban environments. Indigenous Manufacturing helps to reduce the import duty and tax burden on the Smart Cities plan. As part of the ‘Atmanirbhar Bharat’ initiative, PRAMA manufactures its products locally, ensuring high quality and reliability while supporting the Indian economy. Advanced Traffic Management Systems (ATMS) in Smart Cities help manage traffic more efficiently. PRAMA’s traffic management solutions optimise traffic flow, reduce congestion, and enhance road safety through automated monitoring and analytics. Integration with Smart City Infrastructure is key to security management and sustainability. PRAMA’s systems seamlessly integrate with other smart city technologies, creating a cohesive and efficient urban ecosystem. Smart Cities are not just about smart security and smart living; they also create new economic opportunities. They also help the job creation objectives. The implementation of smart and safe city technologies creates jobs in sectors such as IT, urban planning, and security. They are future-ready cities of a new-age India. Read More

Aditya KhemkaManaging Director, CP PLUS Every second, a surveillance camera is making silent decisions. It captures light, converts it into digital information, compresses that information into manageable streams, and sends it across networks to be stored, analysed, or viewed in real time. What appears to be a simple video feed is, in reality, a carefully balanced equation – one where bitrate, bandwidth, and storage work together to determine how effective, efficient, and reliable a surveillance system truly is. Security, at its core, is about clarity. And clarity in the world of video surveillance is governed not just by resolution or frame rate, but by the invisible mathematics behind the scenes. Bitrate determines how much visual information is captured per second. Bandwidth dictates how that information travels across networks. Storage defines how long that intelligence can be preserved. Together, these three elements form the technical backbone of every CCTV system, from a single home camera to a nationwide smart city deployment. Bitrate is often the most misunderstood component of surveillance technology. At its simplest, bitrate refers to the amount of data transmitted every second, usually measured in kilobits or megabits per second. A higher bitrate means more data is being used to represent the video, resulting in sharper details, smoother motion, and clearer playback. Lower bitrates, on the other hand, reduce data usage but can lead to pixelation, motion blur, or loss of critical detail, especially during fast-moving events. Every second, a surveillance camera is making silent decisions. It captures light, converts it into digital information, compresses that information into manageable streams, and sends it across networks to be stored, analysed, or viewed in real time. What appears to be a simple video feed is, in reality, a carefully balanced equation – one where bitrate, bandwidth, and storage work together to determine how effective, efficient, and reliable a surveillance system truly is Imagine two cameras watching the same scene. One operates at a high bitrate, capturing fine details like license plates, facial expressions, and subtle movements. The other uses a low bitrate to conserve storage. When an incident occurs, the difference becomes stark. One provides usable evidence. The other delivers a blurred approximation of reality. This is why bitrate is not merely a technical specification; it is a direct determinant of investigative value. However, bitrate does not exist in isolation. It is influenced by multiple factors, including resolution, frame rate, compression technology, and scene complexity. A camera monitoring a quiet corridor at night will naturally produce a lower bitrate than one watching a busy intersection during peak hours. More movement, more light variation, and more detail all require additional data to represent accurately. Resolution plays a significant role here. A 4K camera captures four times as many pixels as a Full HD camera. Naturally, it requires a higher bitrate to maintain the same level of clarity. Frame rate also contributes. A camera recording at 30 frames per second captures twice as many images as one recording at 15 frames per second, increasing the data load. Add advanced features like Wide Dynamic Range, low-light enhancement, or AI analytics overlays, and the data requirements grow further. Bitrate is often the most misunderstood component of surveillance technology. At its simplest, bitrate refers to the amount of data transmitted every second, usually measured in kilobits or megabits per second. A higher bitrate means more data is being used to represent the video, resulting in sharper details, smoother motion, and clearer playback. Lower bitrates, on the other hand, reduce data usage but can lead to pixelation, motion blur, or loss of critical detail, especially during fast-moving events This is where compression technologies enter the equation. Modern codecs such as H.265 and advanced proprietary algorithms like CP PLUS InstaStream and AI-InstaStream are designed to reduce the amount of data required without sacrificing visual quality. Instead of treating every pixel equally, intelligent compression focuses on what matters most – human figures, vehicles, and areas of interest – while reducing the data allocated to static backgrounds. The result is significantly lower bitrates, reduced storage requirements, and more efficient network utilisation. Bandwidth is the pathway through which this video data travels. It represents the capacity of a network to carry information from cameras to recorders, servers, or remote viewers. If bitrate is the volume of water, bandwidth is the width of the pipe carrying it. A high-bitrate camera connected to a low-bandwidth network can create congestion, resulting in lag, dropped frames, or interrupted streams. In large-scale deployments, bandwidth planning becomes critical. Consider a facility with 100 cameras, each transmitting at 4 Mbps. The total bandwidth requirement quickly reaches 400 Mbps. Without proper network infrastructure, such a system could become unstable or inefficient. This is why modern surveillance systems increasingly rely on edge processing. By performing analytics directly within the camera, only relevant data or alerts need to be transmitted, dramatically reducing bandwidth consumption. Bandwidth also plays a crucial role in remote access scenarios. Whether it is a parent checking on their child at school, a temple live-streaming events to devotees, or a control room monitoring multiple locations, the ability for multiple users to view the same feed simultaneously depends heavily on efficient bandwidth management. Intelligent streaming technologies ensure that the same camera feed can be delivered to several viewers without overwhelming the network. Storage is the final piece of the equation – the memory of the surveillance system. It determines how long video footage can be retained for review, investigation, or compliance purposes. Storage requirements are directly tied to bitrate and recording duration. A higher bitrate produces larger file sizes. A longer retention period requires more storage capacity. To understand this relationship, consider a simple example. A single camera recording at 4 Mbps generates roughly 43 gigabytes of data per day. Over a month, that amounts to more than a terabyte of storage. Multiply that by dozens or hundreds of cameras, and the storage demands become substantial. This is why efficient bitrate management and advanced compression technologies are essential…

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…