By Saurabh Rai

Reflecting on 2024, the geospatial sector has witnessed transformative advancements, driven by innovations that integrate GIS, AI, and IoT into critical domains. The development of the Ayodhya Sustainability Index as a milestone in leveraging geospatial intelligence for sustainable urban planning, environmental conservation, and heritage preservation. This initiative has set a global benchmark, showcasing how technology can balance growth with cultural preservation. 

The year also saw India embracing national initiatives like Naksha, Bhuvan, and SVAMITVA, which propelled sustainable development, urban planning, and disaster management using geospatial solutions. These programs reflect the sector’s growing influence in addressing complex challenges.

Looking ahead to 2025, the integration of geospatial technologies with AI, IoT, and big data is poised to transform industries such as agriculture, logistics, and renewable energy. 

The focus will be on leveraging these technologies to tackle global issues like climate change, rapid urbanization, and resource management. With data-driven tools at the core, the industry aims to drive impactful and sustainable change, fostering innovation and supporting national priorities. 

With precise data-driven insights, industries can make informed decisions, optimise resource allocation and implement sustainable practices.

In agriculture, for instance, geospatial tools combined with AI can enhance crop monitoring, predict yield and manage water resources effectively. In logistics, they streamline operations by providing real-time data on traffic, weather and optimal routes. Renewable energy sectors can benefit by identifying ideal locations for solar and wind energy projects, thus accelerating India’s transition to cleaner energy sources.

The integration of geospatial technologies aligns with India’s national priorities, such as building resilient infrastructure and achieving sustainable development goals. 

As geospatial intelligence continues to evolve, it promises to play a critical role in shaping a more sustainable, resilient, and technologically empowered future.

Saurabh Rai is the CEO of Arahas, a provider of Geospatial, AI, and Sustainability Technology services. The opinions expressed by the author do not necessarily reflect the views of CIO Dimension.

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As we step into 2025, Securonix offers key predictions on the evolving cybersecurity landscape. Reflecting on 2024, we saw a surge in cloud intrusions, malware-free attacks, and escalating breach costs, underscoring the urgent need for advanced defenses. With innovations like AI-powered insider threat detection and behavioral analytics leading the charge, the future holds transformative potential.

In 2025, Securonix foresees AI revolutionizing SOCs, quantum-safe algorithms addressing encryption risks, and greater collaboration through shared threat intelligence. MSSPs and advanced data management solutions like Cyber Data Fabric will play pivotal roles in shaping efficient, proactive cybersecurity strategies for the challenges ahead.

Here’s a glimpse into 2024 and crystal ball view into 2025 from Securonix. 

2024: Year in Review

●      Rise in Threat Activity: Threat activity surged with cloud intrusions rising by 75% as organizations increasingly adopted cloud solutions

●      Shift in Attack Strategies: Malware-free attacks grew, leveraging legitimate tools within environments instead of external malware

●      Escalating Costs: The mean cost of a data breach had reached $4.88 million, thereby pointing to the severe need for advanced cybersecurity measures

●      AI Integration: Securonix unveiled Eon, which integrated such innovation as insider threat detection through psycholinguistics, a clear example of how the industry was now turning to AI

●      Insider Threats: Studies indicated that 60% of breaches occur through insider threats, making advanced behavioral analytics crucial

2025: Prepping for the Future

●      AI in Cybersecurity: AI will make the SOCs more efficient, reducing the workload of analysts and making responses more efficient

●      Quantum Computing and Encryption: The risks associated with emerging Quantum technologies have threatened encryption protocols, leading to the need for quantum-safe algorithms

●      Insider Threats on Rise: The push for return-to-office poses insider risks with employees and hence the need for behavioral analytics is key

●      Collaboration Among Organizations: Shared threat intelligence will increase, allowing organizations to identify and fight threats together

●      Data Pipeline Management: Solutions for effective data routing, such as Securonix’s Cyber Data Fabric, will be critical in managing SIEM costs and optimizing analytics

●      Expansion of MSSPs: MSSPs will become more prominent, supporting hybrid SOC models and handling advanced threat responses

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