Search results for: 'Next-Generation Sensing Trends & Technologies for Security Applications'

Zero trust architecture (ZTA) is rapidly gaining traction as organizations face growing cybersecurity threats, the rise of remote work, and the shift to cloud-first strategies. Unlike traditional security models, ZTA operates on the principle of "never trust, always verify," requiring continuous verification of every user and device before granting...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Cloud-based secure access and network security, DevSecOps, Ransomware defense, Agentic AI Security , AI-driven application security , Cloud-native API and application security, Identity management, Zero trust security , Managed cloud security, Ac...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

As digitization progresses across industries, AI is gaining a ubiquitous adoption as more and more business processes are being automated. With this, the expectations from AI in terms of what applications can be realized using AI is also expanding, and thus a more complex set of neural networks have been introduced which are expected to leverage ad...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

This edition of the Cyber Security Technology Opportunity Engine (TOE) focuses on the critical shift towards Zero Trust frameworks that eliminate human oversight through automation, address the lateral movement of threats in distributed environments, and unify fragmented security stacks through intelligent orchestration. Notable developments includ...

Digital transformation in the financial sector is accelerating, driven by technological advancements, evolving customer expectations, regulatory changes, and the need for greater efficiency and security.Artificial intelligence (AI) and machine learning (ML) are reshaping the sector by enabling predictive analytics, automation, and personalized expe...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in Behavioural Analytics-based Cloud Protection, Email Authentication, Cloud-native Security Observability, Cloud-based Identity Security, Edge Security, Cloud Threat Protection, and Digital Healthcare Security.Cyber Security TOE’s mi...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to AI-Native Identity Security, Supply-Chain Security, AI-Native Application Security, Data Security, Social Engineering Defense, Autonomous Penetration Testing, AI-Powered Security Workflows, External Threat Landscape Management, Browser Detection ...