Search results for: 'edge measures in ac'

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in Zero-Trust, Edge Security, Cryptographic Authentication, Threat Detection, Data Security, Threat Intelligence Solutions. Artificial Intelligence is elevating these solutions to provide robust security.Cyber Security TOE’s mission i...

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...

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...

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning,...

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 ...

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...

This edition of the Cyber Security Technology Opportunity Engine (TOE) examines expanding prospects within cloud-based software protection solutions, highlighting systems for overseeing credibility and tools for monitoring and safeguarding machine learning environments. It covers strategies for spotting issues in virtual infrastructures, overall or...