Search results for: 'machine and energy 2025'

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 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...

The revolution of smart cities and smart services has created a new set of data that are collected on a daily basis to facilitate individuals’ lives. Governments have started to propose administrative services for citizens to facilitate their interactions and to reduce management costs. However, having such services have generated new opportunities...

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...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights emerging cybersecurity innovations, focusing on AML, fraud prevention, runtime application security, and zero trust architecture. These solutions reduce manual threat management, enhance identity protection, and utilize machine learning for real-time detection and res...

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...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth prospects in advanced cybersecurity and cloud-native protection ecosystems. It emphasizes innovative platforms and techniques for in-depth code and malware scrutiny, self-governing safeguards in distributed cloud setups, robust user and machine identity ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights breakthrough innovations across AI-driven threat detection, extended detection and response (XDR), behavioral analytics, deception technologies, and human-centric security platforms. Notable developments include GenAI agents for autonomous threat sweeping, post-quantu...

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,...