Search results for: 'learning devices'

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...

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) 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...

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 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...

The explosion of connected devices and Internet of Things (IoT) has resulted in the generation of a huge amount of data. Digital transactions are also increasing, and the need to authenticate two entities before exchanging data is a necessity. As a result, Public Key Infrastructure (PKI) appears as a relevant solution to create confidence and trust...

Mobile identity uses mobile devices, like a mobile phone’s SIM card incorporated with WPKI(wireless PKI) as a form of secured digital identification in accessing rooms, buildings and networks operating within the framework of NFC technology, say. Usual e-IDs like an e-passport have issues of data breaches but this can be circumvented via mobile ID,...