Search results for: 'simulation and analysi software'

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) 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 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) 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...

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 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...