Search results for: 'on autonomous'

Multi-agent systems (MAS) for workflow automation are transforming enterprise operations by enabling multiple autonomous AI agents to collaborate, coordinate, and execute complex business processes across organizational functions. This report examines the global multi-agent workflow automation market between 2026 and 2030, focusing on advancements ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth prospects in unified authorization intelligence, AI & cloud protection, credit risk intelligence, fraud detection, identity security, offensive security platforms, AI agents for security governance, risk & compliance, email security platforms, and autono...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth opportunities in autonomous multi-agent security operations, agentic AI-driven threat investigation, AI-native data governance, infrastructure identity security, and Zero Trust network protection. It highlights innovations in AI-powered SOC platforms, de...

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...

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) highlights breakthrough innovations across AI-driven threat detection, extended detection and response (XDR), behavioural analytics, deception technologies, and human-centric security platforms. Notable developments include GenAI agents for autonomous threat sweeping, post-quant...

This report emerges as the evolution of an integrated cloud manipulation management system as complementary technology for employer cloud manipulation management systems to enable businesses to manage increasingly distributed workloads in public, private, hybrid, edge, and sovereign clouds in one management system as businesses adopt strategic usag...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to CloudOps, Apache Spark, DevSecOps, AI, Cloud Data Services, Carbon accounting, NVMe, Neural Network, Deep Learning & SAASITCC TOE’s mission is to investigate emerging wireless communication and computing technology areas incl...