Search results for: 'endpoint detection ai detection'

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

Incorporating AI into mobile operator business operations offers clear advantages—automation, customer-centric services, and operational efficiency. However, these benefits come with challenges, including high implementation costs and data security risks. Strong support from C-level executives and boards can help operators overcome these obstacles....

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to object detection, electric vehicles, smart batteries and Radar. Some of the innovations profiled include Object Detection System Redefining Safety and Scalability in Driverless Vehicle Testing, Autonomous Electric Vehicle System Transforms Urban Passenger Transit, Int...

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...

08 Jul 2025  |  Global  |  Frost Radar

Frost Radar™: Counter-UAS Solutions, 2025

A Benchmarking System to Spark Companies to Action - Innovation that Fuels New Deal Flow and Growth Pipelines

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The counter-unmanned aerial systems (C-UAS) industry includes vendors that manufacture, maintain, and operate specific detection, identification, and mitigation systems designed to counter unauthorized drone activity across the defense, homeland security, and critical infrastructure domains. A vendor does not have to own the entire downstream suppl...

Enterprises more than ever before are concerned about losing customers due to suboptimal experiences and want security measures to include seamless customer interaction. The reluctance to introduce friction for legitimate customers has resulted in demand for automated and invisible fraud detection and prevention features that authenticate users thr...

The Advanced Malware Detection (AMD) market in ANZ grew 18.4% YoY in 2018. Cloud deployments saw greater acceptance among customers not only because of their cost effectiveness but also because end users are becoming more aware of the capabilities and advantages that cloud-based AMD have over traditional on-premise deployments. As-a-service-typ...

This report examines the growing importance of AI governance platforms in enabling responsible and scalable artificial intelligence adoption, with a focused analysis of their applications and opportunities across interoperability, data privacy, and digital ethics. As organizations increasingly deploy complex AI systems, the need for structured gove...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in Incident Response and Detection, AI-based Cybersecurity, Zero Trust Security, Observability Platform, Vulnerability Management, Documentation Security Assessments, Quantum-safe Cryptography, Predictive Vulnerability Assessment. Cy...