Search results for: 'endpoint detection ai detection'

From an extremely competitive and fast-growing field of more than 70 extended detection and response (XDR) participants globally with revenue greater than $1.0 million, Frost & Sullivan independently plotted 17 of the top companies in this Frost Radar™ analysis. In 2023, XDR is showing impressive revenue growth in the cybersecurity industry after...

Over the past decade, security incidents have increased in frequency and sophistication. A growing number of cyberattacks are sponsored by nation-states, while the attack surface continues to expand in a time of rapid digitalization. Organizations find it increasingly difficult to keep up to date with new developments in cybersecurity and to secure...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

Security operations are evolving rapidly as organizations face increasingly complex and dynamic threats across physical, identity, and cyber domains. Traditional approaches often struggle to keep pace with the scale and sophistication of modern attacks, leading to alert fatigue, delayed responses, and operational inefficiencies that compromise resi...

This study examines the global NDR market over the 2022–2030 forecast period. It finds that rising investment reflects NDR's evolution from a discretionary security enhancement into a foundational component of enterprise cyber defense, underscoring stronger buyer commitment and heightened vendor competition. Growth is driven by an expanding attack ...

The Sensor Technology Opportunity Engine provides profiles of innovations related to Autonomous Radiographic Drone Inspection for Sub-Surface Defect Detection, Drone-Based Inspection For Enhanced Solar Farm Efficiency, High-Endurance Autonomous Drone for Next-Generation Aerial Intelligence, AI Inspection Software For Enhanced Drone Based PV Monitor...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

Food contaminants pose a major challenge to the entire F&B industry value chain, impacting food producers, manufacturers, retailers, and consumers. Following the COVID-19 pandemic, food safety has become a priority, with constantly evolving requirements for traceability, rapid detection, and source identification. Current tracking methods do not ...

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...