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12 Dec 2023  |  Global  |  Technology Research

Ethical AI: Ensuring Accountability from Automation

Transparent data, bias mitigation, and privacy-enhancing technologies to ensure trustworthy data practices

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Artificial Intelligence (AI) helps reduce or even eliminate human interventions in a wide range of tasks such as speech recognition, decision-making, visual perception, and language translation. AI technologies are increasingly integrated into daily lives, and its influence is growingly visible across various industries. The approach emphasizing...

05 Mar 2018  |  North America  |  Market Research

Analysis of the Global Endpoint Management Market, Forecast to 2021

Growing Complexity of Security Solutions Drives Growth For Managed Services

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The Frost & Sullivan report analyzes the global market for Endpoint Management. The increasing complexity of managing the growing diverse collection of endpoint devices and operating systems is driving strong, steady growth. Security has become the primary concern for endpoint management. The increasing pace and severity of malware is driving vend...

31 Dec 2019  |  Europe  |  Market Research

European Mobile Threat Defense Market, Forecast to 2023

The Smartphone and Tablet Cybersecurity Solution Market

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Key Issues Addressed

The study provides an overview of the Mobile Threat Defense market in Europe and forecasts its development until 2023. It highlights major market drivers and restraints that are likely to affect the demand for mobile security solutions. In addition to identifying major industry trends that will have a lasting impact on MTD product development and m...

14 May 2021  |  Global  |  Frost Radar

Frost Radar™: Security Awareness Training Market, 2020

Benchmarking Future Growth Potential

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Enterprises are exposed to multiple types of threats to confidential company data pertaining to employees, partners, suppliers, and customers. Despite having advanced technological systems and policies in place, human error exposes an organization to attacks from cyberadversaries. Companies are facing a substantial threat from social engineerin...

Enterprises are exposed to multiple types of threats to confidential company data pertaining to employees, partners, suppliers, and customers. Despite having advanced technological systems and policies in place, human error exposes an organization to attacks from cyberadversaries. Companies are facing a substantial threat from social engineerin...

The sophistication of cyber threats, the growing attack surface, and the cybersecurity talent shortage are the strongest drivers of demand for managed security services. In addition, there is an overdue need for organizations to transform their security practices. An outsider with experience in serving multiple clients across several verticals is w...

30 Jul 2018  |  Global  |  Market Research

Vulnerability Management (VM) Market Analysis, Global, Forecast to 2022

Protecting Network Scan, Cloud, and Software Integrity

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The increased volume and sophistication of cyber threats is matched only by the increase in risk as more business, personal and network information assets are targeted. Vulnerability to these threats must be known with confidence and a clear plan of action. Vulnerability Management is a foundational tool for identifying, prioritizing and reporting ...

03 Mar 2020  |  Asia Pacific  |  Market Research

Asia-Pacific Integrated Cybersecurity Framework Industry Guide, 2020

A Changing Security Approach Increases Visibility, Openness, and Consistency to Fortify the Attack Surface via Unified Policies an

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Key Issues Addressed

An integrated cybersecurity framework is an offering by leading vendors aimed at the future of cybersecurity; while not a new approach, it has become increasingly popular in recent years. A unified cybersecurity framework applies a consistent set of policies and rules, with 3 key advantages over point solutions: it allows for more consistency in co...

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...