Search results for: 'risk intelligence solutions'

Artificial Intelligence (AI) has emerged to be one of the most essential technologies to develop machine intelligence. The technology has advanced significantly over the ages to empower applications and machines to learn from its own experiences and perform autonomously. Technology evolution in the AI space is continuously driving the development o...

15 Sep 2022  |  Global  |  Market Research

Global Cyber Threat Intelligence (CTI) and Threat Intelligence Platform (TIP) Markets—Forecast to 2024

The Ever-evolving and Sophisticated Threat Landscape Fuels Demand for Threat Intelligence Solutions

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Threat intelligence is the collection, analysis, and operationalization of external and internal data about past, present, and future cyberattacks that organizations can leverage to understand their security environments and prevent threats. Frost & Sullivan identifies three segments in this broad market: cyber threat intelligence (CTI), threat...

Intelligence- and data-driven decision-making have quickly emerged as core competencies that drive an organization s security strategies to safeguard the people, assets, and data for which they are responsible. Ongoing convergence between physical and digital security systems, the influx of new analytics to inform operational decisions, and digital...

Enterprise digitalization and surging adoption of IoT applications have led to voluminous amounts of complex structured and unstructured data that require processing to draw meaningful insights. A Frost & Sullivan voice of customer (VOC) global survey on artificial intelligence (AI) finds that 43% of enterprises list data-centricity as a key busine...

Enterprise digitalization efforts have altered the modern threat landscape. IT is more complex, and third-party integration is more essential, complicating security and increasing attack surfaces. Traditional perimeter-based security measures no longer protect a cloud-extended workspace: threat actors now target digital assets beyond an organizatio...

Insurtech risk assessment and analytics has grown because of the digitization of the insurance industry and the demand for online insurance products and secure data management. Companies in this segment leverage artificial intelligence (AI), machine learning (ML), and big data analytics to provide insurers with more accurate and actionable risk...

Digital risk protection (DRP) is a set of cybersecurity procedures that consists of four strategic pillars: mapping out the digital attack surface area, monitoring the threat landscape, mitigating scam and phishing attacks, and managing a comprehensive risk strategy to protect an organization’s external-facing digital assets beyond its network peri...

This analyst insight examines the market forces driving AI adoption in CX management and explains why governance must evolve alongside automation. It outlines the operational and compliance risks of poorly governed AI, identifies the core pillars of effective governance, and provides a practical roadmap for organizations seeking to deploy AI respon...

This Frost & Sullivan research examines the growing need for artificial intelligence (AI) services to help businesses meet key goals and objectives, as well as the strategic position of public cloud service providers to develop and launch successful AI capabilities for customers. The report discusses the importance of public cloud providers in the ...