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  • Provider Compendium

    June 30, 2025
    The rise of cloud computing, IoT devices, and IT-OT convergence has significantly expanded the attack surface, making enterprises more vulnerable to advanced cyber threats. Organizations struggle with managing complex security environments, bridging talent shortages, and balancing budget constraints while ensuring robust cybersecurity. As a result, they increasingly turn to Managed Detection and Response (MDR) providers for real-time threat visibility, automated incident containment, and seamless security integration. Providers are addressing these challenges by integrating cutting-edge innovations such as generative AI-driven threat detection, incident response, and threat investigation, Security Operations Center (SOC)-as-a-service for scalable cloud-based operations, and XDR capabilities for holistic telemetry coverage. The growing convergence of IT and OT security has also fuelled the demand for unified SOCs capable of managing diverse digital ecosystems. This compendium provides detailed and fact-based snapshots of 29 global MDR providers featured on the Managed Detection and Response (MDR) Services – Provider Compendium 2025. Each profile offers a comprehensive picture of the provider’s operations, delivery presence, solutions, investments, and market success.
  • Tech Launch Perspective

    June 30, 2025
    In this report, we assess SentinelOne’s evolving cybersecurity portfolio, emphasizing the strategic innovations showcased at the RSA Conference (RSAC) 2025. SentinelOne introduced Purple AI Athena, an agentic AI that autonomously triages, investigates, and remediates security incidents. It also enhanced Singularity Hyperautomation, a no‑code workflow engine that converts analyst actions into reusable playbooks and integrates with third‑party Security Information and Event Management  (SIEMs) and data lakes for a unified security‑operations view. These enhancements aim to tackle persistent Security Operations Center (SOC) challenges by filtering alert noise, expediting investigations, and orchestrating cross‑tool responses at machine speed. SentinelOne also strengthened its multi‑cloud workload‑protection capabilities and highlighted interoperability across containerized and serverless environments. However, the expanded automation features may overlap with established Security Orchestration, Automation, and Response (SOAR) platforms, and large enterprises will scrutinize Purple AI’s explainability and guardrails before adopting autonomous response at scale. SentinelOne’s future roadmaps must clarify integration depth with legacy security stacks and outline a robust AI governance framework.
  • FEATURED
    Viewpoint

    June 27, 2025
    Gen AI is transforming how SOCs detect, respond to, and manage cyber threats. It enables automating repetitive tasks such as log analysis, alert triage, and incident investigation – freeing analysts to focus on strategic threat hunting and decision-making. Integrated effectively, gen AI enhances operational efficiency, reduces mean time to respond, and supports real-time risk profiling. This Viewpoint explores how gen AI fits across SOC architecture layers – from data collection and processing to analytics and incident response. It highlights real-world use cases, including AI-generated threat summaries, vulnerability detection through SAST/SCA automation, and intelligent response orchestration. Gen AI is also essential in workforce development, helping junior analysts upskill through guided workflows and natural language-based interfaces. While the benefits are compelling, organizations must navigate risks such as rising implementation costs, expanded attack surfaces, governance complexities, and the potential erosion of analyst skill development. Planning, budgeting, and responsibly integrating gen AI are key to realizing its full value. A structured SMART-G framework defined in this Viewpoint can guide enterprises through strategic alignment, infrastructure readiness, model optimization, workforce training, and governance. The result is a future-ready SOC – resilient, scalable, and built for a rapidly evolving threat landscape.
  • PEAK Matrix®

    June 27, 2025
    As enterprise IT ecosystems grow more complex with hybrid environments, expanding threat surfaces, and an urgent need for faster threat response, organizations are partnering with specialist Managed Detection and Response (MDR) providers for highly tuned and expert-led cybersecurity services. These specialists are becoming vital partners in enabling 24×7 monitoring, rapid containment, and advanced threat detection across endpoints, cloud, and operational technology. Specialist MDR providers offer identity-aware threat detection, curated threat intelligence, and fully integrated remediation support, often tailored to lean security teams. The emphasis is on deployment agility, customized detection pipelines, and seamless scalability, coupled with investments in automation, unified telemetry, and co-innovation partnerships. In this report, Everest Group analyzes eight MDR providers featured on the Managed Detection and Response (MDR) Services Specialists PEAK Matrix® Assessment 2025. The report is designed to offer enterprises an informed lens to evaluate MDR specialist partners and equip providers with a benchmarking tool to examine their relative market positioning and investment priorities.
  • Tech Launch Perspective

    June 26, 2025
    In this report, we evaluate Saviynt’s product innovations announced at RSA Conference (RSAC) 2025, particularly focusing on its AI-powered Identity Security Posture Management (ISPM) capabilities. Saviynt’s product launch builds on its identity cloud platform by introducing features designed to provide real-time visibility into identity posture, risk signals, and governance maturity. Core capabilities include auto-generating role descriptions, identifying orphaned accounts, and improving ownership clarity of service identities, addressing long-standing challenges in identity data hygiene. A key strength is the platform’s application-owner-centric approach, which enables business teams to directly access and analyze access control and usage data. Built upon a zero-trust-aligned architecture, the offering leverages an AI-enabled data lake to enforce continuous verification principles. Despite these enhancements, the launch reveals some gaps that enterprises may need to explore further. These include limited disclosure around integration with broader security ecosystems, such as security information and event management and threat intelligence platforms, a lack of clarity around pricing/licensing models, and insufficient transparency into the AI algorithms used. Saviynt’s ISPM solution, while promising in its conceptual direction, will benefit from better articulation of deployment strategies and industry-aligned use cases.
  • Thematic Report

    June 26, 2025
    With rapid digitization expanding the attack surface, the rise in sophisticated and state-sponsored cyber threats, and intensifying regulatory scrutiny on breach monitoring and reporting, demand for comprehensive Cyber Threat Detection and Response (CTDR) solutions continues to grow. In response to this demand, a broad range of technology providers now offer CTDR platforms tailored to diverse enterprise needs. Additionally, managed service providers deliver threat detection and response services through third-party platforms, proprietary solutions, or a hybrid of both. Regardless of the delivery model, whether in-house, managed, or hybrid, CTDR platforms serve as the foundation for threat visibility, investigation, and response. In this report, we provide an in-depth evaluation of enterprises’ CTDR postures, challenges, and investment priorities, based on a survey of enterprise customers using leading CTDR platforms. We also highlight evolving expectations and adoption dynamics in the CTDR space. Additionally, this report evaluates customer satisfaction across eight distinct parameters for 12 leading CTDR platform providers and provides an overview of their solution portfolios, helping enterprises navigate the evolving threat landscape and make informed decisions.
  • State of the Market

    May 30, 2025
    The cybersecurity services market is rapidly evolving as enterprises grapple with an expanding digital threat landscape intensified by AI transformation. With increasing deployment of generative and agentic AI systems, security challenges are no longer limited to infrastructure – they now include data provenance, hallucinations, model manipulation, and autonomous decision-making governance. The global market size is estimated at US$94-97 billion in 2024, with expected double-digit growth led by increased demand for secure AI infrastructure, real-time threat intelligence, and zero-trust execution models. North America and Europe are leading adoption due to regulatory mandates such as DORA and NIS2, while industries such as BFSI, healthcare, and manufacturing are investing in segment-specific cybersecurity solutions. This report explores cybersecurity adoption patterns across industries, the strategic shift toward outcome-based service models, and the key role of secure-by-design principles in AI-enabled enterprises. It also introduces a risk mapping framework for AI transformation, highlighting the multilayered complexities of securing application, infrastructure, and model layers in generative and agentic AI systems. The report equips cybersecurity leaders with a structured playbook for secure AI adoption, spanning the stages of prioritization, preparation, engineering, deployment, orchestration, control, and tracking – enabling a secure, resilient, and scalable cybersecurity posture. Scope All industries and geographies Services: cybersecurity services, including secure AI transformation Methodology: based on Everest Group’s annual RFIs, buyer interviews, provider briefings, and trends analysis Contents In this report, we examine: The trends, demand drivers, and key enterprise concerns in the global cybersecurity services market Cybersecurity adoption patterns across industries and geographies The evolution of cybersecurity strategies to address AI-induced risks An enterprise playbook for secure AI transformation The market outlook and strategic imperatives for 2025 and beyond

  • April 09, 2025
    In today’s dynamic talent market, organizations must actively monitor key roles and skills, both in-demand and emerging, to enable strategic workforce planning. Higher demand may indicate more significant competition for talent or a higher risk of attrition, making it vital to analyze talent demand trends to anticipate external competition and identify leading industries for talent acquisition. Everest Group’s half-yearly report offers insights into monthly IT services talent demand trends across India, highlighting top industries, roles, and skills based on H2 2024 demand. Leveraging data from our Talent Genius™ tool, this report comprehensively analyzes the current talent market, empowering organizations to stay competitive, plan for future workforce needs, and make informed talent acquisition decisions. Scope Industry: IT services Geography: India Contents In this report, we analyze talent demand trends in India's IT services sector on a national scale. Additionally, we provide detailed profiles of 15 major Tier-1 and Tier-2 cities, offering insights into talent demand trends, top industries, key roles, and essential skills in each location.
  • Tech Launch Perspective

    March 12, 2025
    Telecom-specific AI-powered solutions will be vital in optimizing telecom infrastructure and delivering next-generation connectivity as 5G, Open RAN, and network disaggregation gain momentum. The industry is significantly transforming, with Large Language Models (LLMs) and Small Language Models (SLMs) being increasingly adopted to automate, optimize, and enhance network operations, customer service, and infrastructure planning. Unlike generic AI models, industry-specific LLMs and SLMs are designed to understand, process, and generate telecom-relevant insights, making them more efficient and accurate for domain-specific applications. SLMs are particularly valuable for low-power, real-time AI applications, making AI-driven network optimization and diagnostics more scalable. This LLM integration offers numerous benefits, including improved efficiency, personalized customer interactions, and advanced network optimization. In this report, we explore NetoAI’s SLM product TSLAM 1.5B's transformative potential, examining its key features and impact on network management, customer support, and security assistance. We also provide insights into its market positioning, key benefits, and broader implications for telecom enterprises as they cost-effectively adapt to sustainable standards. Scope All industries and geographies Contents In this report, we: Provide insights into the global telecommunications industry Examine NetoAI’s current positioning and alignment among telecommunication enterprises Explore the features, benefits, and challenges of NetoAI’s product TSLAM 1.5B Membership(s) Application Services Artificial Intelligence (AI) Banking and Financial Services Information Technology Cloud and Infrastructure Services Clinical Development Technology Cybersecurity Data & Analytics Digital Services Digital Workplace Enterprise Platform Services (EPS) Healthcare Payer and Provider Information Technology Insurance Information Technology Marketing and Interactive Experience Life Sciences Information Technology Retail and CPG Sustainability Technology and Services Sourcing and Vendor Management
  • State of the Market

    March 07, 2025
    This comprehensive report examines the state of the Identity and Access Management (IAM) services market as it evolves toward converged solutions that integrate identity governance and administration and privileged IAM. It discusses how unified platforms designed to simplify identity management, reduce operational risks, and improve compliance across on-premises, cloud, and hybrid environments are replacing fragmented legacy systems. By drawing on robust research scope and real-world market touchpoints, the report analyzes current trends and future growth prospects in detail. The report further delves into key market dynamics and challenges – including rising cyber threats, digital infrastructures’ increasing complexity, and the need for continuous oversight – that are driving integrated IAM framework adoption. It also highlights strategic recommendations and frameworks, such as the 5A model, that can help enterprises assess, architect, activate, augment, and advance their converged IAM journey. This detailed exploration makes the report an essential resource for CIOs, security leaders, and IT strategists aiming to future-proof their organizations’ IAM practices. Scope All industries and geographies Contents In this report, we examine Digital identity challenges Converged IAM’s evolution Global market insights The 5A framework Membership(s) Cybersecurity Sourcing and Vendor Management