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

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.

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.

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.

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.

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.

Palo Alto Networks’ announcements at the RSA Conference (RSAC) 2025 reflect a strong commitment to AI-driven security and platform unification, offering enterprises enhanced threat detection and posture management. Key updates and launches fall into three strategic pillars: Prisma Access Web Browser 2.0 introduces a SASE-native browser that ensures consistent, policy-based secure access across all devices. It offers real-time gen AI controls and AI-powered protection against phishing, cloaking, and script-based threats. It also includes a built-in password manager for enhanced credential security and ease of use. Prisma AIRS secures the entire AI life cycle by scanning models for vulnerabilities and preventing risks such as tampering. It provides posture management to identify excessive permissions and data exposure across the AI ecosystem. Built-in AI red teaming enables automated testing to uncover potential weaknesses. Additionally, it offers runtime and AI agent security against adversarial threats such as prompt injection, identity impersonation, and memory poisoning. Cortex XSIAM 3.0 unifies proactive and reactive security operations to prevent breaches and enable rapid incident response. It leverages AI for smart exposure management, automatically remediating high-risk vulnerabilities across cloud, network, and endpoints. The platform enhances email security using LLMs to detect and block phishing threats. A centralized data engine powers real-time analytics and automation for faster, more accurate threat handling. These capabilities strengthen Palo Alto Networks’ position as a comprehensive cybersecurity provider. However, clearer guidance on interoperability, scalability, and operationalization will be important for enterprises to fully realize the value of these innovations in diverse environments.

A surge in cloud workloads, IoT deployments, and IT-OT integration is reshaping the cybersecurity landscape, leaving enterprises vulnerable to advanced threats and operational inefficiencies. With limited in-house resources, many security teams are turning to specialist Managed Detection and Response (MDR) providers for their niche focus, agility, and outcome-oriented models. These MDR specialists distinguish themselves through capabilities such as 24/7 human-led monitoring, curated threat intelligence, proactive threat hunting, and automated response strategies. Their ability to deliver identity-aware detection, orchestrated response across endpoint, cloud, and OT telemetry, and seamless deployment via unified agents makes them attractive to enterprises seeking a high degree of customization and rapid time-to-value. Moreover, many are extending their differentiation through co-innovation ecosystems, breach simulation capabilities, and modular service tiers tailored to the unique needs of different enterprise segments. This compendium provides detailed and fact-based snapshots of eight MDR specialist providers. The evaluation draws from our proprietary RFI process, briefings with the providers, buyer interviews, and continued monitoring of the global MDR landscape. Each provider profile includes detailed information on the organization’s revenue mix, solution offerings, delivery capabilities, partnerships, strategic investments, and market traction.

Security operations are under unprecedented pressure. As enterprises expand across hybrid and cloud-native environments, their Security Operations Centers (SOCs) face an accelerating volume of signals, escalating threat velocity, and rising analyst fatigue. Despite significant investments in detection, analytics, and orchestration platforms, most organizations remain constrained by a fundamental execution gap – the disconnect between knowing what needs to be done and actually doing it at scale, speed, and governance. This report introduces Systems of Execution (SoE) as a next-generation architectural framework to transform how security operations are structured and delivered. SoE do not replace the SOC – they redefine it. By embedding AI-driven reasoning, policy-aligned automation, and real-time decision orchestration, SoE empower the SOC to evolve from reactive workflows to proactive, outcome-aligned execution. They act as the connective tissue across detection, triage, containment, and learning, translating intent into governed action across diverse systems, tools, and environments. Through detailed analysis and real-world insights, this report outlines how SoE address the long-standing fragmentation in security operations, highlighting their impact across five core SOC layers: ingestion, triage, decisioning, containment, and reporting. It explores how intelligent agents, explainable automation, and feedback-driven learning loops enable security teams to respond dynamically while preserving human oversight and trust. The study also examines the organizational implications of adopting SoE for enterprises and service and technology vendors. For enterprises, SoE represent a shift from tool-centric investments to outcome-centric resilience, where metrics such as mean-time-to-containment, autonomy readiness, and explainability define success. For providers, SoE introduce new delivery models centered on execution maturity and trust transparency. For technology providers, they signal a market pivot from automation to adaptive autonomy – demanding interoperable, auditable, and policy-aware solutions. By embedding intelligence and autonomy within operational governance, SoE offer a path toward a self-improving SOC – one that learns from every incident, acts with context, and scales securely across the digital enterprise. In doing so, SoE transform security operations from reactive detection to predictive, governed execution, positioning cybersecurity as a continuous enabler of enterprise trust, agility, and resilience.