1.1 Objectives of the Study
    1.2 Market Definition and Scope
    1.3 Market Scope

        1.3.1 Market Segmentation
        1.3.2 Inclusions and Exclusions
        1.3.3 Years Considered

    1.4 Currency Considered
    1.5 Stakeholders
    1.6 Summary of Changes

    2.1 Introduction
    2.2 Market Dynamics

        2.2.1 Drivers

            2.2.1.1 Rising frequency and sophistication  of AI-driven
                    cyberattacks
            2.2.1.2 Operational efficiency gains through  AI-assisted Security
                    Operations Centers  (AI-SOC), reducing alert fatigue and
                    response times
            2.2.1.3 Escalating zero-day vulnerabilities,  necessitating rapid
                    AI-enabled detection  and remediation
            2.2.1.4 Growing demand for AI-powered  behavioral anomaly detection
                    to combat  insider threats

        2.2.2 Restraints

            2.2.2.1 Lack of standardized benchmarks for  evaluation of AI
                    cybersecurity solutions
            2.2.2.2 Uncertainty around liability in AI-led  automated security
                    actions

        2.2.3 Opportunities

            2.2.3.1 Adoption of Zero Trust for AI frameworks  to validate AI-
                    generated outputs
            2.2.3.2 Leveraging AI for real-time detection  of adversarial AI
                    attacks on critical  infrastructure
            2.2.3.3 Development of AI-driven penetration  testing and
                    vulnerability assessment  platforms

        2.2.4 Challenges

            2.2.4.1 Exploitation of prompt injection and  model manipulation
                    techniques to  bypass safeguards
            2.2.4.2 Proliferation of AI-enabled deepfake  fraud targeting
                    enterprises and critical  infrastructure

    2.3 Evolution of Generative AI Cybersecurity
    2.4 Supply Chain Analysis
    2.5 Ecosystem Analysis

        2.5.1 Generative AI-Based Cybersecurity Providers
        2.5.2 Cybersecurity Providers for Generative AI
        2.5.3 Generative AI Cybersecurity Service Providers
        2.5.4 Security Types

    2.6 Investment and Funding Scenario
    2.7 Technology Analysis

        2.7.1 Key Technologies

            2.7.1.1 Adversarial machine learning
            2.7.1.2 Federated learning security
            2.7.1.3 Differential privacy
            2.7.1.4 Homomorphic encryption
            2.7.1.5 Secure multi-party computation

        2.7.2 Complementary Technologies

            2.7.2.1 Blockchain
            2.7.2.2 Zero trust architecture
            2.7.2.3 Endpoint detection & response
            2.7.2.4 Vulnerability management

        2.7.3 Adjacent Technologies

            2.7.3.1 Quantum computing
            2.7.3.2 DevSecOps
            2.7.3.3 Forensics & incident response
            2.7.3.4 Big data analytics

    2.8 Patent Analysis

        2.8.1 Methodology
        2.8.2 Patents Filed, By Document Type
        2.8.3 Innovation and Patent Applications

    2.9 Key Conferences and Events (2025–2026)
    2.10 Porter’s Five Forces Analysis

        2.10.1 Threat of New Entrants
        2.10.2 Threat of Substitutes
        2.10.3 Bargaining Power of Suppliers
        2.10.4 Bargaining Power of Buyers
        2.10.5 Intensity of Competition Rivalry

    2.11 Trends/Disruptions Impacting Customer Business

    3.1 Overview
    3.2 Key Player Strategies
    3.3 Revenue Analysis
    3.4 Market Share Analysis

        3.4.1 Market Ranking Analysis

    3.5 Product Comparative Analysis
    3.6 Company Evaluation Matrix: Startups/SMEs, 2024

        3.6.1 Startups/SMEs Offering Generative AI-Based  Cybersecurity

            3.6.1.1 Progressive companies
            3.6.1.2 Responsive companies
            3.6.1.3 Dynamic companies
            3.6.1.4 Starting blocks

        3.6.2 Competitive Benchmarking: Startups/SMEs, 2024

            3.6.2.1 Detailed List of Key Startups/SMEs
            3.6.2.2 Competitive Benchmarking of Key  Startups/SMEs

        3.6.3 Startups/SMEs Offering Cybersecurity Solutions   for Generative AI

            3.6.3.1 Progressive companies
            3.6.3.2 Responsive companies
            3.6.3.3 Dynamic companies
            3.6.3.4 Starting blocks

        3.6.4 Competitive Benchmarking: Startups/SMEs, 2024

            3.6.4.1 Detailed List of Key Startups/SMEs
            3.6.4.2 Competitive Benchmarking of   Key Startups/SMEs

    3.7 Competitive Scenario and Trends

        3.7.1 Product Launches and Enhancements
        3.7.2 Deals