Generative AI Cybersecurity Market Report 2025- 2031, By Security Type, Geo, Tech - MarketsandMarkets

HOME INFORMATION AND COMMUNICATIONS TECHNOLOGY GENERATIVE AI CYBERSECURITY MARKET Generative AI Cybersecurity Market Report Code TC 9099 Published in Aug, 2025, By MarketsandMarkets™ CHOOSE LICENSE TYPE SINGLE USER $4950 CORPORATE LICENSE $8150 Inquire Before Buying DESCRIPTION TABLE OF CONTENTS METHODOLOGY Download FREE Sample Generative AI Cybersecurity Market by Generative AI-based Cybersecurity (SIEM, Risk Assessment, Threat Intelligence), Cybersecurity Software for Generative AI (AI Model Security), Security Type (Data Encryption, Access Control) - Global Forecast to 2031 USD 35.5 BN MARKET SIZE, 2031 CAGR 26.5% (2025-2031) 400+ REPORT PAGES 65+ MARKET TABLES OVERVIEW Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis The Generative AI cybersecurity market is undergoing rapid expansion, with estimates projecting a substantial market value surge from approximately USD 8.65 billion in 2025 to USD 35.50 billion by 2031, with a 26.5% CAGR. One of the biggest forces driving the Generative AI cybersecurity market is the rise of task-executing AI agents, which can autonomously perform actions but require strong runtime guardrails, policy checks, and isolation to prevent misuse or unintended harm. The IBM Cost of a Data Breach Report 2025 found that 13% of surveyed global organizations reported breaches of AI models or applications, and 60% of those breaches led to compromised data, while 31% caused operational disruption. Organizations dealing with "shadow AI" unsanctioned AI tools faced an average added cost of USD 670,000 per breach compared to those with low or no shadow AI usage. Simultaneously, sensitive data leakage through prompts, model memory, retrieval-augmented generation (RAG) sources, or generated outputs has become a critical concern, amplifying the need for advanced data loss prevention (DLP) tailored for AI workflows. KEY TAKEAWAYS North America generative AI cybersecurity market will hold the largest market share (38.7%) in 2025. The generative AI-based cybersecurity software offering is going to showcase fastest growth rate of 26.6% during the forecast period. By generative AI cybersecurity software, the risk assessment software is projected to grow at the fastest rate of 30.3% from 2025 to 2031. By cybersecurity software for generative AI, the generative AI application security dominated the market in 2024. By security type, Network security is projected to dominate the market in 2025. Companies such as fortinet, Palo Alto Networks, and CrowdStrike were identified as some of the star players in the generative AI cybersecurity Market, given their strong market share and product footprint. Companies Recorded Future AI, Abnormal Security, and BigID, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS The impact on consumers’ business emerges from customer trends or disruptions. Hot belts are the clients of generative AI cybersecurity providers, and target applications are the clients of generative AI cybersecurity providers. Shifts, which are changing trends or disruptions, will impact the revenues of end users. The revenue impact on end users will affect the revenue of hotbeds, which will further affect the revenues of generative AI cybersecurity providers. Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis MARKET DYNAMICS DRIVERS Impact Level §Rising frequency and sophistication of AI-driven cyberattacks §Operational efficiency gains through AI-assisted Security Operations Centers (AI-SOC) RESTRAINTS Impact Level §Lack of standardized benchmarks for evaluating AI cybersecurity solutions §Uncertainty around liability in AI-led automated security actions OPPORTUNITIES Impact Level §Adoption of Zero Trust for AI frameworks for validating AI-generated outputs §Development of AI-driven penetration testing and vulnerability assessment platforms CHALLENGES Impact Level §Exploitation of prompt injection and model manipulation techniques to bypass safeguards §Growth of AI-enabled deepfake fraud targeting enterprises and critical infrastructure Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis Driving Cyber Resilience through AI-Powered SOC Efficiency AI-assisted Security Operations Centers (AI-SOCs) are becoming crucial in the generative AI cybersecurity market, enabling faster threat detection, investigation, and response. By embedding generative AI into SOC workflows, organizations gain automated triage, dynamic threat modeling, and context-rich analysis that reduce manual workload and improve decision-making. Real-time multi-source telemetry, predictive analytics, and adaptive playbooks enhance analyst productivity while minimizing dwell time. Enterprises adopting AI-first SOCs report measurable gains in resilience, compliance, and efficiency, positioning AI-SOC innovation as a cornerstone of sustainable cybersecurity transformation. Balancing AI Accuracy with Explainability in Security Decisions The opacity of large language models in security decision-making remains a major restraint for the generative AI cybersecurity market. While these models excel in anomaly detection, attack prediction, and automated response, their “black-box” logic creates compliance and trust challenges, particularly in regulated sectors, such as banking, healthcare, and government. This lack of explainability makes audits, incident investigations, and governance reporting more difficult, which in turn slows down adoption. Vendors are working on explainable AI frameworks and governance toolkits, but their integration remains in the early stages. Long-term differentiation will hinge on balancing advanced AI performance with transparent, interpretable outputs. Proactive Defense with GenAI-Powered Penetration Testing AI-powered penetration testing and vulnerability assessment platforms present a major growth opportunity in the generative AI cybersecurity market. Generative models enable automated discovery of weaknesses, adaptive attack simulations, and prioritization of vulnerabilities by exploitability and business impact, accelerating remediation cycles. By combining NLP and contextual reasoning, these tools translate findings into actionable recommendations for both SOC teams and executives. As attack surfaces expand across cloud, IoT, and APIs, real-time AI-driven testing emerges as a strategic differentiator, strengthening cyber resilience while aligning with compliance and regulatory requirements. Threat of Prompt Injection Undermining AI Model Integrity Prompt injection and model manipulation are the rising challenges in the generative AI cybersecurity market, as adversaries exploit LLM prompt processing to bypass safeguards and alter outputs. These attacks can extract sensitive data, manipulate security policies, or generate unauthorized responses. Increasingly sophisticated methods, including context poisoning and hidden triggers, threaten high-stakes sectors such as finance and healthcare. Limited guardrail testing frameworks and weak interpretability tools slow mitigation. While vendors pursue adversarial training and layered filtering, evolving attack vectors demand continuous adaptation, red teaming, and real-time anomaly detection to preserve trust and compliance. GENERATIVE AI CYBERSECURITY MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES COMPANY USE CASE DESCRIPTION BENEFITS Zerofox provides actionable intelligence to shore up simply business’s information security. ZeroFox protected 15 Simply Business executives from impersonation, account takeover, physical threats, and doxing ZeroFox escalated more than 150 high-value alerts during our partnership. Pomelo stays secure amid rapid growth with Snyk. The team has fixed 9,500 issues since adopting Snyk. This total includes 2,150 highs and 200 criticals, with 100 containing mature exploits. OpenAI uses Okta to safeguard itself. By safeguarding OpenAI’s operations, Okta provided valuable insights that strengthened security protocols, benefiting all clients. This collaborative learning approach greatly improved the overall cybersecurity. Carnival Corporation charts a safer course with Cyberark. With CyberArk's solutions, Carnival Corporation achieved stronger protection for onboard digital systems, enhanced guest and business trust, and improved resilience against emerging cyber threats. IBM uses Palo Alto to protects its AI systems. IBM Consulting's expanded cybersecurity services portfolio allowed it to offer more comprehensive solutions to its clients. Over 1,000 security consultants were trained to deploy and manage Palo Alto Networks' products, which enhanced the skill set of IBM's workforce. Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only. MARKET ECOSYSTEM The Generative AI Cybersecurity ecosystem reveals how different companies are working to protect systems, data, and applications using the power of generative AI. It brings together three main groups: those creating AI-based cybersecurity tools, those securing AI systems themselves, and those offering AI-powered security services. The ecosystem also maps key players based on different types of security, such as database, network, endpoint, and application security. This gives a clear view of how big tech companies and cybersecurity specialists are combining AI with advanced protection methods to tackle new and evolving cyber threats. Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only. MARKET SEGMENTS Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis Generative AI Cybersecurity Market, By Offering This segmentation highlights the core market components such as software, and supporting services. Offerings include purpose-built cybersecurity software, AI-enhanced threat detection platforms, consulting services, and managed security operations designed to safeguard generative AI systems and data workflows. It provides a clear view of the ecosystem mix that drives adoption and implementation of generative AI cybersecurity. Generative AI Cybersecurity Market, By Generative AI Cybersecurity Software This segment covers software designed to directly use generative AI capabilities for defense, including AI-native threat detection, anomaly monitoring, intelligent response systems, and adaptive firewalls. These solutions focus on applying generative AI to strengthen cyber defenses, enabling more accurate risk detection, predictive analysis, and proactive remediation against advanced cyber threats. Generative AI Cybersecurity Market, By Cybersecurity Software for Generative AI This segment focuses on software solutions to protect generative AI models, training data, and applications. It includes software that secures data pipelines, prevents prompt injection, mitigates model poisoning, safeguards intellectual property, and enforces compliance in AI-driven environments. This software ensures the responsible and safe use of generative AI technologies across industries. Generative AI Cybersecurity Market, By Security Type This segmentation reflects the different categories of security needs, including network security, endpoint security, application security, and data security. Each type addresses specific vulnerabilities exposed by or within generative AI ecosystems, ensuring that organizations can deploy multi-layered defenses aligned with their infrastructure and threat landscape. Generative AI Cybersecurity Market, By End User This segment identifies the industries and organizations adopting generative AI cybersecurity, such as BFSI, healthcare, government, telecom, technology providers, media, and manufacturing. Each end user group has unique requirements, from safeguarding sensitive financial or patient data to protecting intellectual property or critical infrastructure, shaping how cybersecurity solutions are designed and deployed. REGION Asia Pacific to be fastest-growing region in global Deepfake AI Market during forecast period The Asia Pacific generative AI cybersecurity market is the fastest-growing globally and is projected to record the highest CAGR during the forecast period. As AI technologies spread quickly, cyber threats are becoming more advanced. Investments in generative AI-powered cybersecurity solutions are rising, driven by the urgent need to secure sensitive data and AI workloads from sophisticated attacks. Close cooperation between governments and private players is strengthening efforts to build robust security frameworks. GENERATIVE AI CYBERSECURITY MARKET: COMPANY EVALUATION MATRIX The generative AI cybersecurity market is evolving rapidly, with Fortinet recognized as a Star due to its strong product footprint and high market share. IBM is recognized as an Emerging Leader, demonstrating notable progress and positioning itself to become a Star shortly, as it expands its capabilities and influence in generative AI-driven cybersecurity. Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis KEY MARKET PLAYERS Microsoft (US) Google (US) Palo Alto Networks (US) AWS (US) CrowdStrike (US) MARKET SCOPE REPORT METRIC DETAILS Market Size in 2024 (Value) USD 6.68 Billion Market Forecast in 2031 (value) USD 35.50 Billion Growth Rate 26.50% Years Considered 2020–2031 Base Year 2024 Forecast Period 2025–2031 Units Considered USD Million Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends. Segments Covered • By Offering • Software • Services • By Generative AI-based Cybersecurity software • Threat Detection & Intelligence Software • Risk Assessment Software • Exposure Management Software • Phishing Simulation & Prevention Software • Remediation Guidance Software • Threat Hunting Platforms • Code Analysis software • By Cybersecurity Solutions for Generative AI Software • Generative AI Training Data Security Software • Generative AI Model Security Software • Generative AI Infrastructure Security Software • Generative AI Application Security Software • By Security Type • Generative AI Training Data Security Software • Generative AI Model Security Software • Generative AI Infrastructure Security Software • Generative AI Application Security Software • By End User • Generative AI-based Cybersecurity End-Users • Cybersecurity for Generative AI End-Users Regions Covered North America, Asia Pacific, Europe, South America, Middle East & Africa WHAT IS IN IT FOR YOU: GENERATIVE AI CYBERSECURITY MARKET REPORT CONTENT GUIDE RECENT DEVELOPMENTS August 2025 : In August 2025, SentinelOne announced the acquisition of Prompt Security to strengthen its AI-native Singularity Platform. This move enhances real-time visibility and provides advanced security controls for generative AI and agentic AI workloads in enterprises. By integrating Prompt Security’s expertise, SentinelOne aims to deliver more proactive threat detection, intelligent incident response, and improved security posture for AI-driven business environments. July 2025 : In July 2025, Accenture and Microsoft expanded their strategic partnership to jointly invest in generative AI-powered cybersecurity solutions. The collaboration focuses on accelerating Security Operations Center (SOC) modernization, deploying AI-driven threat analysis, and enabling automated security workflows. This initiative is designed to help enterprises detect and mitigate cyber threats faster, while enhancing operational efficiency across complex IT and AI environments. July 2025 : In July 2025, Palo Alto Networks acquired Protect AI to bolster its generative AI cybersecurity capabilities. This acquisition aims to accelerate AI integration into Palo Alto’s Security Operating Platform, strengthening defenses against AI-specific threats. The combined expertise will allow enterprises to more effectively secure AI models, protect training data, and detect malicious activity targeting AI systems. July 2025 : In July 2025, CrowdStrike and NVIDIA collaborated to integrate GPU-optimized AI pipelines with large language models for enhanced cybersecurity. This partnership will enable faster AI-driven threat detection, real-time anomaly recognition, and accelerated response times. Leveraging NVIDIA’s GPU performance and CrowdStrike’s threat intelligence, the solution aims to address the growing scale and complexity of modern cyberattacks. April 2025 : In April 2025, Fortinet expanded its FortiAI capabilities within its Security Fabric platform to include advanced generative AI features. These enhancements are integrated across multiple Fortinet products, enabling improved threat detection, faster incident triage, and secure AI model usage. The upgrade supports organizations in defending against AI-powered attacks, while ensuring operational resilience and regulatory compliance in increasingly AI-centric environments.   TABLE OF CONTENTS Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors. TITLE PAGE NO 1 INTRODUCTION       52 2 RESEARCH METHODOLOGY       57 3 EXECUTIVE SUMMARY       69 4 PREMIUM INSIGHTS       75 5 MARKET OVERVIEW AND INDUSTRY TRENDS AI-driven cybersecurity is transforming threat detection and response, despite challenges in standardization and liability.       78   5.1 INTRODUCTION         5.2 MARKET DYNAMICS           5.2.1 DRIVERS           5.2.1.1 Rising frequency and sophistication of AI-driven cyberattacks         5.2.1.2 Operational efficiency gains through AI-assisted Security Operations Centers (AI-SOC), reducing alert fatigue and response times         5.2.1.3 Escalating zero-day vulnerabilities, necessitating rapid AI-enabled detection and remediation         5.2.1.4 Growing demand for AI-powered behavioral anomaly detection to combat insider threats       5.2.2 RESTRAINTS           5.2.2.1 Lack of standardized benchmarks for evaluation of AI cybersecurity solutions         5.2.2.2 Uncertainty around liability in AI-led automated security actions       5.2.3 OPPORTUNITIES           5.2.3.1 Adoption of Zero Trust for AI frameworks to validate AI-generated outputs         5.2.3.2 Leveraging AI for real-time detection of adversarial AI attacks on critical infrastructure         5.2.3.3 Development of AI-driven penetration testing and vulnerability assessment platforms       5.2.4 CHALLENGES           5.2.4.1 Exploitation of prompt injection and model manipulation techniques to bypass safeguards         5.2.4.2 Proliferation of AI-enabled deepfake fraud targeting enterprises and critical infrastructure     5.3 EVOLUTION OF GENERATIVE AI CYBERSECURITY         5.4 SUPPLY CHAIN ANALYSIS           5.5 ECOSYSTEM ANALYSIS             5.5.1 GENERATIVE AI-BASED CYBERSECURITY PROVIDERS         5.5.2 CYBERSECURITY PROVIDERS FOR GENERATIVE AI         5.5.3 GENERATIVE AI CYBERSECURITY SERVICE PROVIDERS         5.5.4 SECURITY TYPES       5.6 INVESTMENT AND FUNDING SCENARIO         5.7 CASE STUDY ANALYSIS           5.7.1 ZEROFOX PROVIDES ACTIONABLE INTELLIGENCE TO SHORE UP SIMPLY BUSINESS’S INFORMATION SECURITY         5.7.2 POMELO STAYS SECURE AMIDST RAPID GROWTH WITH SNYK         5.7.3 EVOCABANK HELPS NOKIA PROTECT MILLIONS OF FOLLOWERS         5.7.4 CARNIVAL CORPORATION CHARTS A SAFER COURSE WITH CYBERARK         5.7.5 IBM USES PALO ALTO TO PROTECTS ITS AI SYSTEMS         5.7.6 OPENAI USES OKTA TO SAFEGUARD ITSELF       5.8 TECHNOLOGY ANALYSIS           5.8.1 KEY TECHNOLOGIES           5.8.1.1 Adversarial machine learning         5.8.1.2 Federated learning security         5.8.1.3 Differential privacy         5.8.1.4 Homomorphic encryption         5.8.1.5 Secure multi-party computation       5.8.2 COMPLEMENTARY TECHNOLOGIES           5.8.2.1 Blockchain         5.8.2.2 Zero trust architecture         5.8.2.3 Endpoint detection & response         5.8.2.4 Vulnerability management       5.8.3 ADJACENT TECHNOLOGIES           5.8.3.1 Quantum computing         5.8.3.2 DevSecOps         5.8.3.3 Forensics & incident response         5.8.3.4 Big data analytics     5.9 REGULATORY LANDSCAPE           5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         5.9.2 KEY REGULATIONS           5.9.2.1 North America         5.9.2.2 Europe         5.9.2.3 Asia Pacific         5.9.2.4 Middle East & Africa         5.9.2.5 Latin America     5.10 PATENT ANALYSIS             5.10.1 METHODOLOGY         5.10.2 PATENTS FILED, BY DOCUMENT TYPE         5.10.3 INNOVATION AND PATENT APPLICATIONS       5.11 PRICING ANALYSIS             5.11.1 AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING, 2025         5.11.2 AVERAGE SELLING PRICE, BY SECURITY TYPE, 2025       5.12 KEY CONFERENCES AND EVENTS (2025–2026)         5.13 PORTER’S FIVE FORCES ANALYSIS           5.13.1 THREAT OF NEW ENTRANTS         5.13.2 THREAT OF SUBSTITUTES         5.13.3 BARGAINING POWER OF SUPPLIERS         5.13.4 BARGAINING POWER OF BUYERS         5.13.5 INTENSITY OF COMPETITION RIVALRY       5.14 KEY STAKEHOLDERS & BUYING CRITERIA             5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS         5.14.2 BUYING CRITERIA       5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS           5.15.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS     6 GENERATIVE AI CYBERSECURITY MARKET, BY OFFERING Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 26 Data Tables       117   6.1 INTRODUCTION           6.1.1 OFFERING: GENERATIVE AI CYBERSECURITY MARKET DRIVERS       6.2 SOFTWARE, BY TYPE           6.2.1 STRENGTHENING OF GENERATIVE AI SECURITY WITH PURPOSE-BUILT SOFTWARE         6.2.2 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE         6.2.3 CYBERSECURITY SOFTWARE FOR GENERATIVE AI       6.3 SOFTWARE, BY DEPLOYMENT MODE           6.3.1 OPTIMIZING CYBER DEFENSE WITH FLEXIBLE DEPLOYMENT MODES         6.3.2 CLOUD         6.3.3 ON-PREMISES       6.4 SERVICES           6.4.1 RESILIENT GENERATIVE AI CYBERSECURITY ENABLED THROUGH COMPREHENSIVE SERVICES         6.4.2 PROFESSIONAL SERVICES           6.4.2.1 Training & consulting         6.4.2.2 System integration & implementation         6.4.2.3 Support & maintenance       6.4.3 MANAGED SERVICES     7 CYBERSECURITY SOFTWARE MARKET FOR GENERATIVE AI, BY TYPE Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 10 Data Tables       132   7.1 INTRODUCTION           7.1.1 CYBERSECURITY SOFTWARE FOR GENERATIVE AI: MARKET DRIVERS       7.2 GENERATIVE AI TRAINING DATA SECURITY SOFTWARE           7.2.1 ENSURING RELIABILITY AND COMPLIANCE WITH TRAINING DATA SECURITY         7.2.2 DATA INTEGRITY VERIFICATION         7.2.3 SECURE DATA AUGMENTATION         7.2.4 AUTOMATED DATA CLEANING         7.2.5 DATA QUALITY MONITORING         7.2.6 DATA ANONYMIZATION       7.3 GENERATIVE AI MODEL SECURITY SOFTWARE           7.3.1 SHIELDING GENERATIVE AI MODELS AGAINST EVOLVING THREATS         7.3.2 MODEL INTEGRITY         7.3.3 ADVERSARIAL TRAINING & TESTING         7.3.4 SECURE MODEL TRAINING ENVIRONMENTS         7.3.5 MODEL DRIFT & BIAS DETECTION         7.3.6 ROBUSTNESS TESTING       7.4 GENERATIVE AI INFRASTRUCTURE SECURITY SOFTWARE           7.4.1 ENSURING RESILIENT FOUNDATIONS FOR LARGE-SCALE GENERATIVE AI OPERATIONS         7.4.2 CONTINUOUS MONITORING         7.4.3 AUTOMATED SECURITY PATCHING         7.4.4 SECURE API MANAGEMENT         7.4.5 REAL-TIME THREAT DETECTION         7.4.6 SECURITY AUDITS       7.5 GENERATIVE AI APPLICATION SECURITY SOFTWARE           7.5.1 DEFENDING GENERATIVE AI APPLICATIONS FROM ATTACK VECTORS         7.5.2 PROMPT INJECTION SECURITY         7.5.3 DATA LEAKAGE PREVENTION         7.5.4 USER AUTHENTICATION & ACCESS CONTROL         7.5.5 MONITORING & ANOMALY DETECTION         7.5.6 ETHICAL AI GOVERNANCE     8 GENERATIVE AI CYBERSECURITY MARKET, BY END USER Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 42 Data Tables       147   8.1 INTRODUCTION           8.1.1 END USERS: GENERATIVE AI CYBERSECURITY MARKET DRIVERS       8.2 END USERS: GENERATIVE AI-BASED CYBERSECURITY           8.2.1 DRIVING ADVANCED THREAT MITIGATION WITH GENERATIVE AI         8.2.2 GOVERNMENT & DEFENSE         8.2.3 BFSI         8.2.4 IT & ITES         8.2.5 HEALTHCARE & LIFE SCIENCES         8.2.6 RETAIL & ECOMMERCE         8.2.7 MANUFACTURING         8.2.8 ENERGY & UTILITIES         8.2.9 TELECOMMUNICATIONS         8.2.10 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS         8.2.11 MEDIA & ENTERTAINMENT         8.2.12 OTHER END USERS       8.3 END USERS: CYBERSECURITY FOR GENERATIVE AI           8.3.1 PROTECTING GENERATIVE AI SERVICES TO SAFEGUARD END USERS         8.3.2 CLOUD HYPERSCALERS         8.3.3 MANAGED SECURITY SERVICE PROVIDERS         8.3.4 GENERATIVE AI PROVIDERS           8.3.4.1 Foundation model/LLM developers         8.3.4.2 Data annotators         8.3.4.3 Content creation platform providers         8.3.4.4 Generative AI-as-a-service provider   9 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET, BY TYPE Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 16 Data Tables       170   9.1 INTRODUCTION           9.1.1 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET DRIVERS       9.2 THREAT DETECTION & INTELLIGENCE SOFTWARE           9.2.1 OFFERS ENHANCED CYBERSECURITY PRECISION AND SPEED         9.2.2 AUTOMATED THREAT ANALYSIS         9.2.3 SECURITY INFORMATION & EVENT MANAGEMENT         9.2.4 AI-NATIVE SECURITY ANALYSIS         9.2.5 THREAT CORRELATION         9.2.6 THREAT INTELLIGENCE       9.3 RISK ASSESSMENT SOFTWARE           9.3.1 PREDICTIVE RISK ASSESSMENT STRENGTHENS GENERATIVE AI CYBERSECURITY POSTURE         9.3.2 AUTOMATED RISK INSIGHTS         9.3.3 IMPACT ANALYSIS         9.3.4 RISK INTELLIGENCE         9.3.5 COMPLIANCE AUTOMATION         9.3.6 OTHER RISK ASSESSMENT SOFTWARE       9.4 EXPOSURE MANAGEMENT SOFTWARE           9.4.1 OFFERS AI-POWERED VULNERABILITY OVERSIGHT FOR STRONGER CYBERSECURITY         9.4.2 VULNERABILITY ANALYSIS         9.4.3 EXPOSURE PRIORITIZATION         9.4.4 AUTOMATED EXPOSURE DETECTION         9.4.5 INCIDENT RESPONSE         9.4.6 OTHER EXPOSURE MANAGEMENT SOFTWARE       9.5 PHISHING SIMULATION & PREVENTION SOFTWARE           9.5.1 SIMULATES REALISTIC PHISHING SCENARIOS WITH GENERATIVE AI         9.5.2 PHISHING SIMULATION CAMPAIGNS         9.5.3 PHISHING ATTACK ANALYSIS         9.5.4 DEEPFAKE DETECTION         9.5.5 FRAUD PREVENTION         9.5.6 SOCIAL ENGINEERING DETECTION       9.6 REMEDIATION GUIDANCE SOFTWARE           9.6.1 ENABLES QUICK AND INFORMED RESPONSE WITH GENERATIVE AI REMEDIATION GUIDANCE         9.6.2 AUTOMATED REMEDIATION         9.6.3 INTERACTIVE REMEDIATION SUPPORT         9.6.4 PROACTIVE THREAT MANAGEMENT         9.6.5 COMPLIANCE REMEDIATION         9.6.6 OTHER REMEDIATION GUIDANCE SOFTWARE       9.7 THREAT HUNTING PLATFORMS           9.7.1 CYBER DEFENSE ENHANCED BY PREDICTING AND NEUTRALIZING STEALTH ATTACKS         9.7.2 REAL-TIME THREAT ANALYSIS         9.7.3 NATURAL LANGUAGE QUERY INTERFACE         9.7.4 BEHAVIOR ANALYSIS         9.7.5 RESPONSE AUTOMATION         9.7.6 OTHER THREAT HUNTING PLATFORMS       9.8 CODE ANALYSIS SOFTWARE           9.8.1 SECURES DEVELOPMENT PIPELINES WITH GENERATIVE AI PRECISION         9.8.2 CODE SNIPPET ANALYSIS         9.8.3 SOURCE CODE PROTECTION         9.8.4 VULNERABILITY DETECTION         9.8.5 AUTOMATED CODE REVIEW         9.8.6 COMPLIANCE CHECKS     10 GENERATIVE AI CYBERSECURITY MARKET, BY SECURITY TYPE Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 50 Data Tables       193   10.1 INTRODUCTION           10.1.1 SECURITY TYPE: GENERATIVE AI CYBERSECURITY MARKET DRIVERS       10.2 DATABASE SECURITY           10.2.1 SECURES GENERATIVE AI PIPELINES WITH ADVANCED DATABASE PROTECTION         10.2.2 DATA LOSS PREVENTION         10.2.3 DATA USAGE MONITORING         10.2.4 DATA COMPLIANCE & GOVERNANCE         10.2.5 DATA ENCRYPTION         10.2.6 DATA MASKING & TOKENIZATION         10.2.7 ACCESS CONTROL       10.3 NETWORK SECURITY           10.3.1 OPTIMIZING SECURE CONNECTIVITY FOR GENERATIVE AI WORKLOADS         10.3.2 NETWORK TRAFFIC ANALYSIS         10.3.3 SECURE ACCESS SERVICE EDGE         10.3.4 ZERO TRUST NETWORK ACCESS         10.3.5 FIREWALLS         10.3.6 INTRUSION DETECTION/PREVENTION SYSTEMS         10.3.7 VPNS & SECURE TUNNELING       10.4 ENDPOINT SECURITY           10.4.1 OPTIMIZING THREAT DETECTION AND RESPONSE ACROSS GENERATIVE AI ENDPOINTS         10.4.2 ENDPOINT DETECTION & RESPONSE         10.4.3 ENDPOINT PROTECTION PLATFORMS       10.5 APPLICATION SECURITY           10.5.1 SECURING GENERATIVE AI WORKFLOWS WITH END-TO-END APPLICATION PROTECTION         10.5.2 STATIC APPLICATION SECURITY TESTING         10.5.3 DYNAMIC APPLICATION SECURITY TESTING         10.5.4 LLM SECURITY         10.5.5 RUNTIME PROTECTION         10.5.6 INCIDENT RESPONSE & RECOVERY         10.5.7 GOVERNANCE, RISK, AND COMPLIANCE     11 GENERATIVE AI CYBERSECURITY MARKET, BY REGION Market Size & Growth Rate Forecast Analysis to 2031 in USD Million | 496 Data Tables       220   11.1 INTRODUCTION         11.2 NORTH AMERICA           11.2.1 NORTH AMERICA: GENERATIVE AI CYBERSECURITY MARKET DRIVERS         11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK         11.2.3 US           11.2.3.1 Market driven by robust technological infrastructure and culture of innovation       11.2.4 CANADA           11.2.4.1 Recent advancements and presence of leading companies to drive market     11.3 EUROPE           11.3.1 EUROPE: GENERATIVE AI CYBERSECURITY MARKET DRIVERS         11.3.2 EUROPE: MACROECONOMIC OUTLOOK         11.3.3 UK           11.3.3.1 Commitment to leveraging AI to tackle evolving cyber threats to fuel growth       11.3.4 GERMANY           11.3.4.1 Active government promotion of AI research to boost market       11.3.5 FRANCE           11.3.5.1 Emphasis on R&D to drive market       11.3.6 REST OF EUROPE       11.4 ASIA PACIFIC           11.4.1 ASIA PACIFIC: GENERATIVE AI CYBERSECURITY MARKET DRIVERS         11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK         11.4.3 CHINA           11.4.3.1 AI-driven cybersecurity solutions that offer robust defense against digital threats – key market driver       11.4.4 INDIA           11.4.4.1 Market trajectory characterized by significant investment in research and development       11.4.5 JAPAN           11.4.5.1 International regulatory framework and promotion of safe and trustworthy AI usage – key drivers       11.4.6 REST OF ASIA PACIFIC       11.5 MIDDLE EAST & AFRICA           11.5.1 MIDDLE EAST & AFRICA: GENERATIVE AI CYBERSECURITY MARKET DRIVERS         11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK         11.5.3 SAUDI ARABIA           11.5.3.1 Evolving to support growth of generative AI and cybersecurity       11.5.4 UAE           11.5.4.1 Focus on establishment of cutting-edge AI and cybersecurity infrastructure       11.5.5 REST OF MIDDLE EAST         11.5.6 AFRICA           11.5.6.1 Development of new AI models and technologies tailored to unique cybersecurity challenges to drive market     11.6 LATIN AMERICA           11.6.1 LATIN AMERICA: GENERATIVE AI CYBERSECURITY MARKET DRIVERS         11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK         11.6.3 BRAZIL           11.6.3.1 Companies continue to invest in generative AI solutions and push boundaries of innovation       11.6.4 MEXICO           11.6.4.1 Government proactively addressing data privacy and security concerns       11.6.5 REST OF LATIN AMERICA     12 COMPETITIVE LANDSCAPE Uncover top players' strategies and market dominance in generative AI-based cybersecurity solutions.       390   12.1 OVERVIEW         12.2 KEY PLAYER STRATEGIES         12.3 REVENUE ANALYSIS           12.4 MARKET SHARE ANALYSIS             12.4.1 MARKET RANKING ANALYSIS       12.5 PRODUCT COMPARATIVE ANALYSIS           12.5.1 PRODUCT COMPARATIVE ANALYSIS: GENERATIVE AI-BASED CYBERSECURITY           12.5.1.1 Purple AI (SentinelOne)         12.5.1.2 Prevent (Darktrace)         12.5.1.3 ZDX Copilot (Zscaler)         12.5.1.4 FortiAI (Fortinet)         12.5.1.5 Precision AI (Palo Alto)       12.5.2 PRODUCT COMPARATIVE ANALYSIS: CYBERSECURITY FOR GENERATIVE AI           12.5.2.1 QRadar (IBM)         12.5.2.2 AI Runtime Security (Palo Alto)         12.5.2.3 Nitro Enclaves (AWS)         12.5.2.4 Zero Trust Exchange (Zscaler)         12.5.2.5 Nemo LLM Guardrails (NVIDIA)     12.6 COMPANY VALUATION AND FINANCIAL METRICS         12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024             12.7.1 KEY PLAYERS OFFERING GENERATIVE AI-BASED CYBERSECURITY         12.7.2 STARS         12.7.3 EMERGING LEADERS         12.7.4 PERVASIVE PLAYERS         12.7.5 PARTICIPANTS         12.7.6 COMPANY FOOTPRINT: KEY PLAYERS, 2024           12.7.6.1 Company Footprint         12.7.6.2 Region Footprint         12.7.6.3 Offering footprint         12.7.6.4 Security type footprint         12.7.6.5 End user footprint       12.7.7 KEY PLAYERS OFFERING CYBERSECURITY SOLUTIONS FOR GENERATIVE AI         12.7.8 STARS         12.7.9 EMERGING LEADERS         12.7.10 PERVASIVE PLAYERS         12.7.11 PARTICIPANTS         12.7.12 COMPANY FOOTPRINT: KEY PLAYERS, 2024           12.7.12.1 Company Footprint         12.7.12.2 Regional footprint         12.7.12.3 Offering footprint         12.7.12.4 Security type footprint         12.7.12.5 End user footprint     12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024             12.8.1 STARTUPS/SMES OFFERING GENERATIVE AI-BASED CYBERSECURITY           12.8.1.1 Progressive companies         12.8.1.2 Responsive companies         12.8.1.3 Dynamic companies         12.8.1.4 Starting blocks       12.8.2 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024           12.8.2.1 Detailed List of Key Startups/SMEs         12.8.2.2 Competitive Benchmarking of Key Startups/SMEs       12.8.3 STARTUPS/SMES OFFERING CYBERSECURITY SOLUTIONS FOR GENERATIVE AI           12.8.3.1 Progressive companies         12.8.3.2 Responsive companies         12.8.3.3 Dynamic companies         12.8.3.4 Starting blocks       12.8.4 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024           12.8.4.1 Detailed List of Key Startups/SMEs         12.8.4.2 Competitive Benchmarking of Key Startups/SMEs     12.9 COMPETITIVE SCENARIO AND TRENDS           12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS         12.9.2 DEALS     13 COMPANY PROFILES In-depth Company Profiles of Leading Market Players with detailed Business Overview, Product and Service Portfolio, Recent Developments, and Unique Analyst Perspective (MnM View)       426   13.1 INTRODUCTION         13.2 GENERATIVE AI-BASED CYBERSECURITY SOLUTION PROVIDERS           13.2.1 MICROSOFT           13.2.1.1 Business overview         13.2.1.2 Products/Solutions/Services offered         13.2.1.3 Recent developments         13.2.1.4 MnM view       13.2.2 IBM         13.2.3 GOOGLE         13.2.4 SENTINELONE         13.2.5 NVIDIA         13.2.6 NEURALTRUST         13.2.7 TREND MICRO         13.2.8 BLACKBERRY         13.2.9 OKTA         13.2.10 SANGFOR TECHNOLOGIES         13.2.11 VERACODE         13.2.12 LEXISNEXIS         13.2.13 SECURITYSCORECARD         13.2.14 BROADCOM         13.2.15 COHESITY         13.2.16 ELASTIC NV         13.2.17 CYBEREASON         13.2.18 FLASHPOINT         13.2.19 MOSTLY AI         13.2.20 RECORDED FUTURE         13.2.21 SECUREFRAME         13.2.22 SLASHNEXT         13.2.23 VIRUSTOTAL         13.2.24 XENONSTACK         13.2.25 ZEROFOX       13.3 PROVIDERS OF CYBERSECURITY SOLUTIONS FOR GENERATIVE AI           13.3.1 AWS         13.3.2 CISCO         13.3.3 CROWDSTRIKE         13.3.4 FORTINET         13.3.5 ZSCALER         13.3.6 PALO ALTO NETWORKS         13.3.7 DARKTRACE         13.3.8 F5         13.3.9 SOPHOS         13.3.10 TRELLIX         13.3.11 TENABLE         13.3.12 SNYK         13.3.13 ABNORMAL SECURITY         13.3.14 ADVERSA AI         13.3.15 AQUA SECURITY         13.3.16 BIGID         13.3.17 CHECKMARX         13.3.18 CREDO AI         13.3.19 DEEPKEEP         13.3.20 LAKERA         13.3.21 SKYFLOW         13.3.22 TROJAI     14 ADJACENT AND RELATED MARKETS       484   14.1 INTRODUCTION         14.2 GENERATIVE AI MARKET – GLOBAL FORECAST TO 2032           14.2.1 MARKET DEFINITION         14.2.2 MARKET OVERVIEW           14.2.2.1 Generative AI market, by offering         14.2.2.2 Generative AI market, by data modality         14.2.2.3 Generative AI market, by application         14.2.2.4 Generative AI market, by end user         14.2.2.5 Generative AI market, by region     14.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET – GLOBAL FORECAST TO 2028           14.3.1 MARKET DEFINITION         14.3.2 MARKET OVERVIEW           14.3.2.1 Artificial intelligence in cybersecurity market, by offering         14.3.2.2 Artificial intelligence in cybersecurity market, by security type         14.3.2.3 Artificial intelligence in cybersecurity market, by technology         14.3.2.4 Artificial intelligence in cybersecurity market, by application         14.3.2.5 Artificial intelligence in cybersecurity market, by vertical         14.3.2.6 Artificial intelligence in cybersecurity market, by region   15 APPENDIX       498   15.1 DISCUSSION GUIDE         15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL         15.3 CUSTOMIZATION OPTIONS         15.4 RELATED REPORTS         15.5 AUTHOR DETAILS       LIST OF TABLES           TABLE 1 USD DOLLAR EXCHANGE RATE, 2020–2024         TABLE 2 FACTOR ANALYSIS         TABLE 3 GLOBAL GENERATIVE AI CYBERSECURITY MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %)         TABLE 4 GLOBAL GENERATIVE AI CYBERSECURITY MARKET SIZE AND GROWTH RATE, 2025–2031 (USD MILLION, Y-O-Y %)         TABLE 5 GENERATIVE AI CYBERSECURITY MARKET: ECOSYSTEM         TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         TABLE 9 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         TABLE 10 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         TABLE 11 PATENTS FILED, 2019–2025         TABLE 12 GENERATIVE AI CYBERSECURITY MARKET: KEY PATENTS, 2024–2025         TABLE 13 AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING, 2025         TABLE 14 AVERAGE SELLING PRICE, BY SECURITY TYPE, 2025         TABLE 15 GENERATIVE AI CYBERSECURITY MARKET: KEY CONFERENCES & EVENTS, 2024–2025         TABLE 16 PORTERS’ FIVE FORCES’ IMPACT ON GENERATIVE AI CYBERSECURITY MARKET         TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE GENERATIVE AI-BASED CYBERSECURITY VERTICALS         TABLE 18 KEY BUYING CRITERIA FOR TOP THREE GENERATIVE AI-BASED CYBERSECURITY VERTICALS         TABLE 19 GENERATIVE AI CYBERSECURITY MARKET, BY OFFERING, 2020–2024 (USD MILLION)         TABLE 20 GENERATIVE AI CYBERSECURITY MARKET, BY OFFERING, 2025–2031 (USD MILLION)         TABLE 21 GENERATIVE AI CYBERSECURITY MARKET, SOFTWARE TYPE, 2020–2024 (USD MILLION)         TABLE 22 GENERATIVE AI CYBERSECURITY MARKET, BY SOFTWARE TYPE, 2025–2031 (USD MILLION)         TABLE 23 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 24 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 25 CYBERSECURITY SOFTWARE MARKET FOR GENERATIVE AI, BY REGION, 2020–2024 (USD MILLION)         TABLE 26 CYBERSECURITY SOFTWARE MARKET FOR GENERATIVE AI, BY REGION, 2025–2031 (USD MILLION)         TABLE 27 GENERATIVE AI CYBERSECURITY SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)         TABLE 28 GENERATIVE AI CYBERSECURITY SOFTWARE MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)         TABLE 29 CLOUD: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 30 CLOUD: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 31 ON-PREMISES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 32 ON-PREMISES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 33 GENERATIVE AI CYBERSECURITY MARKET, BY SERVICE, 2020–2024 (USD MILLION)         TABLE 34 GENERATIVE AI CYBERSECURITY MARKET, BY SERVICE, 2025–2031 (USD MILLION)         TABLE 35 GENERATIVE AI CYBERSECURITY MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)         TABLE 36 GENERATIVE AI CYBERSECURITY MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)         TABLE 37 TRAINING & CONSULTING: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 38 TRAINING & CONSULTING: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 39 SYSTEM INTEGRATION & IMPLEMENTATION: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 40 SYSTEM INTEGRATION & IMPLEMENTATION: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 41 SUPPORT & MAINTENANCE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 42 SUPPORT & MAINTENANCE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 43 MANAGED SERVICES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 44 MANAGED SERVICES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 45 CYBERSECURITY SOFTWARE MARKET FOR GENERATIVE AI, BY TYPE, 2020–2024 (USD MILLION)         TABLE 46 CYBERSECURITY SOFTWARE MARKET FOR GENERATIVE AI, BY TYPE, 2025–2031 (USD MILLION)         TABLE 47 GENERATIVE AI TRAINING DATA SECURITY SOFTWARE MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 48 GENERATIVE AI TRAINING DATA SECURITY SOFTWARE MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 49 GENERATIVE AI MODEL SECURITY SOFTWARE MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 50 GENERATIVE AI MODEL SECURITY SOFTWARE MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 51 GENERATIVE AI INFRASTRUCTURE SECURITY SOFTWARE MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 52 GENERATIVE AI INFRASTRUCTURE SECURITY SOFTWARE MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 53 GENERATIVE AI APPLICATION SECURITY SOFTWARE MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 54 GENERATIVE AI APPLICATION SECURITY SOFTWARE MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 55 GENERATIVE AI CYBERSECURITY MARKET, BY END USER, 2020–2024 (USD MILLION)         TABLE 56 GENERATIVE AI CYBERSECURITY MARKET, BY END USER, 2025–2031 (USD MILLION)         TABLE 57 END USERS: GENERATIVE AI-BASED CYBERSECURITY MARKET, BY VERTICAL, 2020–2024 (USD MILLION)         TABLE 58 END USERS: GENERATIVE-BASED AI CYBERSECURITY MARKET, BY VERTICAL, 2025–2031 (USD MILLION)         TABLE 59 GOVERNMENT & DEFENSE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 60 GOVERNMENT & DEFENSE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 61 BFSI: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 62 BFSI: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 63 IT & ITES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 64 IT & ITES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 65 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 66 HEALTHCARE & LIFE SCIENCES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 67 RETAIL & ECOMMERCE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 68 RETAIL & ECOMMERCE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 69 MANUFACTURING: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 70 MANUFACTURING: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 71 ENERGY & UTILITIES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 72 ENERGY & UTILITIES: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 73 TELECOMMUNICATIONS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 74 TELECOMMUNICATIONS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 75 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 76 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 77 MEDIA & ENTERTAINMENT: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 78 MEDIA & ENTERTAINMENT: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 79 OTHER END USERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 80 OTHER END USERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 81 END USERS: CYBERSECURITY FOR GENERATIVE AI MARKET, BY TYPE, 2020–2024 (USD MILLION)         TABLE 82 END USERS: CYBERSECURITY FOR GENERATIVE AI MARKET, BY TYPE, 2025–2031 (USD MILLION)         TABLE 83 CLOUD HYPERSCALERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 84 CLOUD HYPERSCALERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 85 MANAGED SECURITY SERVICE PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 86 MANAGED SECURITY SERVICE PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 87 GENERATIVE AI CYBERSECURITY MARKET, BY GENERATIVE AI PROVIDER, 2020–2024 (USD MILLION)         TABLE 88 GENERATIVE AI CYBERSECURITY MARKET, BY GENERATIVE AI PROVIDER, 2025–2031 (USD MILLION)         TABLE 89 FOUNDATION MODEL/LLM DEVELOPERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 90 FOUNDATION MODEL/LLM DEVELOPERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 91 DATA ANNOTATORS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 92 DATA ANNOTATORS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 93 CONTENT CREATION PLATFORM PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 94 CONTENT CREATION PLATFORM PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 95 GENERATIVE AI-AS-A-SERVICE PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 96 GENERATIVE AI-AS-A-SERVICE PROVIDERS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 97 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET, BY TYPE, 2020–2024 (USD MILLION)         TABLE 98 GENERATIVE AI-BASED CYBERSECURITY SOFTWARE MARKET, BY TYPE, 2025–2031 (USD MILLION)         TABLE 99 THREAT DETECTION & INTELLIGENCE SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 100 THREAT DETECTION & INTELLIGENCE SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 101 RISK ASSESSMENT SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 102 RISK ASSESSMENT SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 103 EXPOSURE MANAGEMENT SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 104 EXPOSURE MANAGEMENT SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 105 PHISHING SIMULATION & PREVENTION SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 106 PHISHING SIMULATION & PREVENTION SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 107 REMEDIATION GUIDANCE SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 108 REMEDIATION GUIDANCE SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 109 THREAT HUNTING PLATFORMS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 110 THREAT HUNTING PLATFORMS: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 111 CODE ANALYSIS SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 112 CODE ANALYSIS SOFTWARE: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 113 GENERATIVE AI CYBERSECURITY MARKET, BY SECURITY TYPE, 2020–2024 (USD MILLION)         TABLE 114 GENERATIVE AI CYBERSECURITY MARKET, BY SECURITY TYPE, 2025–2031 (USD MILLION)         TABLE 115 GENERATIVE AI CYBERSECURITY MARKET, BY DATABASE SECURITY, 2020–2024 (USD MILLION)         TABLE 116 GENERATIVE AI CYBERSECURITY MARKET, BY DATABASE SECURITY, 2025–2031 (USD MILLION)         TABLE 117 DATA LOSS PREVENTION: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2020–2024 (USD MILLION)         TABLE 118 DATA LOSS PREVENTION: GENERATIVE AI CYBERSECURITY MARKET, BY REGION, 2025–2031 (USD MILLION)         TABLE 119 DATA USAGE MONITORING: GE