Generative Artificial Intelligence In Security Market Report 2026

Generative Artificial Intelligence In Security Market Overview

• Generative Artificial Intelligence In Security market size has reached to $0.97 billion in 2025 • Expected to grow to $2.46 billion in 2030 at a compound annual growth rate (CAGR) of 20.5% • Growth Driver: cybersecurity Threats Propel Growth Of The Generative Artificial Intelligence In The Security Market • Market Trend: Advanced Generative AI Innovations Boost Security For Chat Platforms • North America was the largest region in 2025.

What Is Covered Under Generative Artificial Intelligence In Security Market?

Generative artificial intelligence (AI) in security refers to the use of AI models that create or simulate data, patterns, or scenarios to enhance security measures. This technology is applied in areas such as threat detection, anomaly identification, and the generation of synthetic data for training security systems, helping to predict, prevent, and respond to cybersecurity threats more effectively. The main types of generative artificial intelligence in security are network security, application security, cloud security, and others. Network security in generative artificial intelligence focuses on using AI to detect, prevent, and respond to threats and vulnerabilities in network systems by analyzing patterns and anomalies to enhance overall cybersecurity. It offers various services, including professional and managed services, and is deployed through cloud-based or on-premises solutions, serving end users across industries such as retail, banking, financial services and insurance, manufacturing, healthcare, and others.

What Is The Generative Artificial Intelligence In Security Market Growth Forecast?

The generative artificial intelligence in security market size is expected to see exponential growth in the next few years. It will grow to $2.46 billion in 2030 at a compound annual growth rate (CAGR) of 20.5%. The growth in the forecast period can be attributed to advancements in generative AI algorithms, integration of AI with cloud and iot security, growth in managed security services, adoption of predictive analytics for threat prevention, expansion of AI-driven endpoint and identity management solutions. Major trends in the forecast period include AI-based threat detection and prevention, generative AI for anomaly identification, synthetic data generation for security training, predictive security analytics, automated incident response solutions.

What Is The Driver Of The Generative Artificial Intelligence In Security Market?

Increasing cybersecurity threats are expected to propel the growth of generative artificial intelligence in security market going forward. Cybersecurity threats are malicious activities targeting digital systems to steal, damage, or disrupt data and operations. They include hacking, malware, phishing, and ransomware attacks. Cybersecurity threats often arise due to vulnerabilities in systems, human error, and increasingly sophisticated attacks by malicious actors exploiting weaknesses for financial gain, data theft, or disruption. Generative artificial intelligence in security helps to combat cybersecurity threats by generating advanced models for threat detection, simulating potential attack scenarios, and improving response strategies, thereby strengthening overall security measures. For instance, in December 2024, according to the Internet Crime Complaint Center, a US-based government agency, in 2024, and ransomware was again the most pervasive threat to critical infrastructure, with complaints rising 9% from 2023, and in 2024, complaints totaled 859,532, with losses of $16.6 billion, representing a 33 percent increase from 2023. Therefore, increasing cybersecurity threats are driving the growth of generative artificial intelligence in security industry.

Key Players In The Global Generative Artificial Intelligence In Security Market

Major companies operating in the generative artificial intelligence in security market are Intel Corporation, International Business Machines Corporation (IBM), Nvidia Corporation, Palo Alto Networks, Fortinet Inc., CrowdStrike Holdings Inc., Elasticsearch B.V., AO Kaspersky Lab, Forcepoint, Arctic Wolf, Darktrace Holdings Limited, BeyondTrust Corporation, Sumo Logic, SentinelOne, Cybereason, LogRhythm, ExtraHop Networks, Securonix Inc., Vectra AI, Aqua Security, Menlo Security Inc., SparkCognition Inc., Deep Instinct Ltd, Acalvio Technologies

Global Generative Artificial Intelligence In Security Market Trends and Insights

Major companies operating in generative artificial intelligence in security market are focusing on developing innovative products, such as next-generation scanners, to provide enterprises with customizable AI-powered security solutions that enhance control and efficiency. Next-generation scanners are advanced imaging devices that utilize cutting-edge technology to deliver higher resolution, faster processing, and more accurate data capture compared to their predecessors. For instance, in May 2024, CalypsoAI Corp., a US-based artificial intelligence (AI) security company, launched Customizable Generative Artificial Intelligence Security Scanners for enterprises. These scanners allow organizations to design their own AI-powered scanners, set detailed policies, block or redact content, and create new categories based on proprietary data. Additionally, enhanced security functionalities for chatbots on platforms such as Slack and Microsoft Teams integrate seamlessly with existing workflows, supporting various AI models and improving secure document handling and query support.

What Are Latest Mergers And Acquisitions In The Generative Artificial Intelligence In Security Market?

In July 2023, Cisco Systems Inc., a US-based technology company, acquired Armorblox Inc. for an undisclosed amount. The acquisition aims to strengthen Cisco's security capabilities by incorporating Armorblox's advanced use of large language models (LLMs) and natural language understanding, enhancing attack prediction, threat detection, and policy enforcement, and ultimately revolutionizing the security experience across Cisco's portfolio. Armorblox Inc. is a US-based system software company providing generative artificial intelligence in security solutions.

What Defines the Generative Artificial Intelligence In Security Market?

The generative artificial intelligence in security market consists of revenues earned by providing services such as surveillance and monitoring, threat detection and prevention, forensic analysis, and virtual assistants. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Generative Artificial Intelligence In Security Market Report 2026?

The generative artificial intelligence in security market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in security industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.