--- url: "https://xcademia.com/news/gartner-forecasts-ai-security-market-to-reach-4-8-billion-in-2027" title: Gartner Forecasts AI Security Market to Reach $4.8 Billion in 2027 description: "Gartner forecasts the AI security market will reach $4.8B in 2027 as enterprises invest in AI application security, usage controls and governance." publishedAt: "2026-08-26T09:04:10.529+00:00" updatedAt: "2026-08-26T09:04:29.374106+00:00" type: news category: cybersecurity source_name: Gartner source_url: "https://www.gartner.com/en/newsroom/press-releases/2026-08-26-gartner-forecasts-the-market-for-securing-ai-will-reach-almost-5-billion-in-2027" tags: - "#AISecurity" - "#Cybersecurity" - "#ArtificialIntelligence" - "#AIAgents" - "#AIRegulation" - "#CloudSecurity" - "#CyberRisk" --- # Gartner Forecasts AI Security Market to Reach $4.8 Billion in 2027 > Gartner forecasts the market for securing AI will reach $4.8 billion in 2027, up 68.7% from 2026, as enterprises invest in AI application security, usage controls, governance and gateways. Source: **Gartner** · 26 August 2026 The market for securing artificial intelligence systems is entering a period of rapid expansion as enterprises face new security risks associated with AI applications, agents and increasingly autonomous workloads. According to Gartner, the global market for securing AI is forecast to reach **almost $4.8 billion in 2027**, representing a **68.7% increase from 2026**. Gartner expects the market to grow further to **almost $7.7 billion by 2028**. The research firm attributes the growth to the need for enterprises to secure AI systems, address emerging vulnerabilities and strengthen defenses against sophisticated cyberthreats. Gartner also points to vulnerabilities and supply chain attacks involving third-party and open-source software used in AI projects as factors increasing the need for stronger security and visibility controls. **"This surge is driven by the urgent need for enterprises to secure AI systems, address emerging vulnerabilities and strengthen defenses against sophisticated cyberthreats." ## AI Security Market Forecast Reaches $4.8 Billion Gartner's forecast places securing AI among the rapidly expanding areas of enterprise cybersecurity spending.The market is projected to increase from $2.835 billion in 2026 to $4.783 billion in 2027**, according to Gartner's segment forecast. That represents a **68.7% year-over-year increase**. Gartner expects the market to reach almost **$7.7 billion in 2028**, although the announcement does not provide a segment-level breakdown for that year. The forecast reflects growing demand for technologies designed specifically to address risks associated with AI systems. For organizations deploying AI at scale, the security challenge increasingly extends beyond protecting conventional applications and infrastructure. AI systems can introduce additional considerations around model access, application behavior, AI usage, governance and interactions with external systems. ![info-1](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1787734711041-info-1--1-.webp) ## Four Areas Define the Securing AI Market Gartner divides the securing AI market into four primary areas: 1. **AI application security** 2. **AI usage control** 3. **AI governance platforms** 4. **AI gateways** The research also includes an **Other Securing AI** category in its market forecast. These segments cover different aspects of protecting organizations as AI becomes integrated into enterprise applications and workflows. AI application security focuses on protecting AI-powered applications. AI usage control addresses how organizations manage and control the use of AI. AI governance platforms cover governance-related requirements around enterprise AI adoption. AI gateways represent another layer for managing and securing interactions involving AI systems. Gartner's broader forecast indicates that organizations are increasingly looking toward specialized technologies alongside their existing security infrastructure. ## AI Application Security Remains the Largest Spending Segment Gartner forecasts **AI application security** to remain the largest spending category in 2027. Spending in the segment is expected to reach approximately **$851 million**, compared with **$508 million in 2026**. That represents **67.5% growth** during the period. AI usage control is forecast to become the second-largest segment, reaching approximately **$749 million in 2027**, up from **$433 million in 2026**. The AI usage control segment is also expected to record the highest growth rate among the four named categories, at **73%**. AI governance platforms are forecast to reach **$462 million**, compared with **$275 million in 2026**, representing **68% growth**. AI gateways are expected to increase from **$251 million in 2026 to $429 million in 2027**, representing **70.9% growth**. ## Gartner's 2026-2027 Securing AI Forecast Segment 2026 Spending 2026 Growth 2027 Spending 2027 Growth AI Application Security $508M 82.1% $851M 67.5% AI Usage Control $433M 86.6% $749M 73.0% AI Governance Platforms $275M 77.4% $462M 68.0% AI Gateway $251M 80.6% $429M 70.9% Other Securing AI $1.368B 83.9% $2.292B 67.5% **Total** **$2.835B** **83.0%** **$4.783B** **68.7%** ## AI Usage Control Shows the Fastest Growth Among the four named market segments, **AI usage control is forecast to grow the fastest in 2027**, with Gartner projecting a **73% increase**. AI gateways follow with projected growth of **70.9%**. AI governance platforms are forecast to grow by **68%**, while AI application security is projected to increase by **67.5%**. The numbers indicate that demand is expanding across multiple layers of AI security rather than being concentrated in a single technology category. Gartner's forecast also includes the broader "Other Securing AI" category, which is expected to represent the largest dollar amount in the table at **$2.292 billion in 2027**. ## Traditional Security Tools Face AI-Specific Challenges Gartner argues that traditional security tools may not be sufficient on their own for emerging AI-specific threats. According to Gartner Senior Principal Analyst Shailendra Upadhyay, traditional security products often treat AI applications similarly to other software and require significant updates to address AI-specific threats. Gartner expects specialized solutions, including AI usage control and application security technologies, to experience rapid growth. The distinction is important because AI introduces security considerations that may not map neatly onto conventional application security models. Organizations may need to understand not only whether an application is secure, but also how AI components within that application behave, what information they can access and how their use is governed. For enterprises, this could mean combining established security controls with specialized technologies designed around AI-specific risks. ![info-2](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1787734738577-info-2--83-.webp) ## AI Agents Add a New Security Concern AI agents are becoming an increasingly important part of the security discussion. Gartner predicts that **more than half of successful cyberattacks on AI agents are expected to exploit access control weaknesses and prompt injections by 2029**. The forecast highlights two areas that organizations will need to consider as agent-based systems become more widely adopted. **The first is access control.** AI agents may interact with systems and resources on behalf of users or applications. How those permissions are granted and constrained can therefore become an important security consideration. **The second is prompt injection.** Prompt injection represents a class of attacks that attempts to influence an AI system through instructions or manipulated input. Gartner's forecast indicates that these issues are expected to account for a significant share of successful attacks against AI agents by 2029. The announcement does not provide further details about the methodology or individual attack scenarios behind this forecast. ## Visibility Becomes More Important as AI Adoption Expands Gartner also emphasizes the need for organizations to identify, monitor and protect AI models against emerging threats. This points to a broader operational challenge. As businesses deploy more AI systems, security teams may need visibility into where AI is being used, how those systems interact with enterprise resources and what controls govern their operation. This becomes particularly relevant for organizations operating multiple AI applications, models, agents and third-party components. AI security therefore increasingly intersects with existing areas such as identity, application security, governance and monitoring. The announcement does not provide a specific architecture that enterprises should adopt. However, Gartner recommends combining existing security systems with specialized AI security tools to build a stronger defense. ## AI Supply Chain Risks Are Also Increasing AI projects often depend on third-party and open-source software. Gartner identifies vulnerabilities and supply chain attacks involving these components as another factor contributing to the growing need for AI security. The issue extends the traditional software supply chain discussion into AI environments. Organizations may need to consider the security of the components that support their AI applications in addition to the security of the AI applications themselves. This can include understanding dependencies, maintaining visibility and applying appropriate security controls throughout the AI technology stack. Gartner's announcement does not provide a specific list of products, open-source projects or vulnerabilities driving this trend. Additional details were not disclosed in the announcement. ## AI Runtime Protection and Gateways Could Accelerate Adoption Gartner expects defenses such as **AI runtime protection and dedicated gateways** to become more reliable, potentially increasing organizational confidence in these technologies. According to Gartner, this could accelerate adoption as enterprises expand their AI initiatives. The research firm also expects demand for specialized AI security solutions to grow as autonomous AI introduces vulnerabilities that may not be adequately addressed by traditional monitoring. This reflects an important distinction between securing AI as an application and securing AI as an operational system. As AI systems become more capable of interacting with data, applications and external services, security controls may need to account for activity occurring during AI runtime. ![info-3](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1787734759344-info-3--77-.webp) ## Market Competition Is Increasing Gartner expects competition across the securing AI market to vary by segment. For **AI governance platforms and AI gateways**, Gartner says major vendors are likely to maintain their positions by adding AI capabilities to existing enterprise systems or integrating specialized products. The situation is different in **AI application security and AI usage control**, where Gartner says a wave of startups is entering the market. This creates a competitive environment involving both established technology companies and newer specialized vendors. Gartner also expects increased consolidation and acquisitions as larger cybersecurity companies look to broaden their offerings. However, the announcement does not identify specific future acquisitions or provide a list of companies expected to participate in consolidation. ## Why the AI Security Market Is Expanding The growth forecast reflects several overlapping developments in enterprise AI. Organizations are deploying AI applications across business processes while also experimenting with increasingly autonomous systems. At the same time, security teams need to account for AI-specific risks involving applications, usage, governance, gateways, access controls and prompt injection. This creates demand for security technologies that can work alongside existing enterprise defenses. The growth of the market also suggests that AI security is increasingly being treated as its own technology category rather than simply an extension of traditional cybersecurity. ### What Gartner's Forecast Highlights AI application security remains the largest named spending segment. AI usage control is projected to have the highest growth rate among the four named segments. AI gateways are also forecast to grow rapidly. AI governance remains an important component of enterprise AI adoption. AI agents introduce additional concerns around access control and prompt injection. AI supply chains create another layer of security exposure through third-party and open-source components. ## What This Means for Enterprises Gartner's forecast highlights a broader industry shift toward treating AI security as a dedicated enterprise discipline. For organizations deploying AI, this could mean evaluating security controls across multiple layers instead of relying exclusively on conventional application security. That can include examining how AI applications are protected, how AI usage is controlled, how governance is implemented and how interactions with AI systems are secured. For security leaders, AI adoption may therefore require closer coordination between cybersecurity, application teams, data teams and governance functions. The development reflects growing demand for security approaches that account for the specific ways AI systems operate. This is an industry implication of Gartner's research, rather than a Gartner prediction about how every enterprise will implement AI security. ## The Bigger Question: Can Security Keep Pace With AI Adoption? Gartner's forecast raises a broader question for the cybersecurity industry: **can security controls evolve as quickly as enterprise AI capabilities?** The projected growth in AI security spending suggests organizations are preparing to invest significantly in this area. But spending alone does not guarantee that AI systems will be secure. Effective security will depend on how organizations deploy these technologies, integrate them with existing controls and manage risks throughout the AI lifecycle. The forecast also indicates that AI security is likely to become increasingly specialized as enterprises move from experimentation toward broader deployment. For organizations, the key challenge will be balancing AI adoption with appropriate controls for access, usage, monitoring, governance and runtime activity. ## Key Facts at a Glance **Item** **What Gartner Says** **2026 securing AI market** $2.835 billion **2027 securing AI market** $4.783 billion **2026-2027 growth** 68.7% **2028 forecast** Almost $7.7 billion **Largest named 2027 segment** AI Application Security at $851 million **Fastest-growing named segment** AI Usage Control at 73% **AI Gateway growth** 70.9% **AI Governance Platforms growth** 68% **AI agents forecast** More than half of successful attacks expected to exploit access control weaknesses and prompt injections by 2029 **Primary market areas** AI application security, AI usage control, AI governance platforms and AI gateways **Source** Gartner, August 2026 ## Conclusion Gartner forecasts the market for securing AI will reach **almost $4.8 billion in 2027**, up **68.7% from 2026**, as enterprises respond to emerging risks associated with AI applications, agents and increasingly complex AI environments. AI application security is expected to remain the largest named spending category, while AI usage control is forecast to experience the fastest growth among the four primary segments identified by Gartner. The research also highlights growing concerns around AI agents, particularly access control weaknesses and prompt injection, as well as vulnerabilities and supply chain attacks involving third-party and open-source software. The broader message is that securing AI is becoming a distinct enterprise priority. As organizations expand their use of AI, security considerations are increasingly extending beyond the underlying model to include applications, permissions, usage, gateways, runtime activity, governance and monitoring. Gartner's forecast does not suggest that specialized AI security tools will replace traditional cybersecurity controls. Instead, the research points toward a combination of existing security systems and specialized AI security technologies. For the cybersecurity industry, the projected market growth signals that **AI security is moving from an emerging concern toward a significant area of enterprise technology investment**. ## Original source https://www.gartner.com/en/newsroom/press-releases/2026-08-26-gartner-forecasts-the-market-for-securing-ai-will-reach-almost-5-billion-in-2027 ## Tags `#AISecurity` · `#Cybersecurity` · `#ArtificialIntelligence` · `#AIAgents` · `#AIRegulation` · `#CloudSecurity` · `#CyberRisk` --- ## About this content This Markdown news article is the citation-grade twin of [Gartner Forecasts AI Security Market to Reach $4.8 Billion in 2027](https://xcademia.com/news/gartner-forecasts-ai-security-market-to-reach-4-8-billion-in-2027). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite. When citing or quoting, please attribute *Xcademia* and link back to the source URL above. - Source: https://xcademia.com/news/gartner-forecasts-ai-security-market-to-reach-4-8-billion-in-2027 - Publisher: Xcademia — https://xcademia.com - Catalogue index: https://xcademia.com/llms-full.txt