2 Sources
[1]
AI security market to hit $4.8 billion in 2027, grow 68.7%: Report
The AI security market is projected to reach nearly $4.8 billion by 2027. This sector is set for rapid growth as enterprises increase investments in AI technology. New vulnerabilities are emerging from AI models and supply-chain attacks, requiring specialised tools. AI application security and
[2]
Gartner Forecasts Securing AI Market to Hit $4.8 Billion by 2027
AI Application Security to Remain the Largest AI Security Spending Category in 2027 The market for securing AI is growing rapidly, projected to reach almost $4.8 billion in 2027, a 68.7% increase over 2026, according to Gartner, Inc., a business and technology insights company. By 2028, the market
Share
Copy Link
Gartner projects the AI security market will hit $4.8 billion by 2027, marking 68.7% growth as enterprises face mounting cyber threats. AI application security and AI usage control segments lead spending, while prompt injections and access control weaknesses emerge as critical vulnerabilities requiring specialized protection tools.
The AI security market is on track to reach nearly $4.8 billion by 2027, representing a sharp 68.7% increase over 2026, according to research firm Gartner
1
2
. By 2028, the market is forecast to nearly double again, reaching $7.7 billion. This rapid expansion reflects the urgent pressure on enterprises to secure their AI initiatives as they confront a new generation of cyber threats specifically targeting artificial intelligence systems.
Source: CXOToday
"This surge is driven by the urgent need for enterprises to secure AI systems, address emerging vulnerabilities and strengthen defenses against sophisticated cyberthreats," said Shailendra Upadhyay, Senior Principal Analyst at Gartner
1
. The growing adoption of AI is creating fresh vulnerabilities for businesses, including risks linked to AI models, third-party software, open-source components, and supply-chain attacks that conventional security infrastructure struggles to address.Gartner predicts that over half of successful cyberattacks targeting AI agents by 2029 will exploit access control weaknesses and prompt injections
1
2
. These AI-specific attack vectors represent a fundamental shift in the threat landscape, pushing companies to deploy specialized AI security tools alongside their existing cybersecurity infrastructure. Without adequate security and visibility controls, enterprise investments in AI initiatives face a high risk of failure.Traditional security tools often treat AI applications like any other software and require significant updates to address AI-specific threats, according to Upadhyay
1
. The deployment of autonomous AI systems introduces vulnerabilities that conventional security monitoring may not detect, creating an urgent need for organizations to identify, monitor, and protect AI models from unique threats that didn't exist in traditional software environments.The AI security market divides into four main segments: AI application security, AI usage control, AI governance platforms, and AI gateways
1
2
. AI application security is expected to remain the largest spending category in 2027, reaching nearly $851 million, followed by AI usage control at $749 million. However, AI usage control is forecast to be the fastest-growing segment, expanding 73%, while spending on AI gateways is expected to grow 70.9%.These specialized solutions address challenges that traditional security systems cannot handle effectively. As defenses like AI runtime protection and dedicated gateways become more reliable, organizations will gain confidence in these tools, accelerating adoption across enterprises. The need for specialized AI security tools will intensify as businesses expand their AI initiatives and face vulnerabilities in AI models that extend beyond the reach of traditional monitoring systems.
Related Stories
Competition in the AI security market varies significantly by segment. For AI governance platforms and AI gateways, which often build on existing enterprise systems for governance, data, and API management, established vendors are likely to maintain their lead by adding AI capabilities to existing products
1
2
. Meanwhile, AI application security and AI usage control segments are attracting a growing wave of startups entering the field with innovative approaches.The rapid expansion of the market could trigger significant consolidation, with larger cybersecurity companies likely to acquire startups to expand their AI security offerings, Gartner noted
1
. This intensifying competition among vendors as they vie for market share will reshape the landscape as enterprises race to protect their AI investments from increasingly sophisticated cyber threats. Watch for major acquisitions in the coming months as established players move to capture market position before the sector matures.Summarized by
Navi
25 Sept 2024

17 Sept 2026•Business and Economy

14 Aug 2026•Technology

1
Technology

2
Technology

3
Science and Research
