Rising cyber threats targeting AI training and inference environments are driving demand for specialized cybersecurity solutions.
According to a research by MarketsandMarkets, the agentic AI security market is projected to grow from USD 1.65 billion in 2026 to USD 13.52 billion by 2032, at a CAGR of 42.0% during the forecast period.
The report indicates that attackers are increasingly exploiting vulnerabilities in datasets, models, and runtime processes through data poisoning, model manipulation, and inference attacks.
As enterprises rely more on AI-driven decisions, securing these environments becomes critical to ensure accuracy, integrity, and resilience.
Key Players in Agentic AI Security Market
- Microsoft(US),
- Palo Alto Networks(US),
- CrowdStrike(US),
- Straiker, SentinelOne (US),
- Okta (US),
- Cloudflare (US),
- Cato Networks (Israel),
- Check Point Software Technologies (Israel),
- Securiti (US),
- HiddenLayer (US),
- Noma Security (Israel),
- Obsidian Security (US),
- Mindgard (UK),
- DeepKeep (Israel),
- Enkrypt AI (US),
- Pillar Security (US),
- Astrix Security (Israel),
- Natoma (US)
By organization size, the SMEs segment is expected to register the highest CAGR during the forecast period.
SMEs are expected to witness the fastest growth in the agentic AI security market as they increasingly adopt AI-driven tools and autonomous systems to improve operational efficiency and decision-making.
Unlike large enterprises, SMEs are often moving directly toward AI-native applications, including agent-based automation across customer service, marketing, and operations.
This rapid adoption is exposing them to new security risks, including unauthorized agent actions, data leakage, and vulnerabilities in AI models.
At the same time, SMEs typically have limited in-house cybersecurity expertise and resources, making them more reliant on external solutions.
This is driving strong demand for managed security services, AI-native security platforms, and easy-to-deploy tools that can provide protection without requiring deep technical expertise.
As awareness of AI-related risks continues to grow and more SMEs integrate autonomous systems into their workflows, their spending on agentic AI security is expected to increase at a faster pace compared to large enterprises, making this segment the fastest-growing in the market.
By deployment mode, the infrastructure layer segment is estimated to lead the market during the forecast period.
The infrastructure layer segment is expected to hold the largest share of the agentic AI security market, as it represents the foundational environment in which AI models, agents, and applications are developed, deployed, and executed.
Enterprises continue to rely heavily on cloud platforms, data centers, and high-performance computing environments to run agentic AI systems at scale. As a result, securing this layer becomes a priority, since any vulnerability at the infrastructure level can impact the entire AI stack.
Organizations are investing in securing compute resources, containerized environments, and cloud-native architectures to ensure safe deployment of AI workloads.
Additionally, the growing adoption of hybrid and multi-cloud environments further increases the need for consistent infrastructure-level security controls.
This includes runtime protection, workload isolation, and continuous monitoring of infrastructure behavior.
Since all higher layers, including models and agents, depend on this foundation, spending at the infrastructure level remains significant, making it the largest segment in the market.
By region, the Asia Pacific is expected to register the highest CAGR during the forecast period.
Asia Pacific is emerging as a high-growth region in the agentic AI security market, driven by the rapid adoption of AI technologies and increasing exposure to AI-enabled cyber threats.
According to IBM, Asia Pacific recorded the highest average cost of data breaches in several countries, reflecting growing security challenges in digital environments.
AI-driven attacks are also rising across the region, particularly in sectors such as BFSI, telecom, and manufacturing, where automation and AI adoption are accelerating.
According to Check Point Software Technologies, organizations in Asia experience a high volume of weekly cyberattacks, many of which are increasingly leveraging AI-based techniques.
