PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2037099
PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2037099
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.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2019-2032 |
| Base Year | 2025 |
| Forecast Period | 2026-2032 |
| Units Considered | Value (USD Billion) |
| Segments | Security Function, Offering, Deployment Layer, Organization Size, and Vertical |
| Regions covered | North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America |
The growing use of third-party AI tools and plugins is increasing the need for secure integration across agentic AI environments. These components often interact with core systems and data, creating potential entry points for threats. Organizations are investing in security measures to validate, monitor, and control these integrations to prevent misuse, data exposure, and unauthorized agent actions.

"By vertical, the BFSI segment is projected to hold the largest market share in 2026."
The BFSI vertical is expected to hold the largest share in the agentic AI security market due to the early and extensive adoption of AI-driven systems in financial operations. Banks and financial institutions are increasingly deploying autonomous agents for fraud detection, risk assessment, trading, and customer interactions. This high level of automation, combined with the sensitivity of financial data and strict regulatory requirements, makes cybersecurity a critical priority. Agentic AI introduces new risks, including unauthorized transactions, model manipulation, and data exposure, driving strong demand for advanced security solutions. As a result, BFSI organizations continue to invest heavily in securing AI agents, data flows, and decision-making processes, making it the largest segment in the market.
"By security function, the AI governance & risk platforms segment is expected to witness the highest CAGR during the forecast period."
AI governance & risk platforms are expected to experience the fastest growth in the agentic AI security market as organizations prioritize control, accountability, and compliance across autonomous systems. In agentic environments, AI agents operate with high levels of autonomy and make continuous decisions, making transparency, policy enforcement, and risk mitigation critical. These platforms enable organizations to monitor AI behavior, enforce guardrails, manage model risk, and ensure alignment with regulatory and ethical standards.
As enterprises scale the deployment of multi-agent systems, the need for centralized governance frameworks increases to manage issues such as decision drift, unauthorized actions, and data misuse. AI governance & risk platforms support auditability, real-time policy validation, and lifecycle risk management across AI pipelines and agent workflows. This growing reliance on structured governance and risk controls is a key factor driving rapid adoption and growth in this segment.
Breakdown of Primaries
Major vendors in the agentic AI security market include Microsoft (US), Palo Alto Networks (US), CrowdStrike (US), Straiker (US), 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), Trufoundry (US), Descope (US), Zenity (Israel), Fiddler AI (US), Openlayer (US), Aembit (US), Lasso Security (Israel), Akto (US), Credo AI (US), Promptfoo (US), Strata Identity (US), Holistic AI (UK), Geordie AI (UK), NeuralTrust (Spain), and Usercentrics (Germany).
The study includes an in-depth competitive analysis of the key players in the agentic AI security market, their company profiles, recent developments, and key market strategies.
Research Coverage
The report segments the agentic AI security market and forecasts its size based on Security Function (Identity & Access Security, AI Governance & Risk Platforms, Threat Detection & Response, Data Security & Privacy, Vulnerability Assessment & Remediation, Security Orchestration, Automation & Response (SOAR), Security Posture Management (SPM), Deception Technology), Offering (Solutions (Software Platforms, Tools & Point Solutions [Prompt Security Tools, Guardrail Frameworks, AI Pen Testing & Red Teaming Tools]), Services (Managed Security Services [Managed AI Security Operations (AI SOC), Other Managed Security Services], Professional & Integration Services, Training & Certification Services)), Level of Autonomy (Semi-autonomous Systems (Human-in-the-Loop), Fully Autonomous Security Agents), Deployment Layer (Model Layer, Agent/Orchestration Layer, Application Layer, Data Layer, Infrastructure Layer, Integration Layer), Organization Size (Large Enterprises, SMEs), Vertical (BFSI, Healthcare & Life Sciences, Government, Defense, IT & ITES, Telecommunications, Retail & eCommerce, Energy & Utilities, Manufacturing, Other Verticals), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The study also includes an in-depth competitive analysis of the market's key players, including their company profiles, key observations on product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help market leaders/new entrants by providing the closest approximations of revenue numbers for the overall agentic AI Security market and its subsegments. This report will help stakeholders understand the competitive landscape and gain valuable insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.