기업 AI 에이전트 안전 플랫폼 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the enterprise AI agent safety platforms market size is projected to expand from USD 1.35 billion in 2025 to USD 1.68 billion in 2026, and to USD 4.57 billion by 2031, registering a CAGR of 22.16% between 2026 and 2031.

Global Enterprise AI Agent Safety Platforms Market Trends and Insights

Enterprise Deployment of Autonomous Workflow Agents

Enterprise adoption of autonomous workflow agents is expanding the scope of security in the Enterprise AI Agent Safety Platforms Market. Agents combine tool use, memory, and multistep reasoning in workflows that can span several systems. A compromised or misbehaving agent can therefore execute linked actions before a reviewer identifies the issue. Organizations need to discover agent identities, restrict permissions, and monitor sessions as deployments scale. The EchoLeak vulnerability, CVE-2025-32711, showed that a crafted email could enable remote data exfiltration through Microsoft 365 Copilot without user interaction. This exposure makes concurrent security design more important than adding controls after an agent reaches production.

Regulatory Accountability for High-Impact AI Decisions

Regulatory activity is raising the importance of documented controls for autonomous AI systems. Regulatory attention is increasing the importance of privilege management, system design, behavioral monitoring, and accountability for autonomous AI systems. The EU AI Act requires certain systems that interact with people to disclose their AI nature and the identity of the party they represent under Article 50. High-risk system obligations under Annex III are scheduled for December 2027 under the amended timetable. NIST launched its AI Agent Standards Initiative in January 2026 to address interoperability and security standards for agent systems. These developments make monitoring, identity verification, and audit records more relevant in enterprise procurement.

Fragmented Standards Across Agent Frameworks and Protocols

Agent frameworks and protocols handle identity, tool calling, and memory in different ways. This makes consistent policy enforcement difficult for buyers with varied agent environments. The Model Context Protocol has expanded the connection between agents and tools, but it also introduces new security concerns. The National Vulnerability Database recorded CVE-2026-25536 for cross-client data leakage in the official MCP software development kit. NIST is developing interoperability guidance through its AI Agent Standards Initiative. Until standards mature, vendors must support several runtimes, and buyers may face higher integration and testing costs.

Other drivers and restraints analyzed in the detailed report include:

1. Non-Human Identity Sprawl and Least-Privilege Requirements
2. Prompt Injection and Tool Misuse Risk
3. Shortage of Agent-Security Engineering Skills

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software Platforms held 72.39% of the Enterprise AI Agent Safety Platforms Market share in 2025. Buyers favor a consolidated governance console over separate point solutions because it enables a single policy layer across different agent runtimes. A unified control layer can reduce integration work and gaps in activity visibility. The component supports identity control, policy enforcement, tool oversight, and audit functions from a common interface. Platform providers are also building service partner ecosystems to support regional and mid-market accounts. Microsoft made Agent 365 generally available in May 2026 and identified services partners, including Accenture, Capgemini, KPMG, and Protiviti.

Services are the fastest-growing component at a 22.78% CAGR through 2031. It includes managed security services, professional deployment, and advisory work. This growth reflects the shortage of teams capable of designing and operating controls across multiple agent frameworks. Service providers can help enterprises establish governance policies and review high-risk workflows. Platform vendors are combining their products with partner-delivered implementation support. This approach may reduce the addressable work for independent service firms while increasing the total volume of services tied to platform adoption.

Cloud-Based deployment accounted for 59.55% of the Enterprise AI Agent Safety Platforms Market size in 2025. Many agents use managed large language model APIs and serverless tool runtimes that are already cloud-resident. Cloud-delivered security tools can be deployed alongside these architectures with less operational friction. This makes cloud platforms a practical option for agent inventory, policy distribution, and monitoring. Cloud adoption also supports consistent updates across distributed enterprise teams. The Enterprise AI Agent Safety Platforms Market continues to favor cloud delivery, where agent workflows use managed services.

Cloud-based deployment is also the fastest-growing model, with a 22.94% CAGR through 2031. On-premises deployments retain a role in air-gapped government settings, regulated financial infrastructure, and environments with sovereign data requirements. Hybrid architectures can combine an on-premises orchestration layer with cloud-based tool registries. Buyers can isolate agent compute environments and limit network reachability when managing sensitive workflows. Private-cloud and on-premises environments can provide more detailed network segmentation for organizations that need it. These needs sustain a mixed deployment pattern even as cloud-based delivery expands.

Complete Report Scope:

• By Component
  • Software Platforms
  • Services
• By Deployment
  • Cloud-Based
  • On-Premises
• By Function
  • Identity and Access Security
  • AI Governance and Risk Platforms
  • Threat Detection and Response
  • Data Security and Privacy
  • Vulnerability Assessment and Remediation
  • Other Functions
• By Organization Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises
• By Industry Vertical
  • Banking, Financial Services and Insurance
  • Healthcare and Life Sciences
  • Government and Defense
  • IT and IT-Enabled Services
  • Telecommunications
  • Retail and E-Commerce
  • Other Industry Verticals
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America held 40.22% of the Enterprise AI Agent Safety Platforms Market share in 2025. The region benefits from strong enterprise AI adoption and an established cybersecurity vendor ecosystem. The United States has federal procurement requirements for testing and human-review pathways that support demand for compliant agent controls. Canada contributes to demand in financial services, while Mexico adds to demand through the digitization of financial infrastructure. Regulated buyers place greater value on privilege management, monitoring, and accountability. These conditions support North America's leading position.

Europe has a compliance-led purchasing pattern for the Enterprise AI Agent Safety Platforms Market. Article 50 of the EU AI Act applies transparency requirements to certain agentic systems that interact with users. High-risk Annex III obligations are expected in December 2027 under the current timetable. Germany expanded mandatory federal cybersecurity supervision through its NIS2 implementation in December 2025. European buyers can therefore place added value on documented governance, access control, and audit capability. European vendors can compete with U.S. hyperscalers in accounts where compliance requirements guide purchasing decisions.

Asia-Pacific is the fastest-growing region at a 23.15% CAGR through 2031. Japan has developed specialized offerings, including GMO Cybersecurity, an IERAE AI Agent Penetration Testing service launched in April 2026. India's IT and ITES sectors drive demand for domestic deployments and for international clients that require compliance attestations for offshore AI workflows. China, South Korea, and Australia contribute separate regulatory and commercial conditions. Saudi Arabia and the United Arab Emirates are investing in sovereign AI infrastructure, while South Africa and Nigeria are early adopters in financial services. This spread of activity supports growth that is not dependent on one Asia-Pacific country.

1. Microsoft Corporation
2. Palo Alto Networks, Inc.
3. CyberArk Software Ltd.
4. Cisco Systems, Inc.
5. Okta, Inc.
6. CrowdStrike Holdings, Inc.
7. SentinelOne, Inc.
8. Google LLC
9. Amazon Web Services, Inc.
10. Cato Networks Ltd.
11. Proofpoint, Inc.
12. Zenity, Inc.
13. Lakera AI AG
14. Protect AI, Inc.
15. HiddenLayer, Inc.
16. Prompt Security, Inc.
17. Astrix Security, Inc.
18. Oasis Security Ltd.
19. Saviynt, Inc.
20. Cranium AI, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Enterprise Deployment of Autonomous Workflow Agents
  • 4.2.2 Regulatory Accountability for High-Impact AI Decisions
  • 4.2.3 Non-Human Identity Sprawl and Least-Privilege Requirements
  • 4.2.4 Prompt Injection and Tool Misuse Risk
  • 4.2.5 Delegated Authority Across Multi-Agent Handoffs
  • 4.2.6 MCP Tool Ecosystem Expansion and Tool-Provenance Requirements
• 4.3 Market Restraints
  • 4.3.1 Fragmented Standards Across Agent Frameworks and Protocols
  • 4.3.2 Runtime Security Latency and Compute Overhead
  • 4.3.3 Shortage of Agent-Security Engineering Skills
  • 4.3.4 False Positives Across Dynamic Agent Workflows
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software Platforms
  • 5.1.2 Services
• 5.2 By Deployment
  • 5.2.1 Cloud-Based
  • 5.2.2 On-Premises
• 5.3 By Function
  • 5.3.1 Identity and Access Security
  • 5.3.2 AI Governance and Risk Platforms
  • 5.3.3 Threat Detection and Response
  • 5.3.4 Data Security and Privacy
  • 5.3.5 Vulnerability Assessment and Remediation
  • 5.3.6 Other Functions
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium-Sized Enterprises
• 5.5 By Industry Vertical
  • 5.5.1 Banking, Financial Services and Insurance
  • 5.5.2 Healthcare and Life Sciences
  • 5.5.3 Government and Defense
  • 5.5.4 IT and IT-Enabled Services
  • 5.5.5 Telecommunications
  • 5.5.6 Retail and E-Commerce
  • 5.5.7 Other Industry Verticals
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Spain
    • 5.6.2.6 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 India
    • 5.6.3.4 South Korea
    • 5.6.3.5 Australia
    • 5.6.3.6 Rest of Asia-Pacific
  • 5.6.4 South America
    • 5.6.4.1 Brazil
    • 5.6.4.2 Argentina
    • 5.6.4.3 Chile
    • 5.6.4.4 Rest of South America
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Qatar
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Egypt
    • 5.6.6.3 Nigeria
    • 5.6.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Microsoft Corporation
  • 6.4.2 Palo Alto Networks, Inc.
  • 6.4.3 CyberArk Software Ltd.
  • 6.4.4 Cisco Systems, Inc.
  • 6.4.5 Okta, Inc.
  • 6.4.6 CrowdStrike Holdings, Inc.
  • 6.4.7 SentinelOne, Inc.
  • 6.4.8 Google LLC
  • 6.4.9 Amazon Web Services, Inc.
  • 6.4.10 Cato Networks Ltd.
  • 6.4.11 Proofpoint, Inc.
  • 6.4.12 Zenity, Inc.
  • 6.4.13 Lakera AI AG
  • 6.4.14 Protect AI, Inc.
  • 6.4.15 HiddenLayer, Inc.
  • 6.4.16 Prompt Security, Inc.
  • 6.4.17 Astrix Security, Inc.
  • 6.4.18 Oasis Security Ltd.
  • 6.4.19 Saviynt, Inc.
  • 6.4.20 Cranium AI, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment