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The expanding API attack surface in the age of AI, ETCISO
Application programming interfaces (APIs) have quietly emerged as one of the fastest-growing attack surfaces in enterprise environments. They power modern user experiences across web and mobile channels while forming the backbone of integration and automation strategies.
With the rapid expansion of AI, their importance has grown even further. Large language models are accessed through APIs and, in turn, interact with other systems via APIs, including through frameworks such as the Model Context Protocol (MCP).
This increased reliance has been accompanied by explosive growth. AI use cases have driven a sharp rise in API traffic and proliferation, with many organizations reporting a significant increase in the number of APIs due to automation. As APIs have become a dominant architectural approach, they have also drawn the attention of malicious actors.
A stolen API credential for an AI platform, such as an API key for Anthropic or OpenAI, can have significant cost implications. Incidents show how a single successful API attack can expose hundreds of thousands of files and user accounts, underscoring the scale of risk when these interfaces are not properly secured.
AI Agents Accelerating API Security Risks
AI agents are now accelerating the risk. APIs have always been easy to expose but difficult to defend, and AI has made this imbalance more pronounced.
Coding agents and similar tools are automating the creation of APIs at scale, while frameworks such as Model Context Protocol enable agents to dynamically access services through APIs, introducing additional security considerations.
At the same time, APIs designed for legitimate use can be exploited by attackers to scrape data, expanding the need for behavioral monitoring. These dynamics are driving a rapidly growing and increasingly difficult to manage attack surface.
What Security Leaders Must Do to Mitigate API Attacks
As API ecosystems expand rapidly with AI adoption, security leaders must move from fragmented controls to a coordinated approach that improves visibility, prioritization and protection across the API lifecycle.
- Discover All APIs Across the Environment: Organizations must start by establishing complete visibility into their API landscape, including both owned and third-party dependencies. This requires using automated tools that analyze traffic patterns and scan code repositories to identify APIs in development or at runtime.
- Categorize APIs Based on Business Risk: Once discovered, APIs must be classified to focus security efforts where they matter most. This includes identifying high-priority APIs based on business criticality, the sensitivity of the data they expose, their level of external exposure and whether they are accessed by AI agents. Such categorization enables organizations to align protection strategies with actual risk, rather than applying uniform controls across all APIs.
- Conduct Threat Modeling for APIs: Security leaders should apply structured threat modeling to understand how APIs may be attacked and what controls are required. This involves assessing API usage patterns, identifying potential attack vectors and aligning controls with organizational factors such as industry, regulatory obligations and regional requirements. Threat models must also explicitly consider how AI agents interact with APIs.
- Continuously Manage API Security Posture: Organizations need to continuously identify misconfigurations and gaps in protection, integrating security checks into development pipelines and automating remediation workflows. This approach ensures that vulnerabilities are addressed quickly as APIs evolve.
- Implement Layered Protection Controls
Protecting APIs requires multiple layers of defense that address different categories of attacks. Security leaders should deploy controls such as DDoS protection, WAFs, bot mitigation and API threat protection to identify and mitigate common API attacks.
- Strengthen Access and Authorization Controls: Strong access control mechanisms are essential to prevent unauthorized use of APIs. Organizations can mitigate access violations by using OAuth, supported by an API gateway for authorization control, and enhanced with behavioral and abuse-aware controls. Ensure that IAM policies are also extended to the AI agent ecosystem.
Together, these actions enable security leaders to build a resilient API security posture that keeps pace with the scale, speed and complexity introduced by AI-driven API growth.Gartner analysts will discuss key topics for CIOs and IT leaders around AI, executive leadership, cybersecurity, operating models and more at the Gartner IT Symposium/Xpo, taking place November 16-18, 2026, in Kochi.
The author is Mark O’Neill, Distinguished VP Analyst, Chief of Research, Gartner.
Disclaimer: The views expressed are solely of the author and ETCISO does not necessarily subscribe to it. ETCISO shall not be responsible for any damage caused to any person/organization directly or indirectly.
