KushoAI has unveiled its latest report, State of API Security 2026: An AI-Native Testing Perspective, offering fresh insights into API vulnerabilities based on real-world testing. Unlike conventional reports that rely on surveys or audits, this study analyzes 1.4 million API test executions across 2,616 organizations, making it one of the most comprehensive datasets in the API security domain.
To begin with, the findings reveal that 34% of all API test failures directly relate to security concerns, highlighting a widespread gap in secure development practices. Furthermore, authentication and authorization issues account for 38% of these failures. While 91% of enterprises ensure APIs require authentication, only 29% properly enforce access controls across users and permissions. As a result, APIs may block unauthenticated users but still allow unauthorized cross-user access—creating a critical security loophole.
In addition, the report emphasizes the growing effectiveness of AI-driven testing. AI-generated test suites cover 2.7 times more OWASP API Security categories than manually written tests. Notably, these AI systems excel at identifying complex vulnerabilities such as privilege escalation, cross-user access flaws, and server-side request forgery. This trend remains consistent across all industries included in the dataset.
Moreover, newly deployed APIs appear to be significantly more vulnerable. The study highlights that new endpoints show a 3.1 times higher authentication failure rate compared to endpoints older than 80 days. This suggests that organizations often overlook rigorous security testing during early release stages—precisely when risks are highest.
Another critical concern lies in third-party API integrations. Only 24% of organizations validate third-party API responses before passing data downstream. Consequently, supply chain risks remain largely undetected, as seen in recent attacks like the LiteLLM PyPI incident and the Shai-Hulud npm worm campaign, both of which targeted AI API credentials without being flagged by traditional API testing tools.
Importantly, the study reveals that most vulnerabilities are not highly sophisticated. Instead, issues such as cross-user data exposure, expired credentials remaining active, and improper permission enforcement are common—and easily detectable through basic automated testing.
Highlighting this gap, Abhishek Saikia, Co-founder & CEO, KushoAI stated:
“The security failures in this dataset are not sophisticated. Gross-user data access, expired credentials still working, scope not enforced on write endpoints. These are detectable by basic automated fests. What the data shows, across 2,600 organizations, is that most teams are not running those fests. AI-native testing closes that gap systematically, by generating the edge cases that manual authoring consistently misses.”
Overall, the report underscores a critical shift toward AI-native security testing as organizations strive to close persistent gaps in API protection.
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