AI is amplifying API security vulnerabilities. Learn key risks, stats, and why securing APIs is critical for agentic AI systems.

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New data from Wallarm's 2026 API ThreatStats Report reveals APIs are the single most exploited attack surface, accounting for nearly one in five published vulnerabilities and 43% of known exploited vulnerabilities in 2025. Classic threats like cross-site issues, injections, and broken access control dominate real-world attacks, with 97% of API vulnerabilities exploitable via a single request and 59% requiring no authentication. AI is compounding the problem: AI-related vulnerabilities surged 398% year-over-year, and 36% of AI vulnerabilities also expose an API attack surface. Model Context Protocol (MCP) is an emerging risk vector in agentic AI environments, where over-permissioned tools and weak runtime enforcement create direct API exposure. Securing agentic AI systems ultimately depends on securing the APIs that underpin them.

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