KushoAI’s State of API Security 2026 report, drawn from 1.4 million real test executions across 2,616 organizations, reveals a sweeping blind spot in how companies secure their digital infrastructure.
The alarming big picture
APIs, the invisible connectors that power every app, payment, and data exchange, are broken in ways most companies aren’t even testing for. Across 1.4 million test executions analyzed by KushoAI, 34% of all API test failures carry a direct security implication. That’s one in three failures, pointing to a real vulnerability. And the scariest part? Most of those failures exist because nobody thought to look.
Authentication: The lock that doesn’t actually lock
The single biggest problem is authentication, or rather, the illusion of it. A striking 91% of test suites verify that an unauthenticated request gets rejected. Still, fewer than 29% go further to check that authentication is correctly scoped, meaning a token for one user cannot access another user’s data.
In practice, this means an API can correctly block strangers at the front door while leaving the back door wide open for anyone already inside. Auth and authorization failures account for 38% of all security failures in the dataset, making it the single largest failure category by a wide margin.
New endpoints are the riskiest
Speed kills, especially in software. Endpoints in their first 30 days of production carry a 3.1x higher auth failure rate than those older than 90 days. New features, built fast and under pressure, are the most vulnerable. Yet they receive the least security scrutiny.
AI tests catch what humans miss — By a factor of 2.7x
Here’s where the report gets genuinely optimistic. AI-generated test suites cover 2.7x more OWASP security categories than manually authored ones, with the largest gaps in cross-user access probes, privilege escalation checks, and server-side request forgery.
The reason is straightforward: human developers write tests from their own perspective, checking that their code works. AI tools apply adversarial thinking automatically — asking whether someone else’s credentials could break your system. Organizations using AI-generated tests reviewed by humans achieve 84% OWASP coverage with a 4% false-positive rate, compared to 26% coverage and a 12% false-positive rate for purely manual suites.
Industry spotlight: Who’s most exposed?
The report maps risk across sectors. Fintech and banking organizations lead in security coverage, averaging across 7 of 10 OWASP categories, driven by compliance mandates such as PCI-DSS. But healthcare is a different story. Healthcare organizations have a 33% auth failure rate and cover only 4 out of 10 OWASP categories — the second-lowest in the dataset — despite the high stakes of patient data exposure.
Supply chain attacks: The threat no one is testing for
Perhaps the most sobering section of the report covers supply chain attacks — a category where the entire industry’s testing toolchain has zero coverage. Incidents like the LiteLLM PyPI attack in March 2026 deliberately targeted AI API credentials such as keys for OpenAI, Anthropic, and Cohere, exploiting the growing use of LLM-integrated backends. Only 24% of organizations validate third-party API responses before passing data downstream — the bare minimum defense against this class of attack.
The bottom line
KushoAI’s report is a wake-up call delivered in data. The security failures it documents are not the result of exotic hacking techniques — they are basic edge cases that simple automated tests would catch, running in pipelines that already exist. The gap isn’t capability. It’s coverage. And as AI tools close that coverage gap faster than any human team could, the organizations that adopt them earliest will be the ones that stop finding out about breaches from their customers.
