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Research Finds That API Security Blind Spots Could Put AI Agent Deployments at Risk

Research found that 80% of organisations lack continuous, real-time API monitoring, leaving them blind to active threats targeting AI agents

by Guru Writer
October 8, 2025
in Editor's News, Featured, Features
Research Finds That API Security Blind Spots Could Put AI Agent Deployments at Risk
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New research by Salt Security has revealed an alarming disconnect between rapid API adoption and immature security practices, threatening the success of critical AI and automation initiatives. The H2 2025 State of API Security Report shows that, as enterprises race to capitalise on the emerging AI Agent Economy, API security has emerged as a systemic vulnerability in the digital backbone that powers it.

The findings came from a study of responses from 386 professionals tasked with managing APIs in their organisations. Notably, the research found that 80% of organisations lack continuous, real-time API monitoring, leaving them blind to active threats targeting AI agents.

Additionally, the research found that 1 in 3 companies (33%) experienced an API security incident in the past year, while 50% had to delay a new application rollout due to API security concerns. Only 19% are “very confident” in the accuracy of their API inventory, while more than half (54%) rely on error-prone developer documentation to identify sensitive data exposure.

Eric Schwake, Director of Cyber Security Strategy at Salt Security, said: “APIs are now central to digital transformation and AI, yet security controls remain inconsistent, reactive, and dangerously behind the curve. AI without API security is like driving a car blindfolded – if you can’t govern APIs, you can’t govern AI. Without immediate action, the unmonitored API attack surface will continue to expand, putting both innovation and resilience at risk.”

Generative AI is adding new layers of complexity to API security. While 62% of organisations have already adopted GenAI in API development, more than half (56%) view it as a growing security concern, particularly due to vulnerabilities in AI-generated code. At the same time, 59% are leveraging GenAI within their security operations, creating a dynamic that introduces both defensive opportunities and offensive risks.

The study highlights explosive growth in API adoption, with 41% of organisations reporting increases of 51–100% over the past year and a further 13% experiencing growth of 101–200%.

Remarkably, 6% saw their API volumes more than triple, surging by over 301% in just 12 months. This rapid expansion is mirrored in portfolio size, as 42% of organisations now manage between 101 and 500 APIs, while 14% oversee more than 1,000, further demonstrating the accelerating scale and complexity of today’s API ecosystems.

Despite rising investment in API security, significant challenges remain. Nearly 80% of organisations increased their budgets over the past year, yet most of these boosts were modest at under 15%. Budget limitations were cited as the top barrier by 25% of respondents, followed by resource shortages (16%). Beyond funding, structural concerns persist, with 15% citing inadequate runtime security, 14% highlighting poor manageability, and 12% noting underinvestment in pre-production security, signs that many programs are still struggling to mature.

The report urges organisations to pivot from fragmented, reactive defences to a holistic strategy built on continuous API discovery, stronger governance, runtime protection, and GenAI-specific safeguards.

“AI adoption is rampant, but security is not keeping up. Existing tools miss the API execution layer, which means attackers can hijack entire AI agents via APIs,” added Eric Schwake. “Enterprises that master API security will be able to unlock AI-driven innovation safely at scale. Those that don’t are at risk of falling behind.”

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