Press Releases April 28, 2026 06:28 AM

Security Leaders Cite AI as a Risk Multiplier for APIs in New Akamai Survey

Akamai Survey Highlights AI as a Risk Multiplier in API Security, Calls for Enhanced Protections

By Caleb Monroe AKAM
Security Leaders Cite AI as a Risk Multiplier for APIs in New Akamai Survey
AKAM

Akamai Technologies released its fourth annual API Security Impact Survey revealing a sharp rise in API-related cyberattacks, with AI-powered APIs increasingly targeted. The survey of 1,840 security professionals shows 87% experienced API security incidents last year, with significant financial impacts averaging over $700,000 per incident. The research underscores the growing challenge of API visibility and security, especially in the context of AI and large language models, and advocates for stronger API security measures to support trusted AI adoption.

Key Points

  • API-related security incidents are increasing, impacting a majority of organizations surveyed with high costs per incident, especially in financial services, energy, manufacturing, and healthcare sectors.
  • AI technologies and APIs powering AI applications are now top cybersecurity priorities, as nearly half of respondents report attacks targeting these systems.
  • There is a considerable gap in API visibility and security maturity between leadership confidence and frontline implementation, indicating challenges in securing the expanding API attack surface.
  • Sectors impacted include cybersecurity, IT infrastructure, financial services, energy, manufacturing, and healthcare due to API vulnerabilities and associated cyber risk.

CAMBRIDGE, Mass., April 28, 2026 (GLOBE NEWSWIRE) -- Akamai (NASDAQ: AKAM) today released new research showing that organizations are rushing to deploy APIs without adequate security or testing, leaving them vulnerable to attacks once released. Now in its fourth year, the Akamai API Security Impact Survey examines the state of API protection based on a global survey of 1,840 security professionals across 6 industries and 10 countries.

The study shows that API attacks continue to rise. Eighty-seven percent of respondents reported an API-related security incident in the past year, up from 76% in 2022. On average, organizations reported 3.5 API-related security incidents in the past 12 months, with an average cost exceeding US$700,000 per incident.

Security teams rank securing AI technologies as their top cybersecurity priority (38%) for the next year. Additionally, 42% of security professionals say APIs that power their AI applications, agents, and large language models (LLMs) were targeted by cyberattacks in the past 12 months. These findings reinforce recent Akamai research that identified APIs as a primary attack surface for cybercriminals.

Survey results show organizations increasingly lack API visibility, a problem worsened by AI, with only 23% of enterprises with full API inventories now knowing which APIs expose sensitive data — down from 40% in 2022.

Other survey findings include:

  • Nearly all respondents in the financial services sector (96%) reported an API-related attack in the past 12 months.
  • The industries with the highest incident costs were energy and utilities (US$860,000), manufacturing (US$732,000), and health and life sciences (US$725,000).
  • Nearly 80% of enterprises rank API security among their top three cybersecurity priorities.
  • Forty percent of C-suite leaders report advanced API testing maturity, compared with just 28% of DevSecOps teams. This suggests that leadership confidence exceeds what implementation teams report on the ground.
  • Slightly more than half of organizations (53%) have dedicated personnel responsible for API security.

“The rapid expansion of the API attack surface means organizations who rely heavily on APIs face significant risks, financial impact, and compromised visibility,” said Sean Lyons, Senior Vice President and General Manager, Application and Infrastructure Security at Akamai. “APIs are rapidly exploding in number and most companies can’t keep track of them. If you’re adopting AI, API security can't be an afterthought. You need the foundation to actually trust the AI systems you're building.”

Beyond survey insights, the study also provides recommendations to help security teams strengthen their API security strategies. These include closing visibility gaps by discovering and inventorying all APIs that are linked to LLMs and AI applications, embedding security testing and controls throughout the API lifecycle, and treating API security as a prerequisite for trusted AI.

About Akamai

Akamai is the cybersecurity and cloud computing company that powers and protects business online. Our market-leading security solutions, superior threat intelligence, and global operations team provide defense in depth to safeguard enterprise data and applications everywhere. Akamai’s full-stack cloud computing solutions deliver performance and affordability on the world’s most distributed platform. Global enterprises trust Akamai to provide the industry-leading reliability, scale, and expertise they need to grow their business with confidence. Learn more at akamai.com and akamai.com/blog, or follow Akamai Technologies on X and LinkedIn.

Contact
Akamai Media Relations
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Risks

  • Rapid expansion of APIs without adequate security or visibility increases organizations' exposure to cyberattacks, leading to potential financial losses and operational disruptions, particularly in industries heavily reliant on APIs.
  • The mismatch between executive confidence and actual API security implementation might delay necessary improvements in API security practices, risking further breaches.
  • Inadequate AI and API security could undermine trust in AI systems, potentially slowing AI adoption in enterprises and affecting sectors investing heavily in AI-powered digital transformation.

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