Kong Inc., a pioneering developer of cloud API technologies, recently released findings from their API Security Perspectives 2025: AI-Enhanced Threats and API Security Report, which highlights the API security landscape and how new developments in AI will impact it.
Most notably, 25% of respondents have encountered AI-enhanced security threats related to APIs or LLMs, with 75% of respondents expressing serious concern about AI-enhanced attacks in the future. And while 85% say they’re confident in their organization’s security capabilities, 55% of respondents cited they’ve experienced an API security incident in the past year, highlighting a notable disconnect.
Comprehensive security measures
While 92% of respondents say they are taking measures to counter AI-enhanced attacks
The findings also put into perspective the importance of having a strong security strategy noting that 1 in 5 respondents cited their organization has experienced an API security incident costing more than $500,000 in the past 12 months.
While 92% of respondents say they are taking measures to counter AI-enhanced attacks and 88% of respondents citing API security as a top priority, it is clear that many organizations lack the comprehensive security measures needed to protect their API infrastructure in the AI era.
Overall cybersecurity strategy
“Organizations cannot afford to underestimate their own security risks — especially in the age of AI,” said Marco Palladino, CTO and Co-Founder of Kong, Inc.
“The report showcases that API security is being taken seriously as part of overall cybersecurity strategy, but there are still some blind spots that can open an organization up to threats. As AI continues to advance, not only will companies create more vulnerabilities within their own organizations, but attacks will become more sophisticated. Understanding the full threat landscape is crucial to maintaining a strong API security posture.”
API security risks
The research finds many basic API security tactics being left out of the overall strategy
As might be expected, 84% of respondents feel AI and LLMs will make securing APIs more difficult, but surprisingly, the research finds many basic API security tactics being left out of the overall strategy.
Only 35% of organizations are adopting zero-trust architecture in order to mitigate API security risks and only 3% of respondents cite shadow APIs as a significant security threat to their organization. With the convergence of APIs and AI, it is more important than ever to have a strong API security posture.
Key stats from the report
Additional key stats from the report include:
- The top three measures organizations are taking to secure APIs against AI-enhanced threats include increased monitoring and traffic analysis (66%), educating staff on AI-related threats (60%), and AI-driven threat detection systems (51%)
- The top three steps being taken to mitigate API security risks are API monitoring and anomaly detection tools (63%), API gateway solutions (61%), and API encryption and tokenization (58%)
- 45% of organizations have dedicated at least 20% of their cybersecurity budgets to API security
- 41% are unsure or doubtful that their organization's investment is enough to cover API security risks
- 66% of organizations are implementing API governance frameworks to ensure compliance with internal policies and external regulations (e.g., GDPR, HIPAA)
This report examines the evolving landscape of API security by analyzing expert opinions on current trends and dynamics. To gather these insights, a comprehensive survey was commissioned with a professional polling firm in October and November 2024. The survey included 700 IT professionals and business leaders across two key markets: the United States and the United Kingdom.
