43% of small companies (<100 employees) are concerned with the emergence of generative AI.

45% of medium companies (100-499 employees) are concerned with the emergence of generative AI.

2% of respondents expressed other security concerns about using Generative AI to develop APIs.

36% of organizations say GenAI is somewhat concerning for API security.

57% of organizations train developers on secure coding practices for AI-generated code.

10% of organizations were not confident at all in their ability to detect and respond to attacks leveraging Generative AI.

More than half (59%) of organizations are leveraging GenAI within their own security operations to streamline threat detection and risk mitigation.

3% of organizations are taking other measures to mitigate the risks of using Generative AI to develop APIs.

3% of organizations do not know if Generative AI is perceived as a growing API security concern/risk within their organization.

9% of organizations have no plans to use GenAI in API development.

5% of organizations reported that GenAI is not a concern at all for API security.

13% of organizations reported using GenAI for all API development.

23% of organizations plan to adopt GenAI within the next 6–12 months for API development.

49% of organizations are using GenAI for some API development.

15% of organizations are very confident in detecting and responding to attacks leveraging Generative AI.

55% of organizations were somewhat confident in their ability to detect and respond to attacks leveraging Generative AI.

5% of organizations did not know about their ability to detect and respond to attacks leveraging Generative AI.

15% of organizations were not very confident in their ability to detect and respond to attacks leveraging Generative AI.

38% of healthcare organizations identified generative AI or AI tools as a cybersecurity concern, a new category in this year’s study.

68% of financial services leaders highlight GenAI-related risks as a top concern.