Security and Data Exposure Assessment of AI Systems in Agrifood Platforms

AI systems can process sensitive data, interact with users, and integrate with third-party services, which may introduce security risks or unintended data exposure. Prior to the assessment, these issues might remain undetected. After the service, the customer receives a detailed report identifying security weaknesses, their severity, and actionable recommendations for mitigation. This contributes to improving the robustness and resilience, transparency, and market readiness of the solution.

The service is delivered remotely. The customer must provide access to a working version or testing environment of the system (URL, test credentials, API endpoints), along with a brief technical description of the AI system to be evaluated. The deliverable is a structured report including identified risks and vulnerabilities, severity classification, and recommended mitigation strategies. Meetings may be scheduled during the evaluation process to clarify functional aspects or address specific questions. A follow-up session can also be arranged upon request to discuss the results and support decision-making. There are no restrictions related to time of year; the service can be provided at any moment.

The service can be tailored to different types of AI systems, focusing on their interaction with users, external services, and data sources. The analysis combines the use of automated tools and manual inspection to identify weaknesses related to access control, input handling, and information disclosure. It is applicable to systems with a functional version or test environment, and it follows a structured, non-intrusive methodology aligned with secure-by-design principles.