AI agents and cybersecurity: online analysis of CERT-AgID

The CERT-AGID report examines risks posed by AI agents that can execute commands and interact with operating systems, showing that many dangers arise from the connector code and interfaces rather than the AI model alone. It emphasizes that prevention—through rigorous testing, secure SDK design, and integrating security into architecture from the start—is the only reliable way to keep AI systems under human control. #CERTAgID #GeminiSDK

Keypoints

The CERT-AGID conducted an exploratory study on AI agents connected to real code to observe their behavior and risks when interacting with operating systems.
The experiment used the Gemini SDK to demonstrate how an agent can execute commands and access system-level functions, potentially exposing sensitive information.
Vulnerabilities are often introduced by the code and tools that connect the AI agent to the environment, not by the AI model itself.
The report stresses prevention over reaction: early testing, code review, and secure interface design are essential to avoid incidents.
Security should be built into the architecture from the outset; a well-designed connector acts as lanes, signage, and barriers for safe agent behavior.
Human control is maintained by designing robust infrastructure and governance practices that limit what agents can do in real environments.

MITRE Techniques

[T0000 ] Technique Not Specified – The article does not reference any specific MITRE ATT&CK technique codes or names (‘the document explains, step by step, how an AI agent “thinks and acts” and how it can inadvertently reveal sensitive information if interfaces are not carefully designed’).

Indicators of Compromise

[None ] No IOCs mentioned – the article does not provide IP addresses, file hashes, domains, file names, or other concrete indicators of compromise.