IA agents and cybersecurity: online analysis of CERT-AgID

The CERT-AGID analysis examines how AI agents connected to real code and SDKs can execute commands, interact with files and operating systems, and inadvertently expose sensitive information if interfaces are not designed securely. It emphasizes that prevention—secure integration, thorough code review, and robust tooling—is the only reliable way to keep AI actions under human control. #CERTAGID #GeminiSDK

Keypoints

CERT-AGID conducted an exploratory study to observe AI agent behavior when connected to real code using the Gemini SDK.
The report demonstrates that agents can execute commands and interact with files and operating systems, creating novel security challenges.
AI agents may unintentionally reveal sensitive information if interfaces and integrations are not designed with security in mind.
Security depends not only on the AI model’s behavior but critically on the quality and robustness of the connecting code and tools.
The document argues for a prevention-first approach: testing, reviewing, and hardening code before deployment is more effective than reactive fixes after incidents.
Preventive measures should be integrated into system architecture from the start so AI remains controlled by human oversight.

MITRE Techniques

[None ] The article does not explicitly reference specific MITRE ATT&CK techniques – ‘The document explores the new paradigm of AI, highlighting how prevention is the only way for conscious management.’

Indicators of Compromise

[No IOCs ] The article does not list any indicators of compromise such as IP addresses, file hashes, domains, or specific malicious file names – no examples provided.