The Edamame platform is a host-side runtime verification system that monitors AI coding agents for 'intent drift'—a divergence from the developer's original intent that can lead to security risks such as secret theft and supply-chain attacks. It integrates six layers including posture monitoring, agent integrations, divergence analysis, and attack-pattern detection aligned with CVEs. By analyzing telemetry from processes, filesystems, networks, and tools, it detects suspicious behaviors like credential harvesting and exfiltration attempts. Although it does not block malicious activity, it alerts teams immediately upon detection, enabling timely response. The platform targets the security gap created by AI coding agents acting autonomously within developer environments.

The platform addresses the risk of AI coding agents unintentionally or maliciously diverging from intended behavior, which can result in the exfiltration of sensitive credentials, tokens, SSH keys, source code, and other secrets. It also detects supply-chain attacks delivered through coding agents, such as npm and PyPI malware, by identifying suspicious runtime activity. While it does not prevent attacks or block malicious code execution, it provides immediate detection and evidence to facilitate rapid remediation, reducing the potential damage from such threats.

This is a detection and runtime verification platform rather than a vulnerability with a patch. There is no indication of a vulnerability in Edamame itself requiring remediation. Organizations using AI coding agents should consider deploying runtime verification and telemetry analysis tools like Edamame to detect intent drift and supply-chain attacks in real time. Since this platform provides detection rather than prevention, it should be integrated into existing security workflows to enable rapid response upon alerts. No official patch or fix is applicable.