Cycode MCP — agentic threat model

Not certain from the listing — The agent relies on external LLMs via the Model Context Protocol (MCP). It is susceptible to prompt injection attacks that could trick the host model into misinterpreting scan findings or ignoring critical security vulnerabilities.

The agent directly accesses sensitive data operations including source code, dependency manifests, hardcoded secrets, and IaC files. Unauthorized data exfiltration or manipulation of these inputs represents a major threat vector.

As an MCP tool provider, the agent exposes powerful scanning capabilities. Vulnerabilities in the orchestration framework could allow malicious actors to trigger unauthorized scans or manipulate tool parameters to access restricted directories.

Not certain from the listing — The agent runs via Cycode's CLI, implying execution in the developer's local environment or CI/CD pipeline. If the execution environment is not sandboxed, a compromised agent could lead to local privilege escalation or host compromise.

Not certain from the listing — There is no mention of built-in logging, guardrails, or anomaly detection to monitor how external AI agents invoke the Cycode MCP commands or to detect malicious scan patterns.

The agent integrates into the developer lifecycle to enforce security and compliance (SAST, SCA, secrets, IaC). However, access control and authorization policies governing which AI agents can invoke these scans are not detailed.

The agent is explicitly designed to surface findings to other AI coding agents. This creates a multi-agent trust boundary where a compromised coding agent could exploit the Cycode MCP tool to map out repository vulnerabilities.