Gantt_Chart_AI — agentic threat model

Not certain from the listing — likely uses a standard commercial LLM to parse natural language into structured task lists. Vulnerable to prompt injection that could corrupt the generated timeline or attempt to insert malicious payloads into the output.

Not certain from the listing — does not explicitly mention RAG or vector databases. Main data risk is the handling of sensitive corporate project descriptions provided by users, which could be leaked if logged or used for model training.

Not certain from the listing — likely uses a simple deterministic parser or basic orchestration to map LLM output to a Gantt format. Risk of tool misuse is low, but insecure parsing of LLM outputs could lead to injection vulnerabilities in the exported sheets.

Not certain from the listing — hosted as a closed-source web service. Risks include insecure API endpoints, lack of sandboxing during file generation, and potential exposure of user-generated Google Sheets if permissions are misconfigured.

Not certain from the listing — no mention of guardrails, logging, or drift monitoring. Lack of observability could allow prompt injection attacks or data exfiltration attempts to go unnoticed.

Not certain from the listing — no compliance certifications (like SOC2) or explicit data privacy policies mentioned. Risks include non-compliance with GDPR if project descriptions contain PII.

No multi-agent or marketplace interactions are described. The agent operates as a standalone vertical tool, minimizing ecosystem-level cascading risks.