TurboDoc — agentic threat model

Not certain from the listing — The specific foundation models used for invoice extraction are not disclosed. The primary threat is indirect prompt injection, where adversarial text embedded in uploaded invoices manipulates the model's extraction logic or downstream workflow instructions.

Not certain from the listing — The data pipeline, vector storage, and RAG mechanisms for duplicate detection are unspecified. Threats include data poisoning if fraudulent invoices are ingested into the historical database used for duplicate matching.

Not certain from the listing — The orchestration framework managing the customizable workflows and ERP tool execution is not detailed. Insecure tool integration could allow an attacker to trigger unauthorized API calls to connected accounting systems.

Not certain from the listing — No information is provided regarding hosting infrastructure, secrets management for ERP credentials, or sandboxing of document parsing libraries. Maliciously crafted PDFs could exploit parser vulnerabilities to achieve remote code execution.

Not certain from the listing — There is no mention of real-time guardrails, drift detection, or logging mechanisms to monitor extraction accuracy. This creates a blind spot where silent extraction errors could lead to incorrect financial records.

Not certain from the listing — Despite handling highly sensitive financial data, the listing does not specify compliance certifications (such as SOC 2), role-based access control (RBAC), or audit logging capabilities.

Not certain from the listing — Multi-agent coordination is not explicitly mentioned, but the agent's integration with external ERP ecosystems introduces trust boundary risks and potential cascading failures if the connected ERP is compromised.