e-invoice — agentic threat model

Not certain from the listing — The specific foundation models used for PDF/Word/Excel to UBL conversion are not disclosed. The primary threat is adversarial prompt injection embedded within uploaded invoices, which could manipulate the model into generating incorrect UBL schemas or extracting fraudulent payment details.

The agent processes highly sensitive financial data, including invoice contents, IBANs, and KYC onboarding documents. Threats include data exfiltration of financial records and poisoning of the parsing pipeline to misroute payments.

Not certain from the listing — It is unclear if a dynamic agent framework (e.g., LangChain) is used or if it is a structured pipeline. The threat is insecure tool integration where the parser incorrectly maps fields to the Peppol delivery tool, leading to unauthorized data transmission.

Not certain from the listing — The hosting environment for the REST API and Peppol Access Point is not detailed. Threats include container compromise or API key theft, allowing attackers to send fraudulent invoices directly to the Peppol network.

Not certain from the listing — Real-time webhooks are used for notifications, but LLM-specific guardrails or validation layers are not detailed. A lack of strict validation on the generated UBL output could allow malformed or malicious XML to be sent to external systems.

The agent handles regulatory-heavy tasks including KYC onboarding, IBAN validation, and Peppol compliance. Threats include compliance failures (e.g., GDPR, AML) if the automated KYC onboarding is bypassed or spoofed via adversarial inputs.

The agent acts as an intermediary connecting SaaS platforms to the global Peppol network. A compromise of this agent could lead to cascading trust failures, allowing an attacker to distribute fraudulent invoices to numerous external organizations automatically.