Artisian AI — agentic threat model

Not certain from the listing — likely relies on proprietary or third-party foundation models optimized for business workflows. Primary threats include prompt injection leading to unauthorized email generation or manipulation of bookkeeping logic.

Not certain from the listing — must ingest and process highly sensitive data including customer PII, email histories, and financial ledgers. Threats include unauthorized data exfiltration, lack of data lineage, and poisoning of the context window with malicious emails.

Not certain from the listing — orchestrates complex tasks across sales and accounting domains. Threats include insecure tool integration with CRMs and financial software, allowing arbitrary write actions or unauthorized transactions.

Not certain from the listing — hosted as a closed-source SaaS platform. Threats include insecure storage of third-party API credentials (CRM, email, accounting) and potential lateral movement if the hosting environment is compromised.

Not certain from the listing — requires strict observability to monitor financial transactions and outbound communications. Threats include insufficient audit logging of agent-initiated actions and lack of real-time guardrails to catch erroneous bookkeeping entries.

Not certain from the listing — handling financial records and customer communications demands strict compliance frameworks (e.g., SOC 2, GDPR). The closed-source nature makes independent verification of these controls difficult.

Not certain from the listing — the mention of multiple 'digital workers with different purposes' suggests a multi-agent ecosystem. Threats include cascading failures where a compromised sales agent feeds malicious data to the bookkeeping agent.