AI ROI Calculator — agentic threat model

Not certain from the listing — likely relies on a commercial LLM to power the guided assistant. Primary threats include prompt injection that could manipulate cost/benefit estimations or cause the assistant to output misleading financial advice.

Not certain from the listing — processes user-provided business goals, OKRs, and financial estimates. If these are stored in a database or vector store to persist ROI models, they represent sensitive proprietary data vulnerable to exfiltration or unauthorized access.

Not certain from the listing — orchestration likely coordinates user inputs with deterministic calculation tools (NPV, ROI, Payback Period). A threat exists if the calculation engine insecurely parses unvalidated LLM outputs, leading to injection vulnerabilities.

Not certain from the listing — hosted as a closed-source web application. Standard web infrastructure threats apply, including session hijacking, insecure direct object references (IDOR) to other users' ROI models, and lack of tenant isolation.

Not certain from the listing — no mention of guardrails or observability tools. Without input/output validation, the AI assistant could hallucinate unrealistic financial metrics or industry-standard tips without detection.

Not certain from the listing — no compliance certifications (such as SOC2) or access control mechanisms are detailed, which is a concern given that users upload sensitive business strategy and financial projections.

Not certain from the listing — appears to operate as a standalone, single-agent utility with no multi-agent coordination or external ecosystem integrations, minimizing ecosystem-level threats.