Futurwise — agentic threat model
Futurwise presents a low-to-moderate agentic risk profile, primarily acting as an ingestion and summarization tool. Its main security vectors involve indirect prompt injection via untrusted user-provided content (PDFs, URLs) and the potential exposure of its 'private library' data store.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.40 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — likely utilizes commercial LLMs for multi-lingual summarization. The primary threat is indirect prompt injection embedded within user-submitted PDFs, YouTube transcripts, or web articles, which could hijack the model's instructions.
Ingests diverse external data formats (PDFs, URLs, YouTube, podcasts) and stores them in a 'private library'. This introduces risks of data poisoning, malicious document parsing exploits, and unauthorized access to the user's stored knowledge base.
Not certain from the listing — likely uses a basic orchestration framework to handle document chunking and summarization pipelines. Threats include insecure tool integration, specifically SSRF (Server-Side Request Forgery) when fetching external URLs or YouTube metadata.
Not certain from the listing — likely hosted on standard cloud infrastructure. Threats include container compromise or privilege escalation if the PDF/podcast parsing microservices are not properly sandboxed from the main application database.
Not certain from the listing — no mention of content filtering or guardrails. The system may have blind spots regarding malicious payloads or exfiltration attempts hidden in summarized text.
Claims to offer a 'securely stored' private library, but lacks explicit compliance certifications (e.g., SOC2, GDPR). The primary threat is Broken Object Level Authorization (BOLA) allowing users to access other users' private libraries.
Not certain from the listing — the agent operates as a standalone productivity tool with no described multi-agent or marketplace ecosystem interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).