Reducto AI — agentic threat model
Reducto AI presents a moderate-to-high risk profile primarily driven by the ingestion of untrusted, complex documents containing potential prompt injections or parser exploits, which could compromise highly sensitive data in downstream RAG pipelines.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
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.
Uses LLMs for agentic OCR, figure summarization, and graph-to-table conversion. Highly vulnerable to indirect prompt injection embedded within uploaded PDFs/documents, which could manipulate the structured JSON output.
Ingests highly sensitive documents (finance, healthcare, legal). Risks include data exfiltration of sensitive PII/PHI, knowledge-base poisoning of downstream RAG systems via manipulated parsed outputs, and lack of data lineage controls.
Orchestrates document splitting, schema extraction, and table parsing. Vulnerabilities in underlying parsing libraries (e.g., PDF/Excel parsers) could be exploited via malicious file uploads to cause denial of service or tool misuse.
Not certain from the listing — the hosting environment, sandboxing of the document execution/parsing engine, and secrets management are not detailed, though 'enterprise security options' are advertised.
Not certain from the listing — there is no explicit mention of built-in evaluation, logging, or guardrails to detect anomalous inputs or drift in parsing accuracy.
Targets highly regulated industries (healthcare, finance, legal) and offers 'enterprise security options'. Compliance risks are high if data handling does not strictly align with HIPAA, GDPR, or SOC2 standards.
Outputs structured JSON designed to feed downstream RAG and automation systems. Compromised or manipulated parsed outputs can cause cascading failures or unauthorized actions in connected agentic ecosystems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.