fileAI — agentic threat model
fileAI presents a moderate-to-high risk profile due to its role in processing and preparing complex organizational data, combined with the opacity of its closed-source architecture and lack of disclosed security controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.60 |
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 — The specific foundation models powering fileAI are not disclosed. Standard risks include adversarial prompt injection manipulating data parsing logic, or model reprogramming during complex data ingestion.
As a data preparation platform, fileAI directly ingests, transforms, and structures complex datasets. This exposes it to high risks of data poisoning, unauthorized data exfiltration, and lineage/provenance gaps if malicious inputs are processed.
Not certain from the listing — The orchestration framework managing the 'complex workflows' is unspecified. However, executing multi-step data preparation workflows introduces risks of tool misuse and insecure integration with data transformation utilities.
Not certain from the listing — No details are provided regarding hosting, sandboxing, or secrets management. Robust sandboxing is critical here to prevent untrusted user files from executing malicious code on the host infrastructure.
Not certain from the listing — There is no mention of evaluation frameworks, real-time monitoring, or guardrails to detect anomalous data transformations or drift in the data preparation pipeline.
Not certain from the listing — The closed-source platform does not disclose compliance certifications (e.g., SOC2, ISO 27001) or specific identity and access management policies for handling sensitive data.
Not certain from the listing — There is no indication that fileAI operates within a multi-agent ecosystem or integrates with external agent marketplaces.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).