Reasonyx — agentic threat model
Reasonyx presents moderate-to-high agentic risk due to its ability to execute automated, multi-step workflows across thousands of rows using 100+ external APIs and webhooks. The primary risk vectors are prompt injection via untrusted data imports (CSVs/webhooks) and cascading API failures within chained logic flows.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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 integrates third-party LLMs to run AI actions. The primary threat is prompt injection via untrusted CSV or webhook inputs, which could hijack the chained column logic.
Not certain from the listing — ingests data via CSV, webhooks, and external APIs. Threats include data poisoning from malicious inputs and potential exfiltration of sensitive research data through outbound API actions.
The platform orchestrates multi-step logic flows by chaining outputs from one column to the next. Threats include insecure tool integration across the 100+ connected APIs and cascading logic failures if an upstream column is compromised.
Not certain from the listing — operates as a closed-source SaaS platform. Threats include insecure storage of API credentials for external integrations and SSRF vulnerabilities via user-configured webhooks and data sources.
Not certain from the listing — no mention of built-in guardrails or monitoring. Gaps here could allow prompt injections or API abuse to execute silently across thousands of automated rows.
Not certain from the listing — no compliance certifications (e.g., SOC2) or governance controls are mentioned for managing access to premium data sources and external APIs.
Not certain from the listing — does not explicitly mention multi-agent coordination, but interacting with 100+ external AI APIs introduces ecosystem risks, including cascading failures and third-party data leakage.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).