Flowhunt — agentic threat model
Flowhunt presents a moderate-to-high agentic risk due to its extensive third-party integrations (Shopify, HubSpot, Slack) and RAG capabilities, which could be exploited via indirect prompt injection to perform unauthorized actions in connected business systems.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.40 | |
| 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 relies on external foundation models (e.g., OpenAI, Anthropic) integrated via API, exposing it to prompt injection, model misalignment, and API-based data leakage.
Supports knowledge source integration (databases, websites) for RAG, making it highly vulnerable to data poisoning, indirect prompt injection via scraped websites, and unauthorized data exfiltration.
Orchestrates workflows via a visual flow builder with task decomposition and query expansion. Risks include insecure tool integration, logic flaws in custom workflows, and tool misuse.
Not certain from the listing — as a closed-source SaaS platform, infrastructure security, sandboxing of execution environments, and secrets management for third-party integrations are opaque.
Not certain from the listing — lacks explicit mention of built-in guardrails, evaluation frameworks, or observability logging, creating potential blind spots for drift and anomalous agent behavior.
Not certain from the listing — handles sensitive integrations (HubSpot, Shopify) but does not detail access controls, encryption, or compliance certifications (e.g., SOC2, GDPR).
Integrates with external ecosystems (Shopify, HubSpot, Slack), creating risks of cascading failures, unauthorized actions in connected platforms, and API trust abuse.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).