Pinkfish AI — agentic threat model
Pinkfish AI presents a high-risk profile due to its powerful combination of browser automation, API execution, and 200+ enterprise integrations. While deterministic execution options provide some control, the self-healing and agentic capabilities could be exploited to perform unauthorized actions or exfiltrate sensitive enterprise data if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.50 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.50 | |
| 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 Pinkfish AI are not disclosed, leaving risks like model-specific adversarial vulnerabilities or data poisoning unverified.
Not certain from the listing — While the platform integrates with data-rich systems like Salesforce and Zendesk, the underlying data operations, vector stores, and RAG mechanisms are not detailed.
Pinkfish AI orchestrates complex workflows using natural language, browser automation, and 200+ integrations. This introduces significant risks of tool misuse, prompt injection leading to unauthorized API calls, and execution of unintended browser actions.
Not certain from the listing — The execution environment for browser and API automations is not described, leaving sandboxing, container isolation, and secrets management practices unverified.
Not certain from the listing — Although 'self-healing workflows' imply some level of execution monitoring, the platform's security observability, guardrails, and logging capabilities are not specified.
Not certain from the listing — The platform claims to be 'enterprise-grade' but does not explicitly cite specific compliance certifications (e.g., SOC 2, ISO 27001) or identity governance controls.
Not certain from the listing — While users can build multiple AI agents and automations, the presence of a multi-agent ecosystem, agent-to-agent trust boundaries, or a marketplace is not detailed.
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.