Activepieces — agentic threat model
Activepieces presents a high agentic risk profile due to its 'automate anything' capability and zero-code agent ecosystem, which can orchestrate powerful third-party tools without visible built-in guardrails or sandboxing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.60 | |
| 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.
Not certain from the listing — The specific foundation models used by the ecosystem are not disclosed, leaving it generally vulnerable to prompt injection, adversarial reprogramming, and misaligned outputs depending on the user's chosen LLM.
Not certain from the listing — The mechanism for handling workflow data, context, and vector stores is unspecified, creating potential risks of data leakage or unauthorized data access during automation execution.
As a zero-code orchestration framework, Activepieces is highly vulnerable to tool misuse, insecure tool integration, and malicious workflow logic, especially given its design to 'automate anything' via third-party integrations.
Not certain from the listing — The deployment architecture, sandboxing of execution environments, and secrets management for third-party API keys are not detailed, risking credential theft or host compromise.
Not certain from the listing — There is no mention of built-in guardrails, run-time monitoring, or execution logging to detect and stop anomalous or malicious agent behaviors.
Not certain from the listing — Compliance certifications, role-based access control (RBAC), and enterprise security policies are not specified in the public directory listing.
Activepieces functions as an agent ecosystem, which introduces significant risks of cascading failures, rogue agent behaviors, and trust abuse when multiple automated workflows or agents interact.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).