Activepieces Agents — agentic threat model
Activepieces Agents is a highly flexible, horizontal agent-building platform with significant risk due to its deep integration into diverse business processes and tools. The lack of explicit sandboxing and security guardrails in the listing, combined with high tool-use autonomy, presents a substantial attack surface for prompt injection and unauthorized actions.
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 | 0.60 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.50 | |
| 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 — Activepieces is a platform that likely allows users to connect various foundation models (OpenAI, Anthropic, etc.) via API, making it susceptible to model-specific threats like prompt injection or misaligned outputs depending on the chosen provider.
Not certain from the listing — As a business process automation platform, it likely handles sensitive business data and integrates with vector databases or knowledge bases, raising risks of data exfiltration or poisoning.
Activepieces provides the orchestration framework to build agents using natural language. The primary threats here are insecure tool integration, prompt injection leading to unauthorized tool execution, and logic flaws in multi-step planning.
Not certain from the listing — While it is open-source and can be self-hosted or run in the cloud, specific sandboxing of executed code or secrets management details are not provided, risking privilege escalation or container compromise.
Not certain from the listing — The directory listing does not specify built-in guardrails, evaluation frameworks, or logging/observability features to detect anomalous agent behavior or drift.
Not certain from the listing — No explicit mention of enterprise security controls, SOC2 compliance, role-based access control (RBAC), or audit logging is provided in the brief description.
As a platform for building business process agents, it acts as an ecosystem hub. Threats include cascading failures across connected business tools, unauthorized multi-agent interactions, and supply-chain risks from third-party community pieces/integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).