WorkerGen — agentic threat model
WorkerGen is an open-source business automation agent with a moderate risk profile, primarily driven by its potential integration with business tools to automate repetitive tasks without explicit built-in security controls mentioned in its public listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 WorkerGen are not disclosed, leaving potential vulnerabilities to model-specific prompt injection or alignment issues unverified.
Not certain from the listing — there is no information regarding how WorkerGen handles business data, whether it utilizes vector databases, or how it prevents data exfiltration and knowledge-base poisoning.
Not certain from the listing — while designed to automate repetitive business tasks, the underlying orchestration framework, tool-calling mechanisms, and memory management are not detailed.
Not certain from the listing — being open-source suggests self-hosting is possible, but the listing does not specify default deployment environments, sandboxing, or secrets management practices.
Not certain from the listing — no logging, monitoring, evaluation frameworks, or guardrails are mentioned to detect anomalous agent behavior or drift.
Not certain from the listing — there are no details on access control, authentication, or compliance standards (such as SOC2 or GDPR) implemented within the platform.
Not certain from the listing — although the description refers to 'agents' in the plural, it is unclear if they interact in a multi-agent ecosystem or if there are protections against cascading agent-to-agent failures.
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.