runway gen 5 — agentic threat model
Runway Gen-5 is a specialized generative video tool with minimal agentic risk, characterized by low autonomy and planning. Its primary security concerns center on model-level vulnerabilities, such as safety filter bypasses for deepfakes or copyright issues, rather than autonomous system compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.90 |
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.
The core of the service is a proprietary text-to-video and image-to-video foundation model. Primary threats include adversarial prompt injection to bypass safety filters, model stealing of proprietary weights, and the generation of mis-aligned or harmful outputs (e.g., deepfakes, misinformation, or explicit content).
Not certain from the listing — details about training data ingestion, storage of user-uploaded images, or vector databases are not provided. General threats include the potential exfiltration of user-uploaded source images and intellectual property/copyright infringement risks associated with the training dataset.
Not certain from the listing — there is no evidence of an agentic orchestration framework, planning loops, or tool-calling capabilities. The system operates primarily as a direct inference pipeline, meaning traditional agentic threats like tool misuse or recursive loop exploitation are likely absent.
Not certain from the listing — hosting, sandboxing, and infrastructure details are omitted. General threats include GPU resource exhaustion (Denial of Service) due to the high computational demands of video generation, and standard web application vulnerabilities in the user portal.
Not certain from the listing — input/output guardrails and monitoring systems are not detailed. General threats include blind spots in content moderation filters, allowing users to generate policy-violating video content through clever prompt engineering.
Not certain from the listing — compliance certifications (such as SOC2, ISO 27001, or GDPR alignment) are not mentioned. General threats include unauthorized access to paid/turbo tier accounts and lack of clear data retention policies for user-uploaded media.
Not certain from the listing — Runway Gen-5 is described as a standalone SaaS tool with no multi-agent or marketplace integrations. Ecosystem threats are currently negligible unless integrated into external automated workflows.
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.