Rivalz Network — agentic threat model
Rivalz Network presents a high-risk profile due to its decentralized swarm orchestration (ROME) and connection to physical/digital assets via a World Abstraction Layer. The combination of autonomous agent identity management (NOSTRINGS) and decentralized data (OCY DePIN) increases the attack surface for cascading multi-agent failures and unauthorized resource manipulation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.90 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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 listing focuses on infrastructure, connectivity, and data modules rather than specific foundation models. Threats include model misalignment or adversarial manipulation of underlying LLMs used within the VORD application module.
The OCY DePIN (Data Module) manages decentralized data. Key threats include data poisoning of decentralized nodes, provenance gaps across the distributed network, and unauthorized data exfiltration from the DePIN storage layers.
Orchestrated by ROME (Swarm Protocol) and VORD (Application Module). Threats include insecure tool integration via the connectivity module, memory poisoning across the swarm, and malicious prompt injection hijacking autonomous agent planning.
Utilizes ADCS (Connectivity Module) and OCY DePIN. Decentralized hosting and connectivity introduce risks of node compromise, lateral movement across the DePIN network, and insufficient sandboxing of agent execution environments.
Not certain from the listing — No explicit mention of evaluation, monitoring, logging, or guardrails in the core modules. Gaps in observability could lead to undetected rogue swarm behavior and drift in decentralized environments.
Features the NOSTRINGS (Identity Module) to handle agent identity. Threats include identity spoofing, unauthorized agent registration, and the challenge of enforcing consistent security policies across a decentralized blockchain network.
The core of the platform relies on ROME (Swarm Protocol) and the World Abstraction Layer. This creates significant exposure to cascading multi-agent failures, agent-to-agent trust abuse, and rogue agents executing unauthorized actions on physical or digital assets.
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.