SiliconBridge — agentic threat model
SiliconBridge acts as a high-risk utility that allows AI agents to bypass critical security boundaries (CAPTCHAs, 2FA, KYC) via human-in-the-loop routing. If compromised or abused, it serves as a centralized vector for identity theft, credential stuffing, and automated security evasion across the agent ecosystem.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.90 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.40 |
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 — SiliconBridge functions primarily as an API and routing service rather than hosting or training its own foundation models, though it supports LLM discovery via llms.txt.
Not certain from the listing — The platform processes highly sensitive data including KYC documents, phone numbers, and OTP tokens, but details regarding data retention, encryption at rest, or vector store security are not specified.
SiliconBridge integrates directly with agent frameworks via the Model Context Protocol (MCP) Registry and streamable HTTP transport. The primary threat is tool misuse, where malicious agents leverage these integration endpoints to programmatically bypass authentication barriers.
Not certain from the listing — The service utilizes streamable HTTP transport and webhook callbacks, but the underlying hosting environment, sandboxing of human-agent interactions, and secret management for API keys are not detailed.
Not certain from the listing — While webhook callbacks notify clients of task completion, there is no mention of security monitoring, audit logging of human solvers, or guardrails to detect when the service is being used for illicit account takeovers.
The platform handles highly regulated processes like KYC identity verification and Google My Business verification, yet the listing lacks mention of compliance certifications (e.g., SOC2, ISO 27001) or data privacy controls (e.g., GDPR) for handling sensitive PII.
High exposure in the agent ecosystem due to native support for the A2A protocol, llms.txt discovery, and the MCP registry. This allows rogue or compromised agents to dynamically discover and abuse SiliconBridge to solve CAPTCHAs and bypass 2FA at scale.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).