CapiBot — agentic threat model
CapiBot is a highly agentic orchestration platform designed to scale from single assistants to autonomous multi-agent company operations. Its extensive toolset (43+ tools) and multi-agent coordination capabilities present a high-risk profile due to potential cascading failures and agent-to-agent trust abuse in an unverified environment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.90 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.70 |
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 the 280+ pre-configured agents are not disclosed. Threats include model reprogramming and prompt injection that could bypass orchestration-level instructions.
Not certain from the listing — The platform's data storage, vector database integrations, and RAG pipelines are not detailed. Threats include data exfiltration or knowledge-base poisoning across shared agent memories.
With 43+ integrated tools and 600+ skills, the orchestration framework is highly complex. Threats include insecure tool integration, tool misuse, and malicious input propagation across multi-step agent workflows.
Not certain from the listing — The hosting environment, sandboxing mechanisms for tool execution, and secrets management are not specified. Threats include container escape or lateral movement if tools run with excessive privileges.
Not certain from the listing — There is no mention of built-in guardrails, real-time monitoring, or logging of agent actions. Threats include blind spots in tracking complex, multi-agent autonomous operations.
Not certain from the listing — No security compliance standards (such as SOC2 or ISO 27001) or role-based access controls (RBAC) are mentioned. Threats include unauthorized access to the orchestration dashboard, compromising all connected business workflows.
The platform explicitly acts as a multi-agent ecosystem designed for 'autonomous company operations'. Threats include agent-to-agent trust abuse, cascading failures where one compromised agent infects others, and rogue agent behavior within the orchestration network.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).