Anamap — agentic threat model
Anamap's Cartos agent possesses moderate-to-high risk due to its integration with sensitive business data sources (GA4, Amplitude) and its ability to autonomously push communications via Slack and email, making it a high-value target for data exfiltration and social engineering.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.60 |
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 — No details are provided regarding the underlying foundation models used by Cartos, leaving potential vulnerabilities to model-specific prompt injection or alignment issues unquantified.
Cartos ingests highly sensitive business and product metrics from GA4 and Amplitude, and stores company context over time. This creates a significant risk of data exfiltration or exposure of proprietary growth and business metrics if the data operations layer is compromised.
The agent framework orchestrates multi-step root-cause analysis and tool execution across analytics APIs, Slack, and email. Vulnerabilities here could allow prompt injection to hijack tool calls, leading to unauthorized data queries or spamming of communication channels.
Not certain from the listing — The deployment architecture, hosting environment, credential storage for GA4/Amplitude, and sandboxing mechanisms are not specified in the public directory listing.
Not certain from the listing — There is no mention of real-time guardrails, output verification, or observability logging to detect anomalous queries or hallucinated root-cause analyses before they are sent to stakeholders.
Not certain from the listing — The listing does not cite specific compliance certifications (such as SOC2), identity governance, or fine-grained authorization policies governing who can trigger Cartos to access specific data subsets.
While not a complex multi-agent marketplace, Cartos integrates directly into the human-agent ecosystem via Slack and email workflows, presenting risks of trust abuse where users may implicitly trust executive summaries that have been maliciously manipulated.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).