Claygent — agentic threat model
Claygent presents a moderate-to-high risk profile primarily driven by its autonomous web-scraping capabilities, which expose it to indirect prompt injection and SSRF vulnerabilities when processing untrusted third-party web content.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| 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 — The underlying LLMs are unspecified. A key threat is indirect prompt injection, where malicious instructions embedded in scraped websites hijack the model's behavior during research tasks.
Not certain from the listing — The agent processes scraped web data and user-provided prospecting lists. Threats include data poisoning from malicious websites and potential exfiltration of sensitive CRM or business intelligence data.
Not certain from the listing — The orchestration framework is proprietary. Threats include insecure tool integration where the web-scraping tool is manipulated into performing unintended actions or executing malicious scripts.
Not certain from the listing — Hosted on Clay's infrastructure. The primary threat is Server-Side Request Forgery (SSRF) if the agent's web-scraping mechanism can be coerced into scanning internal network resources.
Not certain from the listing — Observability features are not detailed. Gaps in logging could allow stealthy indirect prompt injections or data exfiltration attempts to go unnoticed.
Not certain from the listing — Compliance controls are not specified. Scraping personal data of individuals for sales prospecting poses significant GDPR, CCPA, and data privacy compliance risks.
Not certain from the listing — The agent integrates with the broader Clay ecosystem and external CRMs. Threats include cascading data corruption or unauthorized data modification in connected downstream systems like Salesforce or HubSpot.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).