Extruct AI — agentic threat model
Extruct AI presents a moderate-to-high risk profile primarily driven by its integration with external CRMs and live web-scraping capabilities, which expose it to indirect prompt injection and sensitive data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 — likely relies on third-party foundation models to synthesize company research. The primary threat is indirect prompt injection from untrusted web content scraped during live research, leading to manipulated outputs.
Not certain from the listing — processes live web data and CRM records. Threats include data poisoning from malicious web pages designed to corrupt the research database, and potential data exfiltration of ingested CRM data.
Not certain from the listing — orchestrates multi-step search queries and table enrichment. Insecure tool integration with CRM APIs could allow an attacker to abuse the agent's write permissions via prompt injection.
Not certain from the listing — hosted as a SaaS platform with API access. Key threats include insecure storage of user CRM credentials/API keys and potential container escape if the scraping engine is not properly sandboxed.
Not certain from the listing — no observability or guardrail mechanisms are mentioned. A lack of real-time monitoring for prompt injection or anomalous API activity increases the risk of silent exploitation.
Not certain from the listing — handles sensitive corporate and CRM data but does not explicitly state compliance certifications (e.g., SOC 2, GDPR). Weak access controls on the API could lead to unauthorized data access.
Not certain from the listing — operates primarily as a single-agent utility integrated with external APIs rather than a multi-agent ecosystem, minimizing agent-to-agent trust risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).