CrescitAI — agentic threat model
CrescitAI presents a moderate-to-high risk profile primarily due to its public-facing voice interface and direct integration with business calendars and CRMs. The main threats involve voice-based prompt injection, unauthorized appointment manipulation, and the exposure of sensitive customer PII collected during automated calls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| 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 — likely relies on third-party speech-to-text, text-to-speech, and LLM APIs. Threats include voice-based prompt injection (vishing/jailbreaking) and model misalignment leading to inappropriate verbal responses.
Not certain from the listing — handles customer PII (names, phone numbers, appointment details). Threats include data exfiltration of call transcripts, poisoning of lead databases, and lack of clear data retention/privacy policies for voice recordings.
Not certain from the listing — orchestrates voice streams and tool calls (calendar/CRM). Threats include insecure tool integration (e.g., SQL injection via lead qualification inputs) and logic flaws in the appointment booking state machine.
Not certain from the listing — requires telephony integration (SIP/VoIP) and hosting for voice processing pipelines. Threats include SIP trunk hijacking, denial of service on phone lines, and insecure storage of API keys for CRM/calendar integrations.
Not certain from the listing — monitoring voice quality and conversational drift is critical. Threats include lack of real-time guardrails to detect and terminate abusive or manipulative calls, and insufficient logging of voice-to-text transcriptions.
Not certain from the listing — must comply with TCPA, GDPR/CCPA (for recording consent and PII), and PCI-DSS if payments are discussed. Threats include unauthorized access to call logs and lack of explicit caller consent mechanisms.
CrescitAI operates primarily as a standalone voice assistant integrated into a business's telephony and CRM, with minimal risk of cascading multi-agent failures, though it connects to the broader Crescita Innovations ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).