BlandAI — agentic threat model
BlandAI presents a high agentic risk profile due to its ability to autonomously conduct real-time voice calls, integrate with external APIs, and perform live call transfers, making it a high-value target for vishing, social engineering, and unauthorized data access.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.80 | |
| 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.
Utilizes LLMs and TTS/STT models to generate human-like voice interactions. Vulnerable to audio-based prompt injection (voice hacking) and adversarial inputs designed to bypass safety guardrails during live calls.
Processes sensitive customer voice data, custom voice clones, and call transcripts. Risks include unauthorized access to call logs, exfiltration of PII spoken during calls, and potential poisoning of custom voice profiles.
Orchestrates call flows, API integrations, and live call transfers. Vulnerabilities include prompt injection manipulating the agent into executing unauthorized API calls or transferring victims to malicious phone numbers.
Not certain from the listing — likely relies on cloud hosting and telephony gateways. Risks include insecure API endpoints, lack of sandboxing for custom integrations, and potential compromise of telephony infrastructure leading to caller ID spoofing.
Provides real-time call analytics. Gaps may exist in detecting adversarial manipulation or social engineering attempts in real-time, allowing malicious actors to exploit the agent during live conversations without immediate detection.
Not certain from the listing — compliance with telecom regulations (like TCPA, STIR/SHAKEN) and data privacy laws (GDPR/CCPA) for recorded voice data is critical but not detailed in the public directory listing.
Not certain from the listing — while it supports API integrations, there is no explicit mention of a multi-agent marketplace or direct agent-to-agent collaboration protocols that could lead to cascading trust failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).