Alora — agentic threat model
Alora's primary risk lies in its autonomous telephony capabilities, where prompt injection or model hijacking could enable automated, high-fidelity voice phishing (vishing), toll fraud, or severe brand damage with minimal real-time oversight.
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 | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.50 | |
| 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.
Not certain from the listing — likely relies on third-party LLMs combined with TTS/STT models. Vulnerable to voice-based prompt injection (jailbreaking via spoken audio) and adversarial audio inputs that could manipulate agent behavior during a live call.
Not certain from the listing — processes and stores call transcripts, summaries, and user-defined prompts. Risks include the accidental capture and insecure storage of sensitive PII or financial data spoken by customers during calls.
Orchestrates conversational flows based on user-defined call prompts. Vulnerable to prompt-deviation attacks where a human callee manipulates the agent into agreeing to unauthorized terms, discounts, or executing unintended tasks.
Not certain from the listing — requires integration with telephony/VoIP infrastructure. Risks include SIP trunk hijacking, toll fraud, and exposure of API credentials used to connect to telecom providers.
Provides post-call summaries, but real-time guardrails and live call monitoring are not detailed. This creates a significant observability blind spot where harmful or brand-damaging interactions are only detected after the call has concluded.
Not certain from the listing — outbound automated calling is heavily regulated (e.g., TCPA in the US, GDPR/ePrivacy in Europe). The listing does not specify compliance mechanisms for call recording consent, opt-outs, or automated dialing restrictions.
Supports simultaneous multi-agent deployment (with B2B coming soon). This introduces risks of coordinated or cascading call campaigns, where compromised or misconfigured agents could flood targets or cross-communicate in unintended loops.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).