Lockedin AI — agentic threat model
LockedIn AI presents a moderate-to-high privacy risk due to its real-time capture of screen, audio, and video inputs during interviews. While its agentic autonomy is low, a compromise of its integration layer could lead to unauthorized surveillance and data exfiltration of sensitive candidate and corporate information.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 'Dual-Layer AI Model' suggests a hybrid or routing LLM setup, but specific foundation models are not disclosed. Risks include prompt injection during live interviews to manipulate answers, or model reprogramming.
Not certain from the listing — It processes real-time audio, video, and code context, but how this data is ingested, stored, or if RAG is used is unspecified. Risks include data exfiltration of sensitive interview questions or proprietary coding challenges.
Not certain from the listing — The orchestration framework for real-time context processing is not detailed. Risks include insecure integration with screen/audio capture tools leading to local privilege escalation or unauthorized data capture.
Not certain from the listing — While listed as 'Open Source', the deployment architecture (local vs. cloud-hosted dual-layer model) is not specified. Risks include insecure local permissions for screen/audio recording or cloud API key exposure.
Not certain from the listing — No mention of real-time guardrails, logging, or output evaluation. Risks include generating hallucinated or plagiarized code/answers without user-facing warnings.
Not certain from the listing — No compliance certifications (e.g., SOC2, GDPR) or explicit data privacy policies for audio/video recording are mentioned. Risks include violating interview platform terms of service or recording consent laws.
The agent operates as a standalone local/web assistant for a single user and does not interact with an external multi-agent ecosystem or marketplace.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.