Lexi — agentic threat model
Lexi presents a high-risk profile due to its direct integration with Meta Ads APIs, enabling automated budget spending, ad creation, and campaign optimization. A compromise could lead to unauthorized financial expenditure, brand damage, and distribution of malicious ad campaigns.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| 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 — The specific foundation models used for multi-language text generation and image creation are not disclosed, leaving potential vulnerabilities to prompt injection, adversarial image generation, or model-specific biases unquantified.
Not certain from the listing — Details regarding how SMB ad performance data, customer inputs, and generated assets are stored, partitioned, or protected against data poisoning and exfiltration are omitted.
Lexi orchestrates ad creation, monitoring, and optimization by interfacing directly with Meta's APIs. Insecure tool integration or prompt injection could allow unauthorized budget allocation, modification of active campaigns, or generation of fraudulent ads.
Not certain from the listing — The hosting infrastructure (presumably cloud-based SaaS by Sandwich Lab) and secrets management practices for securing sensitive Meta API OAuth tokens are not described.
Not certain from the listing — While the agent performs 'continuous management' and monitoring of ads, it is unclear if there are security-specific guardrails, anomaly detection for budget spikes, or logging mechanisms to detect adversarial manipulation.
Not certain from the listing — No compliance certifications (e.g., SOC2, ISO 27001) or explicit access control policies governing how Sandwich Lab manages multi-tenant SMB credentials are provided.
Not certain from the listing — The agent operates within the broader Meta ecosystem (Facebook/Instagram), but there is no indication of multi-agent collaboration or marketplace-level trust boundaries.
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.