RepuAI Live — agentic threat model
RepuAI Live is a low-risk, read-only monitoring and analytics agent focused on tracking brand visibility across AI search engines. Its primary security risks are indirect prompt injection from scraped AI search outputs and standard SaaS data exposure, rather than autonomous action or system compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 external LLMs to parse and summarize search results. The primary threat is indirect prompt injection, where malicious content indexed by AI search engines (like ChatGPT or Perplexity) is processed by RepuAI's parsing models, potentially leading to system manipulation or skewed analytics.
Not certain from the listing — stores historical brand tracking data, search queries, and analytics. Threats include unauthorized access to proprietary brand monitoring keywords or competitive intelligence data stored within the platform's database.
Not certain from the listing — likely uses a basic orchestration framework to schedule and execute queries to external AI search engines. Threats include insecure tool integration if the scraping or API querying mechanisms are vulnerable to SSRF or injection via manipulated search queries.
Not certain from the listing — hosted as a closed-source SaaS platform. Threats include standard web application vulnerabilities, container compromise, or exposure of API keys used to query external AI search engines.
Not certain from the listing — likely has basic application logging but lacks advanced LLM-specific guardrails. Gaps in detecting drift or sudden changes in external AI engine response formats could lead to inaccurate analytics and reporting.
Not certain from the listing — closed-source freemium tool with no explicit compliance certifications (like SOC2) mentioned. Risks include lack of audit trails for user queries and potential data privacy issues if tracking personal brand data.
Not certain from the listing — operates primarily as a standalone horizontal tool querying external AI search engines. No direct multi-agent orchestration or marketplace interactions are described, minimizing ecosystem-specific risks.
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.