Table Agent — agentic threat model
Table Agent presents a moderate-to-high risk profile primarily due to its role in processing proprietary business data and its likely execution of data analysis/cleaning code, which could lead to data exfiltration or sandbox escape if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| 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 — likely relies on commercial foundation models optimized for code generation and reasoning. Primary threats include prompt injection that could hijack the data analysis pipeline or leak system prompts.
Not certain from the listing — ingests user-uploaded tabular data and external market research. Threats include data exfiltration of sensitive business intelligence, unauthorized access to other users' uploaded datasets, and data poisoning via malicious CSV/Excel files.
Not certain from the listing — orchestrates data cleaning, visualization, and analysis. If it uses an LLM-in-the-loop to generate and execute Python code (e.g., Pandas) for data manipulation, it faces severe risks of insecure tool integration and arbitrary code execution.
Not certain from the listing — hosted as a closed-source SaaS. The primary infrastructure threat is container escape or privilege escalation if the code execution environment used for tabular data analysis is not strictly sandboxed.
Not certain from the listing — no details on logging, monitoring, or output guardrails. Gaps here could allow silent data corruption during automated cleaning or undetected exfiltration of proprietary market data.
Not certain from the listing — closed-source freemium model with no mentioned compliance certifications (e.g., SOC2, ISO 27001). Risks include lack of tenant isolation, weak access controls, and potential regulatory non-compliance regarding uploaded corporate data.
Not certain from the listing — operates primarily as a standalone assistant. Ecosystem risks are low unless it integrates with third-party market research APIs or data marketplaces, which could introduce supply chain vulnerabilities.
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.