Budibase — agentic threat model
Budibase presents a high-impact risk profile due to its deep integration with internal databases, business systems, and communication channels, allowing agents to execute write actions and route approvals. While its support for structured approval workflows provides a critical human-in-the-loop mitigation, unauthorized access or prompt injection could lead to significant data manipulation or exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.30 | |
| 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 specific foundation models used by Budibase are not detailed, but the platform likely integrates with external LLM providers via API, exposing it to standard prompt injection, model reprogramming, and misaligned output risks.
Budibase connects directly to business systems, databases, spreadsheets, and internal data tables. This creates a high risk of data exfiltration, unauthorized database queries, or knowledge-base poisoning if malicious inputs are processed by the agents.
The platform orchestrates agents alongside workflow automations and app building. Vulnerabilities here include tool misuse (e.g., unauthorized record creation or approval routing) and insecure integration of external APIs and communication tools like Slack or Teams.
Budibase offers both managed cloud and self-hosted options. Self-hosted deployments run the risk of container compromise, privilege escalation, and lateral movement within the self-hosted network if the host environment is not properly sandboxed.
Not certain from the listing — Specific observability, logging, and guardrail frameworks are not detailed, which could lead to blind spots in detecting anomalous agent behavior or prompt injection attempts.
Not certain from the listing — While Budibase supports approval workflows, the listing does not explicitly detail its fine-grained role-based access control (RBAC), identity management, or compliance certifications (e.g., SOC2, ISO).
Not certain from the listing — Although Budibase allows building multiple agents and automations, it is unclear if it supports autonomous agent-to-agent (A2A) trust relationships or a marketplace that could introduce rogue third-party agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).