Promptables — agentic threat model
Promptables presents a moderate-to-high risk profile due to its integration into automated build processes (FLOW) and direct code modification capabilities (PATCH), which could be leveraged for supply chain attacks if the agent is compromised or manipulated via prompt injection.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| 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 LLMs (such as GPT-4 or Claude) for code generation and prompt engineering. Risks include prompt injection bypassing LENS quality controls or generating insecure code.
Not certain from the listing — likely ingests user codebases, prompts, and design requirements. Risks include exposure of proprietary IP or code leakage if data operations are insecure.
The agent orchestrates prompt generation, code scanning (LENS), patching (PATCH), and build integration (FLOW). Risks include insecure tool execution where malicious code inputs hijack the patch/build tools.
Not certain from the listing — likely hosted as a SaaS platform with API integrations. Risks include insecure storage of developer API keys or repository access tokens.
Not certain from the listing — LENS acts as an internal quality control tool for AI-generated code, but broader system-level guardrails or logging of LLM inputs/outputs are not detailed.
Not certain from the listing — no security certifications (e.g., SOC 2) or compliance frameworks are mentioned despite handling sensitive source code.
Not certain from the listing — primarily functions as a vertical developer toolset; no explicit multi-agent marketplace or third-party agent integrations are described.
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.