AutoLaunched — agentic threat model
AutoLaunched presents a moderate risk profile as an automated submission agent; its primary threats stem from outbound web interactions (form filling/APIs) and the handling of sensitive startup credentials or intellectual property without documented security guardrails.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.10 | |
| 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 uses standard LLMs to generate or adapt startup descriptions for different directory requirements, exposing it to prompt injection that could alter submission content.
Not certain from the listing — stores startup metadata, pitch decks, and potentially directory account credentials, making data exfiltration or unauthorized access a key risk.
Not certain from the listing — orchestrates multi-step form-filling and API submission workflows; vulnerabilities here could lead to tool misuse or submission hijacking.
Not certain from the listing — requires outbound internet access to interact with diverse external directories, raising risks of SSRF or dynamic IP blocking if abused.
Not certain from the listing — requires robust logging to track submission success/failure and detect if the agent is being rate-limited or flagged as spam.
Not certain from the listing — closed-source workflow with no mentioned compliance certifications (e.g., SOC2) or explicit user-consent gates before final directory submission.
Not certain from the listing — interacts with external directory ecosystems and APIs, but does not appear to coordinate with other autonomous agent networks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).