Rise — agentic threat model
Rise presents a moderate security risk primarily centered around the handling and processing of high-volume personal identifiable information (PII) within resumes and job seeker profiles, with potential vectors for prompt injection via untrusted job descriptions or resume inputs.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 utilizes third-party LLMs for resume editing and recommendation generation. Primary threats include prompt injection via user-uploaded resumes or external job descriptions, which could manipulate the AI Co-Pilot's behavior.
Not certain from the listing — manages a large database of user resumes and job listings. Vulnerable to data exfiltration of sensitive candidate PII and potential vector database poisoning if malicious job postings are indexed.
Not certain from the listing — orchestrates resume parsing and editing tools. Vulnerable to insecure tool integration, such as PDF/DocX parsing vulnerabilities that could lead to remote code execution during resume ingestion.
Not certain from the listing — deployed as a cloud-hosted web application with API access. Standard web infrastructure risks apply, including API endpoint exposure and potential lack of sandboxing for document processing microservices.
Not certain from the listing — no public details on guardrails or observability. Lack of monitoring could lead to undetected bias in job recommendations or silent failures in the resume editing pipeline.
Not certain from the listing — handles job seeker data for over 3 million users, necessitating strict GDPR/CCPA compliance. Vulnerable to broken object-level authorization (BOLA) if API security is insufficient.
Not certain from the listing — primarily functions as a standalone platform with API access. Minimal multi-agent ecosystem risks, though exposed APIs could be targeted by automated scraping bots.
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.