Worksaga — agentic threat model
Worksaga is a low-autonomy career assistant whose primary security risk lies in the aggregation of sensitive, potentially proprietary daily work logs and personal career data, making data privacy and IP leakage the dominant threat vectors.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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 commercial LLMs for CV generation and career analysis. Primary threats include prompt injection to manipulate CV output or bypass system instructions to extract underlying templates.
Highly relevant. The agent ingests and stores daily work logs, project impacts, and career histories. This creates a significant risk of corporate IP leakage if users log proprietary employer data, alongside standard risks of data exfiltration or unauthorized access to the user profile database.
Not certain from the listing — likely uses a basic orchestration framework to map user logs to engineering ladders and generate CVs. Vulnerabilities could include insecure state management of user career profiles across sessions.
Not certain from the listing — standard SaaS deployment. Threats include typical web application vulnerabilities, database exposure, and lack of tenant isolation for stored user CVs and work logs.
Not certain from the listing — no evaluation or guardrail mechanisms are mentioned. Gaps could lead to undetected hallucinations in CV generation (e.g., fabricating skills) or inaccurate career trajectory advice.
Highly relevant. Processing personal career data and daily work logs requires strict alignment with GDPR/CCPA. There is a high risk of compliance violations if users inadvertently upload sensitive or contractually protected corporate information.
Not certain from the listing — the agent appears to operate as a standalone horizontal tool with no described multi-agent interactions or external ecosystem integrations.
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.