Gainify — agentic threat model
Gainify is a low-autonomy financial research assistant whose primary risks stem from potential manipulation of AI-generated investment insights (via prompt injection) and the exposure of sensitive user portfolio or watchlist data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| 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 — likely utilizes commercial LLMs to generate 'breakthrough AI insights' and valuations. These models are susceptible to prompt injection attacks that could manipulate financial recommendations or output biased stock analyses.
Not certain from the listing — ingests institutional-grade portfolio data and user-defined watchlists. Risks include data poisoning of the financial data feeds and unauthorized exfiltration of sensitive user portfolio designs.
Not certain from the listing — likely uses a basic RAG or query-orchestration framework to fetch stock metrics. Vulnerabilities could arise from insecure tool integration if the LLM can construct database queries to retrieve unauthorized financial records.
Not certain from the listing — hosted as a closed-source web application. Standard cloud infrastructure risks apply, with potential exposure of API keys used to fetch institutional financial data.
Not certain from the listing — no public details on guardrails or evaluation metrics to prevent the generation of hallucinated or legally non-compliant financial advice.
Not certain from the listing — as a freemium vertical finance tool, it is unclear if it complies with financial advisory regulations or standard data protection frameworks (e.g., GDPR/SOC2) for user portfolio data.
Not certain from the listing — appears to operate as a standalone vertical application with no multi-agent collaboration or third-party agent 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.