Instacrops — agentic threat model
Instacrops acts primarily as an advisory agent, but its integration with critical agricultural IoT, satellite, and equipment data means compromised recommendations could lead to severe real-world consequences, such as crop failure or massive water waste.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
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 proprietary or fine-tuned LLMs to power the 'virtual agronomist' interface. Risks include prompt injection or adversarial manipulation that could trick the model into giving harmful agricultural advice.
Ingests real-time data from field sensors, weather APIs, satellites, and farm equipment. Highly vulnerable to data poisoning, where spoofed sensor inputs or manipulated weather feeds lead to disastrous irrigation and nutrition recommendations.
Not certain from the listing — likely uses custom orchestration to parse multi-source data and generate recommendations. Vulnerabilities could include insecure tool integration when querying external weather or satellite APIs.
Not certain from the listing — deployed via mobile apps and cloud infrastructure to support Latin American farms. Risks include unauthorized API access to the IoT backend and lack of sandboxing for data ingestion pipelines.
Not certain from the listing — no details on observability, drift detection, or guardrails to prevent anomalous agronomic recommendations. A lack of monitoring could allow silent failures in recommendation logic to persist unnoticed.
Not certain from the listing — closed-source product with no explicit security certifications (e.g., SOC2) or data privacy compliance details mentioned. Risks involve unauthorized exposure of proprietary farm yield and operational data.
Not certain from the listing — operates as a standalone virtual advisor with no explicit multi-agent or marketplace interactions 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.