Coinrule — agentic threat model

Not certain from the listing — Coinrule is described as using deterministic 'If-This-Then-That' logic and indicators rather than LLMs; foundation model threats like prompt injection or model poisoning are likely not applicable unless LLMs are used for rule generation.

Not certain from the listing — The platform processes real-time market data feeds and user portfolio balances, but there is no indication of vector databases or RAG operations. The primary data threat is the poisoning or manipulation of market data feeds used to trigger rules.

Not certain from the listing — The orchestration relies on a deterministic rule engine rather than an LLM agent framework. The primary threat at this layer is logic flaws in rule execution or unauthorized modification of user-defined trading rules.

Not certain from the listing — As a web-based platform executing trades, secure hosting and robust secrets management for user exchange API keys are critical. A compromise here could lead to mass theft of API credentials and unauthorized trading.

Not certain from the listing — While the platform must monitor rule execution and trade outcomes, the listing does not detail specific security observability, anomaly detection for erratic trading behavior, or guardrails against market manipulation.

Not certain from the listing — Secure API key management (e.g., restricting permissions to trade but preventing withdrawals) and user authentication (2FA) are vital, but specific compliance certifications or security frameworks are not detailed.

Not certain from the listing — There is no mention of a multi-agent ecosystem or collaborative agent interactions, though the platform interacts directly with external exchange ecosystems (Binance, Coinbase Pro, Kraken).