Anyrow — agentic threat model

Not certain from the listing — The specific foundation models powering Anyrow are not disclosed. General threat: adversarial prompt injection could hijack the workflow logic, leading to unauthorized tool execution or data exposure.

Not certain from the listing — The mechanism for connecting and caching data from 'multiple data sources' is unspecified. General threat: data exfiltration or unauthorized access to sensitive connected business databases during RAG or synchronization processes.

Confident. The platform uses a low-code/no-code framework to orchestrate complex operational processes and execute business logic. Threat: insecure tool integration or tool misuse where an agent executes unintended API calls across connected business systems due to ambiguous planning.

Not certain from the listing — The hosting environment, sandboxing of agent executions, and secrets management for connected APIs are not described. General threat: exposure of API keys or credentials used to access third-party business systems.

Not certain from the listing — No specific monitoring, logging, or guardrail mechanisms are detailed. General threat: lack of visibility into agent decision-making, leading to undetected operational errors or malicious actions.

Not certain from the listing — The listing does not mention compliance certifications (e.g., SOC 2, GDPR) or specific identity and access management (IAM) controls. General threat: unauthorized users configuring or deploying agents with excessive privileges.

Confident. The platform acts as a centralized hub for managing and orchestrating multiple operational agents. Threat: cascading failures or trust abuse where one compromised agent triggers unauthorized actions across other managed agents in the workflow.