Inferable — agentic threat model

Not certain from the listing — Inferable acts as a control plane and runtime orchestrator but does not specify native foundation models, meaning model-level threats (poisoning, alignment) depend entirely on the external LLMs integrated by the developer.

Not certain from the listing — While the platform guarantees that sensitive data remains within the user's infrastructure, specific details regarding vector database integrations, RAG pipelines, or data lineage controls are not explicitly defined.

Inferable's core value proposition is its distributed tool calling architecture. This introduces significant risks of tool misuse, injection attacks via tool arguments, and orchestration vulnerabilities, though separating runtime from execution helps isolate failures.

Strong security posture at this layer due to on-premise execution and private networking requiring no inbound connections. This significantly reduces the external attack surface and mitigates lateral movement risks from external actors.

Features built-in observability and monitoring tools, which directly address the threat of logging gaps and blind spots, enabling developers to audit tool execution and detect anomalous agent behavior in real-time.

Addresses compliance and data privacy through Sentinel integration (Enterprise tier) and on-premise data residency, allowing organizations to maintain strict governance over LLM interactions.

Not certain from the listing — The platform focuses on developer-defined tool calling and execution rather than an open multi-agent ecosystem or marketplace, meaning cascading agent-to-agent trust threats are minimal unless custom-built by the developer.