Wayfound — agentic threat model

Not certain from the listing — Wayfound is an observability platform rather than a foundation model provider, but it likely utilizes LLMs internally to analyze agent behavior and alignment, exposing it to prompt injection or misaligned evaluation outputs.

Not certain from the listing — The platform ingests and stores extensive telemetry, logs, and feedback data from monitored agents. This data pipeline is vulnerable to log injection, data exfiltration of sensitive agent conversations, and poisoning of the feedback loops.

Not certain from the listing — While Wayfound monitors other agent frameworks, its own internal orchestration for generating alignment recommendations and processing real-time feedback loops is not detailed, presenting potential risks of insecure tool integration with monitored agents.

Not certain from the listing — As a closed-source, paid SaaS technology, it requires secure hosting and secrets management to store API keys for monitored agents, but specific infrastructure sandboxing or network isolation details are not provided.

Wayfound's core capability is evaluation and observability. Threats include blind spots where malicious agent behavior evades detection, evaluation gaming by compromised agents, and the risk of attackers tampering with telemetry to hide unauthorized agent actions.

Not certain from the listing — The directory listing does not mention specific compliance certifications (e.g., SOC2, ISO 27001) or role-based access controls (RBAC) governing who can modify alignment policies or view sensitive agent logs.

Wayfound explicitly supports agent-to-agent collaboration and multi-agent monitoring. A compromise at this layer could lead to cascading failures across the monitored ecosystem, trust abuse where a rogue agent feeds malicious telemetry to Wayfound, or lateral movement across connected agent systems.