Agenta — agentic threat model

Not certain from the listing — Agenta is model-agnostic and acts as a playground/management layer rather than hosting its own foundation models. Threats include adversarial prompt injection during playground testing or model-as-a-judge manipulation.

Not certain from the listing — Agenta manages evaluation datasets and prompt configurations, but does not directly manage primary vector databases or production RAG data stores. Threats include poisoning of evaluation datasets or prompt injection in test suites.

Agenta provides prompt management, playground, and evaluation frameworks. Threats include insecure integration of custom evaluation code (RAG evals, custom code) which could lead to remote code execution if untrusted code is executed.

Not certain from the listing — Agenta is open-source and can be self-hosted or cloud-hosted. Threats include container compromise, unauthorized access to stored LLM API keys, and insecure hosting environments.

This is Agenta's core strength. It provides LLM observability, tracing, and automatic evaluation (LLM-as-a-judge). Threats include blind spots in tracing, evasion of LLM-as-a-judge metrics, and manipulation of observability logs to hide malicious activity.

Not certain from the listing — The listing does not detail specific RBAC, audit logging, or compliance certifications (like SOC2) for prompt management and deployment.

Not certain from the listing — Agenta focuses on single LLM application development and LLMOps rather than orchestrating a multi-agent marketplace or ecosystem.