ilert MCP — agentic threat model

Not certain from the listing — The specific underlying LLM is not disclosed. The primary threat is prompt injection or adversarial manipulation of natural-language inputs, which could trick the model into triggering false alerts or suppressing real incidents.

Not certain from the listing — The agent reads alert, incident, and on-call states, but the presence of vector databases or RAG pipelines is unspecified. Unauthorized access to or poisoning of this operational state data represents a key threat.

The agent exposes tools to read and modify incident states and trigger notifications. Framework-level threats include insecure tool integration and tool misuse, where an attacker bypasses intended logic to execute arbitrary escalations.

Not certain from the listing — The hosting environment, network isolation, and API credential storage mechanisms are not detailed. Compromise of the underlying infrastructure could expose sensitive ilert API keys.

Not certain from the listing — There is no mention of real-time guardrails, input/output filtering, or specialized logging to detect anomalous incident-response commands generated by the agent.

Not certain from the listing — The listing does not specify how user identity is mapped to ilert permissions, raising risks of privilege escalation if any user interacting with the agent can trigger global on-call changes.

As an MCP tool, this agent is designed to be called by other host agents. This introduces severe multi-agent trust risks, where a compromised upstream agent could programmatically manipulate on-call schedules or silence active alerts.