Elastic elasticsearch-authz — agentic threat model
This agent skill possesses high-risk potential as it directly modifies security-sensitive Elasticsearch access-control configurations. A compromise or LLM misbehavior could result in unauthorized privilege escalation, data exposure, or complete cluster compromise due to the lack of built-in guardrails in the listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the underlying LLM is not specified, but risks include prompt injection leading to the generation of overly permissive RBAC policies or unauthorized privilege escalation.
Not certain from the listing — no explicit RAG or vector store is mentioned, but if it reads cluster metadata or schema to generate roles, data poisoning of index names could lead to incorrect privilege scoping.
The skill orchestrates the modification of security-sensitive access-control configurations. Threats include insecure tool integration where the agent executes raw Elasticsearch API calls without sufficient validation, leading to unauthorized policy changes.
Not certain from the listing — the hosting environment of the agent is unspecified, but a compromise of its deployment infrastructure could expose high-privilege Elasticsearch credentials used to modify RBAC.
Not certain from the listing — there is no mention of guardrails or real-time monitoring of the generated RBAC configurations, creating a blind spot for unauthorized or drift-inducing policy changes.
Directly addresses identity and authorization by defining roles and privileges. The primary threat is the violation of the principle of least privilege if the agent misconfigures RBAC, failing compliance standards like SOC2 or ISO 27001.
Not certain from the listing — while designed as an Elastic Agent Skill, interactions with other agents are not detailed; however, a compromised upstream agent could abuse this skill to escalate its own cluster privileges.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).