Governed AI incident response for Kubernetes

Investigate incidents faster. Approve remediation with confidence.

Shieldplane is a self-hosted incident triage and governed remediation platform for Kubernetes environments. It gathers live evidence, produces structured incident analysis, proposes deterministic remediation plans, and drives changes through controlled approval and rollout workflows.

Request a demo See how it works

Self-hosted, security-conscious deployment model
Human approval gates before changes move forward
Deterministic validation instead of free-form AI execution
Clear audit trail from alert to verified rollout

Built for control, not just speed

Shieldplane helps teams accelerate triage without bypassing change review, deployment policy, or operational accountability.

Alert-driven Starts from real production signals

Evidence-based Reads Kubernetes, metrics, logs, and Linux context

Governed Approval and rollout gates stay explicit

Self-hosted Designed for customer-controlled environments

What Shieldplane does

It turns incident pressure into a controlled operational workflow.

Shieldplane is not a chat bot for generic requests. It is a productized runtime for incident triage and governed remediation in Kubernetes-heavy environments.

Live evidence collection

Pulls read-only evidence from Kubernetes, Prometheus, OpenSearch or Kibana-style logs, and Linux systems to establish incident context quickly.

Structured incident reports

Produces consistent reports with evidence, diagnosis, risk notes, rollback paths, and verification guidance instead of free-form output.

Deterministic change plans

Freezes a validated remediation plan with explicit targets, operations, and checks before anything can move toward delivery.

Controlled rollout path

Drives approved plans through review and deployment systems while keeping staging, production, and verification state visible and auditable.

Workflow

One path from alert to verified change.

Shieldplane is designed for operational workflows where evidence, approvals, and delivery need to stay connected.

01Alert arrives in the operator channel

02Evidence is gathered from approved sources

03Structured analysis and remediation proposal are produced

04An operator freezes the plan with `create-change`

05Staging and production approvals remain explicit

06Delivery and verification complete the audit trail

Reference integrations

Connected to the systems operations teams already use.

Shieldplane v1 is intentionally narrow. It focuses on the evidence sources and delivery systems that matter for Kubernetes incident response.

Evidence: Kubernetes, Prometheus, OpenSearch or Kibana-style logs, Linux
Operator channel: Slack
Delivery path: Gerrit and ArgoCD
LLM baseline: OpenAI
Secrets model: Vault CSI first, Kubernetes Secret fallback

Deployment model

Designed for enterprise environments that need control.

Shieldplane is delivered as a self-hosted product with Helm-based installation, trial and license enforcement, and a guided configuration flow for channels, evidence sources, and delivery systems.

Helm chart installation

Vault-based secret injection

License and trial enforcement

Operator-driven approval workflow