Autonomous incident response, governed

Incident response that shows its work.

AgentFlex triages Kubernetes incidents the way a careful engineer would: gather evidence read-only, diagnose with a local model, and act only inside deterministic guardrails — with every step recorded in a hash-chained audit log.

Request a walkthrough See the governance model

Patent pending · Runs on your infrastructure · Nothing leaves the box

Deterministic guards

Risk decisions are code, reviewed and versioned — never a model's judgment call. Guardrails change with a commit, not a click.

Read-only by default

Three independent layers — cluster RBAC, tool server flags, and a code-level allowlist — stand between the model and any write.

Hash-chained audit

Every alert, finding, decision, approval, and action is appended to a tamper-evident log. The audit trail is the system of record.

How it works

From alert to resolution, one governed pipeline.

  1. step 1

    Ingest

    An alert arrives from your monitoring stack and opens an incident with a unique, traceable ID.

  2. step 2

    Gather

    The engine collects evidence through read-only tools — cluster state, events, logs, and prior incident history.

  3. step 3

    Mask

    Identifiers and sensitive values are redacted before any context reaches a model.

  4. step 4

    Diagnose

    A local language model proposes a diagnosis and a candidate action. It runs on your hardware; nothing leaves the box.

  5. step 5

    Risk gate

    Deterministic code — never the model — classifies the proposed action into a risk tier and decides what happens next.

  6. step 6

    Act or hold

    Low-risk actions can proceed; anything consequential waits for a human. Every path lands in the audit log.

Governance

Four tiers. One rule: the riskier the action, the more human the decision.

Every proposed action is classified by deterministic code into a risk tier before anything runs. Unknown verbs fail safe — upward, toward more oversight. The tier chart your auditors see is rendered from the same code that enforces it, so documentation can't drift from reality.

T0 No-risk Observations and annotations. May run automatically.
T1 Low-risk Reversible actions with a known rollback. Automation with guardrails.
T2 Conditional Meaningful changes. Human-in-the-loop approval before execution.
T3 Strict Destructive or wide-blast-radius actions. Explicit human sign-off, always.

The most important feature of an autonomous system is the action it refuses to take.

Services

Consulting, grounded in practice.

AgentFlex is built and operated by a senior engineer with 15+ years in DevOps and SRE and a CRISC certification in risk and controls. The same thinking is available for your environment.

AIOps readiness

Assess where automation and AI-assisted triage fit your incident process — and where they shouldn't — before you commit to tooling.

AI governance & risk

Guardrail design, human-in-the-loop workflows, audit trails, and control frameworks for AI systems that touch production.

Kubernetes & platform

Cluster operations, GitOps workflows, and the platform engineering groundwork that reliable automation depends on.