Safe on cold start
The auto-execute allowlist ships empty. Every containment action waits for a human until an operator explicitly promotes it — and the promotion is itself audited: who, when, and why.
promote.py add disable_access_key --by alice
Kronagent is a team of AI security agents that triages, investigates and contains threats across AWS, Google Cloud and Kubernetes — governed by a deterministic policy engine, a human approval gate no model can talk its way past, and an immutable audit log.
The gap
They summarise the alert, map it to ATT&CK, write a tidy paragraph — and then hand a human a ticket. The mean time to contain never moves, because nothing was ever allowed to act.
The tools that do act ask you to trust a language model with production credentials on day one. That's not a trust model; it's a leap of faith with an audit log bolted on afterwards.
Advisory tools
Kronagent
Architecture
Every LLM agent is strictly advisory — it enriches the incident record and the human's approval context. Only the deterministic policy engine and the containment layer can cause a side effect.
Trust model
The auto-execute allowlist ships empty. Every containment action waits for a human until an operator explicitly promotes it — and the promotion is itself audited: who, when, and why.
promote.py add disable_access_key --by alice
Actions are classified by reversibility and blast radius. Destructive or wide-blast actions — terminate an instance, delete a pod, scale to zero — are structurally incapable of running unattended. Promote one by mistake and nothing happens: the classification table wins.
Every agent's output schema is built so it cannot express a containment target or action class. Targets always come from normalised finding data — so a prompt-injection payload buried in telemetry has no channel to redirect an action onto an attacker-chosen resource.
Triage, policy, containment, approval, governance, forensics — each is one entry in an append-only, SHA-256-chained log. Editing a past record breaks verification of every record after it.
✓ chain verified — 1,284 records
Behavioural trajectory guard
Kronagent watches its own behaviour over time, not just each action in isolation. When an incident's trajectory starts to look like an agent being steered — escalating blast radius, repeated policy probing, targets drifting away from the originating finding — the run halts itself and routes to a human, mid-incident.
Compliance
Automatic logging and human oversight aren't features we added for a questionnaire — they're the two invariants the whole system is constructed around. Generate the evidence manifest as a command.
python3 run_compliance_report.py --markdown-output rep.md
KRONAGENT_DRY_RUN=true until you decide otherwise. Nothing touches a cloud account on install.
Private preview
We're onboarding a small design-partner cohort — teams running real GuardDuty, SCC or Kubernetes audit volume who want response automation they can actually defend in a review.