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RESILANT.AI

AI-driven automation platform built for SREs—auto-triage alerts, surface root causes, and run audited fixes to shrink on-call load and turn ops knowledge into living runbooks.
SRE automationAI ops triagealert root-cause analysisaudited auto-remediationKubernetes self-healing

Features of RESILANT.AI

End-to-end automation from alert to recovery—triage, root-cause and fix in one flow
Generates root-cause hypotheses and repair steps from metrics, configs and past incidents
Safe read-only checks first—non-destructive probes validate or rule out each hypothesis
Governed execution with approval gates, least-privilege roles, rate limits and staged rollback
Full audit trail—every action is logged with evidence for instant compliance reports
Continuous learning—auto-updates runbooks and post-mortem drafts as new fixes succeed
Plug-and-play integrations: Datadog, Prometheus, PagerDuty, Slack, Grafana, CloudWatch, New Relic
Flexible deployment: SaaS connector, VPC, air-gapped or on-prem in minutes
Hybrid AI stack—proprietary + external models for transparent, explainable incident resolution

Use Cases of RESILANT.AI

Night-shift SRE gets an alert—let the bot triage and pre-diagnose so you go back to sleep
Before/after risky changes, run read-only sanity checks then trigger an approved, governed fix
Drafting runbooks? Auto-generate step-by-step procedures from past incidents
K8s cluster misbehaving—surface hypotheses from live observability and fix step by step
Regulated environments—deploy inside VPC or air-gapped networks with full audit compliance
Feed AI triage cards and fix suggestions straight into PagerDuty and Slack workflows
Pilot low-risk scenarios first, then expand automation coverage as confidence grows

FAQ about RESILANT.AI

QWhat is RESILANT.AI?

An AI automation platform purpose-built for SREs that triages alerts, finds root causes, executes audited fixes and turns tribal knowledge into up-to-date runbooks—keeping humans in the loop.

QHow do I connect it to my existing monitoring stack?

Use native integrations for Datadog, Prometheus, Grafana, CloudWatch, New Relic, PagerDuty and Slack. The platform ingests metrics, traces, logs and alerts to build context for every incident.

QDoes it support safe read-only validation and governed execution?

Yes. Every fix starts with non-destructive probes, then proceeds only through approval gates with least-privilege tokens, rate limits and staged rollback—full audit log included.

QWhat deployment options are available?

Cloud connector for instant SaaS, or full VPC/air-gapped and on-prem installs for regulated networks—no external connectivity required.

QIs there a trial or pricing?

14-day full-feature trial (no credit card). Tiered pricing: Team and Enterprise plans; enterprise adds custom models, higher inference quota and dedicated support.

QWho owns the generated code and how is data handled?

You retain ownership of all generated scripts and configs. Privacy mode prevents customer data from model training; VPC deployments keep everything in your perimeter.

QWhich teams should use RESILANT.AI?

Ideal for SRE, Platform Ops and DevOps teams that need to cut alert noise, speed up root-cause analysis and run audited, repeatable fixes.

QWhat governance should we put in place?

Start with low-risk scenarios, require human approval, define clear RBAC and rollback plans, and validate data quality from integrated tools before expanding scope.

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