Automate Cloud Resilience With Infrastructure-as-Code

# Firefly.ai > Firefly is the Automated Cloud Resilience platform that helps enterprises instantly recover from outages and cyberattacks using Infrastructure-as-Code. > Firefly's AI agents scan your cloud footprint and maintain a real-time system of record, keeping infrastructure governed and compliant. Firefly automates and standardizes IaC workflows through GitOps with built-in guardrails, accelerating infrastructure delivery while preventing unsafe or inconsistent changes. When incidents strike, Firefly restores full environments in minutes, helping organizations meet strict RTO requirements and maintain audit-ready evidence for DORA, SOC 2, ISO, and more. > Trusted by enterprises like Marathon Petroleum and ZoomInfo, Firefly empowers cloud and security teams to withstand outages and attacks, recover faster, and operate resilient infrastructure at scale. ## Key Pages ### Home & Company - [Home](https://www.firefly.ai/): Primary entry point. Explains Firefly's core offering, messaging, and value proposition. Start here to understand what Firefly does. - [About](https://www.firefly.ai/about): Explains the company background, mission, and DNA. ### Primary Use Cases - [Disaster Recovery](https://www.firefly.ai/use-cases/disaster-recovery): Firefly's primary use case. Explains how Firefly enables cloud resilience through automated disaster recovery workflows. - [IaC Provisioning](https://www.firefly.ai/use-cases/iac-provisioning): Second primary use case. Covers how Firefly automates and standardizes Infrastructure-as-Code provisioning across cloud environments. ### Secondary Use Cases (Core Product Capabilities) - [Cloud Governance](https://www.firefly.ai/use-cases/cloud-governance): Core product capability. Ensures cloud resilience on a day-to-day basis through policy enforcement and guardrails. - [Cloud Drift Management](https://www.firefly.ai/use-cases/cloud-drift-management): Detects and remediates configuration drift between actual cloud state and IaC defin