Firefly Ai

Why Teams Choose Firefly AI

Firefly AI Agents don't just automate — they understand your cloud, and deliver measurable gains in velocity, reliability, and compliance across every IaC workflow.

11x

Accelerated IaC Automationing

Automatically discover, map, and codify resources across clouds. Firefly's Codification Agent cuts manual IaC creation from days to hours.

85%

Fewer Cloud Misconfigurations

AI detects and fixes drift, policy violations, and misconfigs before they reach production, reducing incident noise by over 80%.

70%

Enhanced Change Approvals

The Plan Implications engine interprets Terraform plans, summarizes risk in plain English, and enforces guardrails automatically, shrinking review cycles to minutes.

6x

Faster Recovery Time

SRE and DR Agents automate root-cause analysis and recovery sequencing, improving MTTR by up to 50% and ensuring full compliance.

100%

Integrated Workflows

The MCP Server connects Firefly with AI-native tools like Claude and Cursor, enabling safe, natural-language cloud management within your existing stack.

Agentic CloudOps

Agentic Codification

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Discovers unmanaged and third-party resources across clouds, mapping dependencies and relationship to create a unified system of record.

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Generates and standardizes IaC for unmanaged assets and supports self-service IaC via prompts.

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Enables cross-provider migrations across AWS, Azure, GCP, and OCI with full contextual translation.

AI Remediation for Policy Violations and Drifts

Drift Remediation & Reconciliation

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Detects drift between IaC and live state, generating safe Terraform or CLI fixes while avoiding false positives or breaking changes.

Policy Violation Remediation

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Automatically resolves policy violations with precise fixes tailored to provider and configuration, aligned with compliance frameworks and prioritized by cost and risk.

MCP Server

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Connects Firefly with AI-native environments like Claude and Cursor through secure, governed APIs.

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Operates agentically within AI tools, interpreting developer actions, understanding infrastructure context, and autonomously surfacing Firefly's capabilities (codification, drift detection, governance checks) directly in the workflow.

Plan Implications Engine

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Plan & Guardrail Analysis: Interprets Terraform and OpenTofu plans, explains violations in plain English, and suggests standards-aligned fixes.

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Context-Aware Foresight: Predicts the impact of potential changes (scale-ups, migrations, or re-architectures) factoring dependencies, drift, and governance rules.

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Prescriptive Guidance: Summarizes risks like misconfigs, cost overruns, compliance gaps and provides prioritized, actionable next steps. Prevents overspending and policy gaps early with shift-left FinOps.

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Policy-as-Code: Enables natural-language policy generation (OPA/Rego).

Disaster Recovery Agent

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End-to-End Resilience: Codifies infrastructure for seamless redeployment across regions and accounts, captures live snapshots, and provides readiness scoring for fast, reliable recovery.

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AI Recovery: Models recovery scenarios, predicts data-loss risks, and prioritizes recovery based on business criticality, ensuring compliance with SOC 2, ISO 27001, and DORA.

Coming Soon

SRE Agent

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Proactive & Context-Aware: Tracks SLOs and SLAs, detects anomalies early, correlates signals across infrastructure and applications, and pinpoints root causes.

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Agentic Remediation: Automates fixes beyond alerts, reducing toil and MTTR.

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Built for Modern Complexity: Handles microservices, Kubernetes, and hybrid platforms with enterprise-grade resilience.