‍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.
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11x

Accelerated IaC Automation

Automatically discover, map, and codify resources across clouds. Firefly's Codification Agent cuts manual IaC creation from days to hours.
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85%

Fewer Cloud Misconfigurations

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

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