Infrabase

Product Introduction

1. Infrabase is a cloud management platform that integrates with GitHub to analyze infrastructure code and organizational patterns during development cycles. It uses AI-powered scanning to detect security vulnerabilities, cost inefficiencies, and policy violations before cloud deployment. The system operates as a DevOps agent within pull requests, providing pre-deployment risk assessments.
2. The core value lies in preventing operational failures by combining code analysis with business-specific context, such as in-house modules and deployment patterns. It transforms cloud governance into a proactive process through natural-language policy definitions and real-time PR reviews.

Main Features

1. Infrabase automatically flags deviations from organizational infrastructure patterns by analyzing Terraform, CloudFormation, and Kubernetes manifests against learned architectural baselines. This includes detecting unapproved cloud services or non-compliant resource configurations.
2. Users define policies through Markdown documents interpreted by NLP engines, eliminating the need for Open Policy Agent (OPA) Rego syntax. Rules like "Block S3 buckets without encryption" or "Alert on EC2 instances exceeding $500/month" are enforceable without code compilation.
3. Every pull request receives a risk score quantifying security exposure, cost impact (30-day projection), and blast radius (affected dependencies). The system integrates Claude/Gemini/OpenAI models to generate actionable checklists, with optional merge blocking for critical violations.

Problems Solved

1. Traditional cloud governance tools fail to account for organizational context, leading to false positives and overlooked company-specific anti-patterns. Infrabase solves this by learning from existing infrastructure codebases and deployment histories.
2. The product targets cloud engineering teams managing multi-account AWS/GCP/Azure environments, particularly those with compliance requirements like SOC2 or HIPAA. Security engineers and FinOps practitioners benefit from unified policy enforcement.
3. Typical scenarios include preventing IaC misconfigurations in CI/CD pipelines, enforcing tagging standards for cost allocation, and blocking high-risk changes during peak business hours. It also audits third-party Terraform modules against internal security baselines.

Unique Advantages

1. Unlike generic CSPM tools, Infrabase performs semantic analysis of infrastructure-as-code (IaC) before runtime, reducing cloud drift incidents by 83% according to internal benchmarks. Competitors lack the contextual learning of organizational patterns.
2. The patent-pending "Embedded Context Engine" creates vector representations of infrastructure code without storing sensitive data, enabling pattern recognition across distributed repositories. This differs from static analysis tools that require full codebase access.
3. Competitive differentiation includes support for multiple LLM providers (AWS Bedrock, Anthropic, OpenAI) with custom model chaining, allowing enterprises to maintain AI governance while benefiting from AI-assisted reviews. The system requires no code changes for integration.

Frequently Asked Questions (FAQ)

1. Does Infrabase store my code? Infrabase processes code through ephemeral containers that generate embeddings, permanently deleting source files after analysis. Only numerical representations of code patterns are stored in encrypted databases, with zero retention of raw IaC files.
2. Does Infrabase share my code with model providers? LLM interactions use abstracted code patterns rather than direct code submissions. For OpenAI/Gemini integrations, prompts contain only violation contexts and policy excerpts, never full file contents. Bedrock deployments keep all data within your AWS account.
3. What compliance certifications does Infrabase maintain? The platform is SOC2 Type 2 compliant and processes all data under GDPR frameworks. Audit logs track policy changes and code access events, with optional integration to SIEM systems like Splunk or Datadog for compliance reporting.