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STRIDE Detection AI Analysis Multi-Cloud Support
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Complete Attack Surface Discovery for Cloud Applications

Scan both Infrastructure as Code and application source code to identify security vulnerabilities before they reach production. STRIDE-based analysis across IaC configurations and 25+ programming languages with optional AI-powered remediation.

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Why ThreatMitigator?

Complete attack surface visibility from infrastructure to application code

Blazing Fast

Scan 10,000 lines of code per second. Analyze entire microservices in under 10 seconds.

Dual Scanning

IaC + source code analysis. Find threats in both infrastructure and application layers.

25+ Languages

JavaScript, Python, Java, C#, Go, Rust, and 20+ more languages supported.

Multi-Cloud

Single tool for AWS, Azure, GCP, OCI, and Alibaba Cloud.

Enterprise-Grade Threat Detection

Comprehensive security analysis across all six STRIDE categories

Core Feature

STRIDE-Based Detection

Industry-standard threat modeling framework identifying vulnerabilities across Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.

  • 6 STRIDE categories
  • 90+ detection rules
  • Multi-cloud coverage
  • Platform-specific checks
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STRIDE-Based Detection
Connectivity Scanner
Code Analysis

Connectivity Scanner

Automatically discover connections in your source code that aren't visible in IaC—databases, APIs, message queues, cloud services, and authentication systems. Scan 25+ languages to find hidden attack surfaces.

  • 25+ languages
  • Database & API detection
  • Encryption status
  • Protocol classification
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Intelligence

AI-Powered Analysis

Optional LLM integration for context-aware remediation recommendations. Supports OpenAI, Anthropic Claude, and local Ollama models. Your API keys, your control.

  • GPT-4o & Claude Sonnet
  • Local Ollama support
  • Smart remediation
  • Interactive queries
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AI-Powered Analysis
Compatibility

Multi-Cloud Support

Single tool coverage across AWS, Azure, GCP, Oracle Cloud, and Alibaba Cloud. Platform-specific resource mappings ensure accurate threat detection.

  • AWS & Azure
  • GCP & OCI
  • Alibaba Cloud
  • Unified analysis
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Multi-Cloud Support

How It Works

From initialization to continuous monitoring in five simple steps

1

Initialize

Set up threat tracking in your repository

threatmitigator init
2

Scan

Analyze IaC and source code for threats

threatmitigator scan
3

Review

Examine threats with severity ratings

4

Remediate

Get AI-powered fix guidance (optional)

threatmitigator query
5

Track

Monitor security posture over time

Flexible Output Formats

Export results in the format that fits your workflow

JSON

Machine-readable for tooling integration and automation pipelines

YAML

Human-readable with Git-friendly diffs for version control

SARIF

Industry-standard format for code scanning and IDE integration

Markdown

Documentation-ready reports for wikis and executive summaries

Security & Privacy First

Your infrastructure data stays under your control

Local-First Architecture

All analysis runs locally. No infrastructure data is transmitted to ThreatMitigator servers.

Bring Your Own LLM

AI features use your API keys with your chosen provider. You control where data is sent.

Secure Defaults

Report files with restricted permissions, automatic secret redaction, safe HCL parsing with no code execution.

Input Validation

Git URL validation, path traversal protection, and input sanitization throughout.

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Ready to Secure Your Infrastructure?

Join teams already using ThreatMitigator to identify security threats in their Terraform code.

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