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AquilaX logo
AquilaX
✓ verifiedFreemium

AI DevSecOps platform running 32 parallel scanners with an AI engine that cuts false positives and auto-generates fix PRs.

14K visits/mo
Brainboard logo
Brainboard
✓ verifiedFreemium

AI-driven platform to visually design multi-cloud infrastructure and auto-generate Terraform code with built-in CI/CD.

17K visits/mo
Frugal logo
Frugal
✓ verifiedFree trial

FinOps tool that maps cloud and AI spend to the code driving it and auto-generates cost-cutting pull requests.

9.7K visits/mo
K8sGPT logo
K8sGPT
✓ verified

Diagnoses Kubernetes issues in plain English; well-known open-source developer tool.

8.7K visits/mo510 saves
Pricing
Free: $0/mo
Premium: $19/mo
Ultimate: $99/mo (14-day trial)

Free trial available

Free: $0 (unlimited architectures and code generation)
Pro: $99/user/mo (Git, CI/CD, RBAC, remote backend)

Free trial available

No public pricing

Free trial available

No public pricing

Core features
  • 32 scanners (SAST, SCA, DAST, IaC, secrets, container)
  • Securitron AI false-positive filtering
  • AI auto-remediation with fix PRs
  • ASPM and CSPM posture management
  • CI/CD, IDE and MCP integrations
  • On-premises deployment option
  • Visual multi-cloud architecture designer
  • Instant Terraform/OpenTofu code generation
  • Drift detection and remediation
  • Embedded visual CI/CD engine
  • GitOps workflow and RBAC
  • AI infrastructure generation from prompts
  • Maps cloud costs to the code that drives them
  • Cost-impact review on every pull request
  • Frugalbot agents that generate cost-reducing PRs
  • Coverage of storage, logs, AI APIs, serverless and databases
  • GitHub and GitLab workflow integrations
  • AI-Powered Analysis of Kubernetes clusters
  • Data Anonymization
  • Support for multiple AI providers (OpenAI, Azure, Google, etc.)
  • Auto Remediation of common Kubernetes issues
  • Claude Desktop Integration
  • Fine-Grained Control & Guardrails
  • Local AI Models support
Use cases
  • Scanning code and cloud for vulnerabilities
  • Reducing false-positive triage
  • Auto-fixing findings via pull requests
  • Meeting compliance (ISO 27001, PCI DSS, SOC2)
  • Designing and deploying cloud infrastructure visually
  • Migrating to Infrastructure as Code
  • Standardizing Terraform modules and naming
  • Detecting drift between design and live cloud
  • Cut usage-based cloud and AI bills
  • Add cost reviews to the development workflow
  • Guide developers and AI agents to write cheaper code
  • Find savings that infrastructure right-sizing misses
  • Diagnosing and fixing Kubernetes issues with AI-driven insights
  • Automated troubleshooting and remediation of cluster problems
  • Enhancing Kubernetes management with Claude Desktop integration
  • Analyzing cluster state and identifying potential problems
  • Improving Kubernetes workflows
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