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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
StackGen logo
StackGen
✓ verifiedPaid

Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.

13K 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
Pricing
Free: $0/mo
Premium: $19/mo
Ultimate: $99/mo (14-day trial)

Free trial available

No public pricing

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

Free trial available

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
  • Automated service discovery and dependency topology mapping
  • SLO-based alert triage and prioritization
  • AI-driven root cause analysis with pre-built workflows
  • Human-approved remediation with full audit trails
  • Works alongside existing tools like Datadog, Grafana, New Relic
  • Governance and policy enforcement layer for agent actions
  • 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
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)
  • SRE teams reducing mean-time-to-resolution during incidents
  • Platform engineers wanting policy-governed AI infrastructure management
  • Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
  • Designing and deploying cloud infrastructure visually
  • Migrating to Infrastructure as Code
  • Standardizing Terraform modules and naming
  • Detecting drift between design and live cloud
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