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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Aikido Security logo
Aikido Security
✓ verifiedFreemium

Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.

670K visits/mo
218K visits/mo
Gamma AI logo
Gamma AI
✓ verifiedPaid

Cloud DLP and CASB that classifies and protects sensitive data across SaaS apps using deep learning (now Palo Alto Networks).

168K visits/mo
Flagright AI logo
Flagright AI
✓ verifiedPaid

AML and fraud compliance platform pairing transaction monitoring, screening, and explainable AI agents for financial institutions.

39K visits/mo321 saves
Pricing
Developer: $0 (2 users, 10 repos)
Basic: $300/mo (10 users, 100 repos)
Pro: $600/mo (200 repos)
Standard Pentest: $4,000 per assessment

Free trial available

No public pricing

No public pricing

No public pricing

Core features
  • SAST, SCA and secrets scanning
  • Cloud misconfiguration (CSPM) and container scanning
  • AI-powered autonomous pentesting
  • AutoFix pull requests and auto-triage
  • Runtime and bot protection (Zen)
  • SOC 2 and ISO compliance support
  • LLM API router
  • OpenAI API proxy
  • Model aggregation (OpenAI, Gemini, DeepSeek, Llama, Qwen, Claude, etc.)
  • Unified OpenAI API standard
  • Unlimited concurrency
  • Deep-learning data classification (99.5% claimed accuracy)
  • Cloud DLP across SaaS applications
  • One-click deployment across apps, devices and users
  • End-user self-remediation of violations
  • Broad SaaS integrations
  • Insider-threat and breach monitoring
  • Real-time transaction monitoring and rule engine
  • Explainable AI forensics agents
  • Dynamic risk scoring
  • Watchlist/sanctions/PEP screening
  • AI-native case management
  • Automated SAR filing to FinCEN and 70+ GoAML countries
Use cases
  • Finding and fixing code vulnerabilities
  • Securing cloud and containers
  • Running continuous pentests
  • Automating compliance evidence
  • Integrating multiple AI models into applications using a single API
  • Accessing the latest AI models through a unified interface
  • Managing and scaling AI model usage with unlimited concurrency
  • Prevent data leaks across SaaS apps
  • Classify and monitor sensitive data
  • Reduce breaches from human error
  • Give security teams cloud data visibility
  • AML compliance and monitoring
  • Reducing false-positive alerts
  • Streamlining fincrime investigations and SAR filing
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