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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.

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Lakera Guard logo
Lakera Guard
✓ verifiedFreemium

Security platform that guards GenAI apps and AI agents against prompt injection, data leaks and misuse for enterprise teams.

306K visits/mo
Vectra logo
Vectra
✓ verifiedPaid

AI-driven network detection and response platform that identifies and stops identity-based and lateral-movement cyberattacks in real time.

203K visits/mo1.0K saves
hCaptcha logo
hCaptcha
✓ verifiedFreemium

Privacy-focused CAPTCHA and bot/fraud-detection service, a drop-in reCAPTCHA alternative for websites and apps.

4.4M visits/mo
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
IronClaw logo
IronClaw
✓ verifiedFree

Open-source, Rust-built secure runtime that runs AI agents in encrypted enclaves so credentials never reach the model.

37K visits/mo
Pricing

No public pricing

Free trial available

No public pricing

Basic: Free
Pro: $139/month billed monthly, $99/month billed yearly
Enterprise: Contact sales

Free trial available

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

Core features
  • Runtime protection for AI agents and apps
  • Prompt-injection and jailbreak prevention
  • Data-leakage detection in prompts
  • Shadow-AI discovery across apps and browsers
  • Policy controls by user, app and action
  • AI red-teaming and adversarial testing
  • Real-time AI-driven threat detection beyond traditional EDR
  • Detection of identity-based attacks and lateral movement
  • 360 Response for enforced containment across identity, devices, and network
  • Exposure management and security posture improvement tools
  • Managed detection and response (MXDR/MDR) services
  • Integrations across existing security tool ecosystems
  • Attack Labs research sharing threat intelligence and techniques
  • AI bot detection
  • Transaction fraud protection
  • Account-takeover (ATO) defense
  • Pull-based SMS MFA
  • Private Learning ML risk models
  • Two-line reCAPTCHA migration
  • Hundreds of integrations
  • 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
  • Encrypted credential vault injected only at approved endpoints
  • Agents run inside Trusted Execution Environments (encrypted enclaves)
  • Sandboxed tools in Wasm containers with capability-based permissions
  • Real-time outbound leak detection to block credential exfiltration
  • Rust codebase for memory safety
  • One-click cloud deploy on NEAR AI Cloud or self-host from source
Use cases
  • Securing conversational and RAG agents
  • Governing employee use of AI tools
  • Adversarial testing before deploying GenAI
  • Meeting AI compliance requirements
  • Security operations teams needing detection beyond EDR/SIEM gaps
  • Enterprises defending against identity-based and hybrid cloud attacks
  • Organizations needing managed threat detection and response services
  • Finance, healthcare, and public sector teams meeting compliance-driven security needs
  • Blocking bots and spam signups
  • Preventing account takeover
  • Reducing transaction and payment fraud
  • Stopping credential stuffing
  • Finding and fixing code vulnerabilities
  • Securing cloud and containers
  • Running continuous pentests
  • Automating compliance evidence
  • Running autonomous AI agents without exposing secrets
  • Self-hosting a secure personal AI assistant
  • Deploying agents in a confidential-compute environment
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