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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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huntr
✓ verifiedFree
AI/ML bug-bounty platform where researchers bypass LLM guardrails in timed challenges to win cash prizes.
60K visits/mo
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Credo AI
✓ verifiedPaid
Enterprise AI governance platform to inventory AI systems, assess risk and map controls to regulations like the EU AI Act and NIST.
50K visits/mo
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Adversa AI
✓ verifiedPaid
AI red-teaming and security platform for LLMs, agents and GenAI apps, offering continuous testing and remediation.
35K visits/mo
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Aikido Security
✓ verifiedFreemium
Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.
670K visits/mo
Pricing
No public pricing
No public pricing
No public 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
Core features
- ✦Timed AI-hacking challenges with cash pots
- ✦Public leaderboard and rankings
- ✦Guardrail-bypass and jailbreak objectives
- ✦Hacktivity feed of activity
- ✦Community via Discord
- ✦Blog on LLM exploits and AI security
- ✦AI/agent registry with shadow-AI discovery
- ✦Continuous, contextual risk intelligence
- ✦Agentic risk and control library
- ✦Policy-to-code with pre-built regulatory policy packs
- ✦Compliance mapping and audit evidence
- ✦GAIA governance assistant and 300+ integrations
- ✦AI threat modeling for your stack
- ✦Continuous autonomous red-teaming
- ✦Auto-generated patches and remediation reports
- ✦Coverage for agents, MCP, LLMs and GenAI apps
- ✦Managed service or self-serve platform
- ✦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
Use cases
- →Red-teaming and jailbreaking LLMs
- →Earning bounties for AI exploits
- →Learning AI attack techniques
- →Competing against other researchers
- →Comply with the EU AI Act, ISO 42001 and NIST AI RMF
- →Track and govern AI adoption and shadow AI
- →Assess third-party/vendor AI risk
- →Govern AI agents from intake to runtime
- →Red-team custom AI agents and copilots
- →Detect prompt injection and agent hijacking
- →Harden GenAI apps before shipping
- →Continuously assess AI security posture
- →Finding and fixing code vulnerabilities
- →Securing cloud and containers
- →Running continuous pentests
- →Automating compliance evidence
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