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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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Facia
✓ verifiedFree trial
Enterprise biometric platform for liveness, deepfake detection and face matching in KYC and fraud-prevention flows.
95K visits/mo6.8K saves
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Resemble AI
✓ verifiedFree trial
Generative-AI security platform for watermarking and detecting voice, image, and video deepfakes, built on its own voice-cloning models.
292K visits/mo14K saves
Pricing
No public pricing
Pay As You Go: $0.10/check (Quick Liveness)
Pay As You Go: $0.12/check (Detailed Liveness)
Pay As You Go: $0.40/check (Deepfake Detection)
Pay As You Go: $0.70/check (Document Verification)
Free trial available
Flex plan: $0 to start (pay-per-use credits)
Team Seats: $20/month per user
Rapid voice clone: $2/month per voice
Pro voice clone: $5/month per voice
Voice design: $2/month per voice
Audio deepfake detection: $0.04 per second
Video deepfake detection: $0.07 per second
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
- ✦Active and passive liveness detection
- ✦Deepfake and AI-generated media detection
- ✦1:1 and 1:N face matching and search
- ✦Age estimation and document verification
- ✦iBeta Level 2 certified, low FAR/FRR
- ✦Lightweight mobile SDKs and REST APIs
- ✦Multimodal deepfake detection for audio, image, and video
- ✦Invisible, persistent watermarking for media provenance
- ✦Real-time deepfake monitoring bot for live meetings
- ✦Voice cloning and text-to-speech generation
- ✦Pay-as-you-go credit-based Flex pricing plan
- ✦Enterprise on-premise deployment and SSO options
Use cases
- →Red-teaming and jailbreaking LLMs
- →Earning bounties for AI exploits
- →Learning AI attack techniques
- →Competing against other researchers
- →Anti-spoofing liveness checks during KYC onboarding
- →Detecting deepfakes in live video calls
- →Step-up biometric authentication for risky actions
- →Enterprises verifying caller identity to prevent voice fraud
- →Media companies watermarking content for provenance tracking
- →Security teams monitoring live calls for deepfake impersonation
- →Developers building AI voice agents with cloned voices
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