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IronClaw
✓ verifiedFree
Open-source, Rust-built secure runtime that runs AI agents in encrypted enclaves so credentials never reach the model.
37K 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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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
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
No public pricing
Free trial available
Core features
- ✦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
- ✦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
- ✦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
Use cases
- →Running autonomous AI agents without exposing secrets
- →Self-hosting a secure personal AI assistant
- →Deploying agents in a confidential-compute environment
- →Anti-spoofing liveness checks during KYC onboarding
- →Detecting deepfakes in live video calls
- →Step-up biometric authentication for risky actions
- →Securing conversational and RAG agents
- →Governing employee use of AI tools
- →Adversarial testing before deploying GenAI
- →Meeting AI compliance requirements
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