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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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Privacy Preserving AI Foundation Model Providers Llms Foundation Models AI Security Guardrails AI Agents Infrastructure

Facia

✓ verifiedFree trial

Enterprise biometric platform for liveness, deepfake detection and face matching in KYC and fraud-prevention flows.

95K visits/mo6.8K saves

Aikido Security

✓ verifiedFreemium

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

670K visits/mo

AiHubMix

218K visits/mo

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

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

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

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

✦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

✦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

✦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

→Anti-spoofing liveness checks during KYC onboarding
→Detecting deepfakes in live video calls
→Step-up biometric authentication for risky actions

→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

→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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