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Privacy Preserving AI AI Security Guardrails AI Agents Infrastructure

Mindgard

✓ verifiedPaid

Automated AI red-teaming platform that discovers, tests, and defends AI models and agents against security threats.

32K visits/mo

Aikido Security

✓ verifiedFreemium

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

670K visits/mo

Facia

✓ verifiedFree trial

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

95K visits/mo6.8K saves

IronClaw

✓ verifiedFree

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

37K visits/mo

huntr

✓ verifiedFree

AI/ML bug-bounty platform where researchers bypass LLM guardrails in timed challenges to win cash prizes.

60K visits/mo

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

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

Core features

✦Automated AI red teaming
✦AI discovery and attack-surface mapping
✦Agent-native reconnaissance
✦Exploitable-risk detection and reporting
✦Runtime AI protection and response
✦CI/CD, Burp Suite, and API 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

✦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

✦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

✦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

Use cases

→Testing AI systems against evolving attacks
→Finding vulnerabilities in models and agents
→Securing agentic workflows in production
→AI governance and compliance reporting

→Finding and fixing code vulnerabilities
→Securing cloud and containers
→Running continuous pentests
→Automating compliance evidence

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

→Running autonomous AI agents without exposing secrets
→Self-hosting a secure personal AI assistant
→Deploying agents in a confidential-compute environment

→Red-teaming and jailbreaking LLMs
→Earning bounties for AI exploits
→Learning AI attack techniques
→Competing against other researchers

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