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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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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
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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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Aikido Security
✓ verifiedFreemium
Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.
670K visits/mo
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iDox.ai
✓ verifiedPaid
Enterprise AI platform for redacting, anonymizing, and governing sensitive data across documents and AI workflows.
68K visits/mo6.6K saves
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
No public pricing
Core features
- ✦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
- ✦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
- ✦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
- ✦AI-powered document redaction
- ✦Real-time data anonymization
- ✦AI guardrails for generative-AI apps
- ✦Automated compliance enforcement
- ✦Industry-specific solutions for government, legal, and healthcare
Use cases
- →Prevent data leaks across SaaS apps
- →Classify and monitor sensitive data
- →Reduce breaches from human error
- →Give security teams cloud data visibility
- →Red-teaming and jailbreaking LLMs
- →Earning bounties for AI exploits
- →Learning AI attack techniques
- →Competing against other researchers
- →Finding and fixing code vulnerabilities
- →Securing cloud and containers
- →Running continuous pentests
- →Automating compliance evidence
- →Automating FOIA and public-records redaction
- →Protecting privileged data in eDiscovery
- →Preventing data leakage to AI systems
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