Suzan
generalCompliance, governance, and risk management OS
AI security tools use machine learning to detect threats, verify content authenticity, and protect individuals and organizations from digital risks. This category includes 81 tools spanning deepfake detection, behavioral threat analysis, endpoint protection, and content integrity checks. The tools serve both enterprise security teams and individual users concerned about misinformation or identity fraud.
Compliance, governance, and risk management OS
Discover and patch endpoints across your IT infrastructure
Security platform for identifying AI model risks
AI security and robustness testing
AI-native code security with low false positives
Analyze emotion and tone from voice recordings
Full-stack technology and AI solutions
Write flawless, engaging content
Figma plugin for AI-powered design feedback
AI-driven code vulnerability detection and fixes
AI-generated text detector
Document AI and media processing APIs
Real-time detection and remediation of security threats
Detect hate speech in text with confidence scoring
Detect AI-generated images quickly
SEO automation that detects keywords, generates content, and publishes it
Luxury watch authentication with AI
Blur faces in videos and images
Remove plagiarism and bypass AI detection
Portal for exploring the Model Context Protocol
Generate Italian-themed meme photos
Identify photo location using AI and GPS data
JavaScript library for detecting inappropriate images in the browser
Track bot influence on Twitter trending topics
The range within this category is broad. Some tools focus on detecting synthetic media, including AI-generated images and audio, which matters for journalists, legal teams, and social platforms. Others address enterprise concerns like anomaly detection in networks, employee device management, or threat intelligence feeds. When evaluating a security tool, consider whether it operates in real time or as a batch scanner, what data it stores or processes off-device, and whether it integrates with your existing stack via API or webhooks. Pricing models vary from per-scan fees to monthly platform subscriptions, with enterprise contracts for high-volume use. Tools aimed at individuals tend to be simpler and cheaper, while those targeting organizations often require a demo or custom quote. For any tool handling sensitive data, review the privacy policy carefully before connecting it to production systems.