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security 7

AI security tools apply machine learning to threat detection, vulnerability scanning, compliance monitoring, and content integrity verification. With 81 tools in this category, the range spans full enterprise cybersecurity platforms down to single-purpose utilities like deepfake detectors and manipulation-detection tools.

Wald

general

Automate data discovery, classification, and access control

Free 37 · 52,831 votes

Alpha Vision

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Computer vision for security and operational monitoring

Free 37 · 42,094 votes

Critique

general

Browser extension for fact-checking claims

Free 36 · 29,936 votes

Veriom

general

Root cause analysis tool that finds misconfigurations and unsafe defaults in your SDLC

Free 36 · 26,005 votes

Greip

general

AI fraud detection and prevention

Free 35 · 17,705 votes

LotusEye

general

Visual inspection for manufacturing defects

Free 35 · 11,875 votes

Top 10 Web Cờ Bạc, Sòng Bài Casino Online Uy Tín Nhất 2026

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Directory of Vietnamese online casinos

Free 34 · 8,228 votes

The category covers several distinct problem areas. Deepfake and synthetic media detection tools like Deepfake Detector address the challenge of verifying whether images, audio, or video are genuine. Endpoint and network security tools like Swif and HTCD apply AI to anomaly detection and threat response. Compliance tools like Disclaimr.ai focus on ensuring AI-generated content meets regulatory standards. Tools like Gaslighting Check and Suzan target social engineering and manipulation detection. When evaluating security tools, claims require scrutiny: detection accuracy rates, false positive rates, and independent testing matter far more than marketing copy. Many security tools need access to logs, communications, or media files, so vendor data handling practices and certifications are essential. Pricing is typically usage-based or enterprise-contract, with free tiers rarely covering production-scale workloads.