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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.

Trinka

general

AI writing assistant and grammar checker

Paid 41 · 40,702 votes

The Cat’s Eye Smart Systems

general

Anti-bullying platform for schools

Paid 38 · 63,172 votes

Lasso Moderation

general

Identify and remove harmful content from platforms

Paid 37 · 54,232 votes

Polymer Runtime Data Security

general

AI detects and protects sensitive data in SaaS apps

Paid 37 · 42,968 votes

AI-Redact

general

Auto-detect and redact sensitive data in PDFs

Free 37 · 36,435 votes

Veriom

general

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

Free 36 · 26,005 votes

LotusEye

general

Visual inspection for manufacturing defects

Free 35 · 11,875 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.