56 tools · Updated weekly

Best Cyber Security Tools

Browse 56 AI tools in Cyber Security, ranked by upvotes, listing tier and verified reviews.

56tools listed
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Showing 9 of 56 tools

FortiGuard AI logo

FortiGuard AI

FortiGuard AI-Powered Security Services, developed by Fortinet, is a cutting-edge cybersecurity...

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Splunk logo

Splunk

Splunk, a Cisco company, empowers organizations to thrive in the digital age with its cutting-edge...

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Symantec Enterprise Cloud logo

Symantec Enterprise Cloud

Symantec Enterprise Cloud delivers advanced cybersecurity tailored for enterprises, securing...

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KnowBe4 logo

KnowBe4

KnowBe4 is a leading cybersecurity platform designed to empower organizations by training...

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Proofpoint logo

Proofpoint

Proofpoint is a cybersecurity tool that protects businesses from email threats like phishing...

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Hash-Identifier logo

Hash-Identifier

Hash-Identifier is a vital open-source utility pre-installed in Kali Linux (version 1.2),...

free
Fern-Wifi-Cracker logo

Fern-Wifi-Cracker

Fern-Wifi-Cracker is a powerful open-source wireless network auditing tool for ethical hacking,...

free
Wifite logo

Wifite

Wifite is a powerful open-source wireless network auditing tool for ethical hacking, seamlessly...

free
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About Cyber Security

56 AI tools are currently listed under Cyber Security on Toolkitly, ranked by upvotes, listing tier, and verified user reviews. New tools are reviewed before publishing, and rankings update as usage data changes.

How we rank tools in this category

Rankings combine five weighted factors, re-scored weekly as tools update their pricing and features:

1
Output qualityHow coherent, on-brief and edit-ready generated drafts are across common use cases.
2
Pricing valueWhat you get at each price point relative to category norms, not just the sticker price.
3
Ease of useTime to first usable draft, and how much setup a new team actually needs.
4
Feature depthBrand voice training, integrations, collaboration and export options.
5
Verified reviewsReal ratings from signed-in users, weighted more heavily than star count alone.