What is AI-agents-for-cybersecurity?

75/100
Trust Score (B)
✅ Safe

AI-agents-for-cybersecurity is a security that This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos.. It has a Nerq Trust Score of 75/100 (B). 146 GitHub stars. Published by santosomar. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

75
TRUST SCORE
B
GRADE
146
STARS
0
DOWNLOADS

What AI-agents-for-cybersecurity Does

AI-agents-for-cybersecurity is a agent in the security category. This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos.. It is published by santosomar and is open source. With 146 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use AI-agents-for-cybersecurity

AI-agents-for-cybersecurity is well-suited for production use given its strong trust score and active community.

Details

Authorsantosomar
Categorysecurity
LicenseBSD-3-Clause
Typeagent
SourceView on GitHub
Security Score1/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=santosomar-ai-agents-for-cybersecurity

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is AI-agents-for-cybersecurity used for?
AI-agents-for-cybersecurity is a security tool. This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos..
Is AI-agents-for-cybersecurity free?
License: BSD-3-Clause. AI-agents-for-cybersecurity has 146 GitHub stars.
Is AI-agents-for-cybersecurity safe?
AI-agents-for-cybersecurity has a Nerq Trust Score of 75/100 (B). Safe for production use.
What are alternatives to AI-agents-for-cybersecurity?
Top alternatives: Ciphey, strix, SWE-agent. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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