awesome-ai-cybersecurity
github.com/elniak/awesome-ai-cybersecurity ↗Welcome to the ultimate list of resources for AI in cybersecurity. This repository aims to provide an organized collection of high-quality resources to help professionals, researchers, and enthusiasts stay updated and advance their knowledge in the field.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me privacy resources from awesome-ai-cybersecurity"
Installation instructions →What's inside
Theoretical Resources
- (Ab)using Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMsPrivacy
Explores indirect instruction injection using images and sounds in multi-modal LLMs.
- Adversarial Attacks on Tables with Entity SwapResearch Papers
Discusses adversarial attacks on tabular data.
- Adversarial Demonstration Attacks on Large Language ModelsResearch Papers
Explores evasion attacks on large language models.
- Adversarial Examples Are Not Bugs, They Are FeaturesResearch Papers
Argues that adversarial examples are inherent features of models.
- Adversarial Generative Nets - Neural Network Attacks on State-of-the-Art Face RecognitionResearch Papers
Investigates adversarial attacks on face recognition models.
- Adversarial Prompting for Black Box Foundation ModelsResearch Papers
Explores adversarial prompting for foundation models.
Securing AI SaaS
- Adaptively Detecting Malicious Queries in Web AttacksApplication Security
Proposes methods for detecting malicious web queries.
- Adversarial Machine Learning Library (Ad-lib)Adversarial Tools
A game-theoretic library for adversarial machine learning.
- AI for Cybersecurity - A Handbook of Use CasesBooks & Survey Papers
A handbook on various use cases of AI in cybersecurity.
- AI for Cybersecurity by Cylance (2017)Books & Survey Papers
An introduction to AI for cybersecurity by Cylance.
- Anomaly Detection in Industrial Control Systems Using CNNsProcess Behavior (Fraud Detection)
Discusses the use of convolutional neural networks for anomaly detection in industrial control systems.
- A Survey of Credit Card Fraud Detection TechniquesProcess Behavior (Fraud Detection)
A survey on various techniques for credit card fraud detection.
Using AI for Pentesting
- AIEngineDetection
Next-generation interactive/programmable packet inspection engine with IDS functionality. AIEngine uses machine learning to improve packet inspection and anomaly detection, adapting to new threats over time.
- AI infosec - first strikes, zero-day markets, hardware supply chains, adoption barriersTutorials and Guides
first strikes, zero-day markets, hardware supply chains, adoption barriers
- AI Safety in a World of Vulnerable Machine Learning SystemsTutorials and Guides
- Burp SuiteMonitoring/Scanning
A leading range of cybersecurity tools, brought to you by PortSwigger. Burp Suite can integrate AI to automate vulnerability detection and improve the efficiency of web application security testing.
- CortexResponse
A powerful and flexible observable analysis and active response engine. AI can be used in Cortex to automate the analysis of observables and enhance threat detection capabilities.
- Cybersecurity data science - an overview from machine learning perspectiveTutorials and Guides
an overview from machine learning perspective
Showing a sample of 157 resources. View the full list on GitHub →