awesome-ai-cybersecurity

Explores indirect instruction injection using images and sounds in multi-modal LLMs.

Discusses adversarial attacks on tabular data.

Explores evasion attacks on large language models.

Argues that adversarial examples are inherent features of models.

Investigates adversarial attacks on face recognition models.

Explores adversarial prompting for foundation models.

Proposes methods for detecting malicious web queries.

A game-theoretic library for adversarial machine learning.

A handbook on various use cases of AI in cybersecurity.

An introduction to AI for cybersecurity by Cylance.

Discusses the use of convolutional neural networks for anomaly detection in industrial control systems.

A survey on various techniques for credit card fraud detection.

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.

first strikes, zero-day markets, hardware supply chains, adoption barriers

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.

A simulation tool for training and evaluating scalable and generalizable reinforcement learning agents for critical attack path discovery in networks (

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.