Author: Trix Cyrus

Introduction

Applications for artificial intelligence have mushroomed vastly in the field of security. Besides that, beyond security, AI has already started to be actively used at a tremendous rate in automating hacking processes and also in vulnerability identification.
 
Key Takeaways
 
~ AI Scanning of Vulnerabilities: With AI, networks scan much faster for security defects than traditional methods do and uses machine learning algorithms for pattern recognition that tells about vulnerability attacks.

~ Exploit automation: AI exploits itself, dealing with traditional security measures through learning from past successful attacks.

~ Adversarial AI: Hackers use AI for scaling their phishing attacks, CAPTCHA cracking, even reconnaissance.
~ Defensive AI Systems: Cyber Security teams defeat attack AI through the deployment of defensive AI that identifies anomalies, malware signatures, and patterns in real time.

~ Ethical issues: Deployment of AI in aggressive security raises questions about how much automated attacks should be allowed and also who controls these systems

*Practical recommendation:
*
Use AI tools in self-defense and research AI-based threat detection systems.
Start researching adversarial machine learning about the aggressive applications that hackers can use.

~TrixSec(github/telegram)