This content originally appeared on DEV Community and was authored by Trix Cyrus
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)
This content originally appeared on DEV Community and was authored by Trix Cyrus
Trix Cyrus | Sciencx (2024-09-21T20:11:48+00:00) AI against Daunting Security: The Future of Self-Rule Hacking. Retrieved from https://www.scien.cx/2024/09/21/ai-against-daunting-security-the-future-of-self-rule-hacking/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.