AI-Powered Cyber Defense: Combining Zero Trust, De-Identification, and Autonomous Threat Response

Mukul Mangla; Saurabh Kansal

doi:10.71097/IJSAT.v16.i2.5834

AI-Powered Cyber Defense: Combining Zero Trust, De-Identification, and Autonomous Threat Response

Author(s)	Mukul Mangla, Saurabh Kansal
Country	India
Abstract	As cyberattacks become more advanced, businesses need smarter and more flexible ways to protect themselves—traditional firewalls and perimeter-based defenses just aren’t enough anymore. This paper introduces a new cybersecurity system that uses artificial intelligence (AI) to combine several cutting-edge approaches: Zero Trust Architecture (which always verifies user access), data de-identification (which protects personal information), and automated threat response (which reacts to attacks without human delay). The system includes modern features like behavior analysis to detect risky activity, AI models that are resistant to manipulation, and tools that help explain how security decisions are made. It also uses blockchain to keep a transparent record of what actions were taken and why. We tested this approach on a simulated dataset of 1.2 million entries and ran pilot programs in the finance and healthcare sectors. The results showed clear benefits: threat detection accuracy improved by 28%, false alarms were cut nearly in half, response times dropped by 45%, and privacy compliance went up by 18%. The system ran efficiently, adding only 12% CPU usage and keeping its AI response times under 150 milliseconds for most requests. Future improvements will focus on running the system on edge devices, training models securely across multiple locations using federated learning, and preparing it to resist even the most advanced future threats, including those posed by quantum computing. Overall, this research marks real progress in building smarter, more secure, and privacy-aware defense systems.
Keywords	AI-Powered Cybersecurity, Zero Trust Architecture (ZTA) , Autonomous Threat Response , Data De-Identification , Behavioral Analytics , Adversarial Robustness ,Explainable AI (XAI) , Differential Privacy , Security Orchestration, Automation, and Response (SOAR) , Blockchain Auditability
Field	Computer > Network / Security
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-02
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5834
Short DOI	https://doi.org/g9m289

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4 Cover Page Vol 15 Isu 3 Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

AI-Powered Cyber Defense: Combining Zero Trust, De-Identification, and Autonomous Threat Response

Share this