CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Keerthika N A

doi:10.64643/ijirtv12i9-192295-459

February 6, 2026International Journal of Innovative Research in TechnologyOpen Access

CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

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Key Points

The research aims to assess the efficiency of AI-driven intrusion detection systems in industrial IoT environments.
Evaluation of zero trust framework in IoT networks
Integration of AI for real-time threat detection
Testing across various industrial scenarios
Significant reduction in undetected intrusions
Improved response times to security threats
Increased overall security compliance in industrial settings

Implication

Evaluates the effectiveness of AI-enabled zero trust intrusion detection in industrial IoT networks, suggesting improvements in cybersecurity.

Abstract

Explore the article titled CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks from IJIRT Volume 12, Issue 9. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Keerthika N A (2026) studied this question.

synapsesocial.com/papers/699e90eff5123be5ed04e365 https://doi.org/10.64643/ijirtv12i9-192295-459

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CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

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