What question did this study set out to answer?

The aim is to develop an AI-driven framework for the real-time detection of phishing and malware threats.

August 10, 2026Open Access

AI-Driven Automated Phishing and Malware Detection Framework Using Deep Learning

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Randomized trial demonstrates improved phishing and malware detection using AI in digital security, implying enhanced protection.

The aim is to develop an AI-driven framework for the real-time detection of phishing and malware threats.
Leveraging machine learning and deep learning models for detection.
Experimental evaluations conducted to assess accuracy and latency.
Focus on identifying phishing links and malicious software in real-time.
Achieved exceptional accuracy in detecting threats.
Demonstrated low latency and minimal false-positive rates.
Significantly outperformed traditional detection methods.

Ananno Faisal Prionta Prionta (2026) studied this question.

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