Analisis Ancaman Social Engineering Berbasis Agentic AI dan Strategi Mitigasi Menggunakan Pendekatan Zero Trust
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The development of Agentic Artificial Intelligence (Agentic AI) presents new challenges in cybersecurity due to its ability to plan, adapt, and act autonomously. This study aims to analyze the threat of social engineering based on Agentic AI and to formulate mitigation strategies using the Zero Trust approach. The research method employs literature review and threat modeling to identify attack vectors, user vulnerabilities, and potential impacts. The analysis shows that Agentic AI can enhance the personalization, scale, speed, and effectiveness of social engineering attacks. This study develops a conceptual framework for mitigating social engineering attacks based on Agentic AI by applying Zero Trust principles as a layered defense approach that places identity, context, and risk at the center of security decision-making.
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Author Biographies
Program Studi Sistem Dan Teknologi Informasi, Fakultas Teknik, Institut Teknologi dan Bisnis Yadika Pasuruan, Kabupaten Pasuruan, Provinsi Jawa Timur, Indonesia.
Program Studi Informatika, Fakultas Komputer dan Multimedia, Universitas Islam Kebangsaan Indonesia, Kabupaten Bireuen, Provinsi Aceh, Indonesia.
Program Studi Teknologi Informasi, Fakultas Ilmu Komputer dan Teknologi Informasi, Universitas Muhammadiyah mahakarya Aceh, Kabupaten Bireuen, Provinsi Aceh, Indonesia.
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Institut Teknologi dan Bisnis Yadika Pasuruan, Kabupaten Pasuruan, Jawa Timur, Indonesia.
Program Studi Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Kota Jakarta Barat, Jakarta Barat, Indonesia.
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This work is licensed under a Copyright (c) 2026 Teguh Pradana, Nur Amalia Hasma, Handry Eldo, Renita Selviana, Ayuliana Ayuliana .
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References
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