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Generative AI and multi-source intelligence for automated security triage Herris, Fhatur Robby Tanzil; Saragih, Hondor; Anindito, Anindito
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 4 (2025): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i4.326

Abstract

Security Operation Center (SOC) analysts encounter significant delays due to "Swivel Chair Analysis," a manual and fragmented process for triaging Indicators of Compromise (IoC). This study addresses this inefficiency by developing "CyberGuardianBot," an automated ChatOps assistant built using the Rapid Application Development (RAD) methodology and the Telegram Bot API. Applying Security Orchestration, Automation, and Response (SOAR) principles, the system asynchronously orchestrates multi-source intelligence from VirusTotal, AbuseIPDB, URLScan.io, AlienVault OTX, and MobSF. A key novelty is the integration of Google Gemini to perform cognitive synthesis, translating raw API data into actionable insights. Blackbox testing validated the system across 15 test cases, confirming the successful automation of URL, IP, and file triage. The bot generates natural language executive summaries and structured reports (.txt and .pdf), significantly enhancing the speed and accuracy of the triage process while reducing the cognitive load on analysts.
AI-based cyber patrol system for media sentiment analysis on online news regarding the Indonesian Air Force Setyawan, Muhammad Iqbal; Mardamsyah, Adam; Anindito, Anindito; Budiman, Dwi Cahyo
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.497

Abstract

This study presents the development of an adaptive cyber patrol system designed to assist the Indonesian Air Force in monitoring the rapidly changing dynamics of public information. The system aims to detect issues that may influence strategic perception and operational readiness by automatically tracking online news sources across Indonesia. The integrated framework automates the collection, Analysis, and reporting process ranging from identifying viral phrases and performing sentiment Analysis to generating tactical reports for Download. Artificial intelligence techniques are employed to expand keyword coverage, ensure the timeliness of information, and assess the relevance and coherence of collected content. Evaluation results indicate that the system operates reliably and produces well-structured outputs. Overall, this research offers a modular integration of AI, information Analysis, and automated reporting that can be further developed toward predictive and multi-tenant analytics in the future.
Cybersecurity education for the elderly as a strategic tool to mitigate digital economic risks Brata, Daffa Mahdy; Putra, Bainul Dwi Tri; Anindito, Anindito
Economic Military and Geographically Business Review Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/emagrap.v3i2.2026.2631

Abstract

Background: The vulnerability of older people to online fraud has increased drastically, with national losses reaching IDR 2 trillion by April 2025. These frauds pose a significant threat not only to the elderly but also to the stability of Indonesia’s financial sector and fintech industries, highlighting the need for systemic solutions that protect both individuals and businesses. This study aims to develop a cybersecurity education application for the elderly, which not only addresses common fraud patterns in Indonesia, such as fake lotteries, digital bank fraud, and WhatsApp social engineering, but also serves as part of a broader strategy to protect the digital economy, mitigate business risks, and strengthen financial sector security. Methods: The study uses the Research and Development (R&D) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. The application features an elderly-friendly interface with large fonts, simple navigation, and adaptive learning. User testing was conducted with elderly participants to assess usability and effectiveness, incorporating experiential learning principles to enhance engagement. Findings: Initial prototype evaluation with 15 elderly participants (aged 62-74) showed that 87% successfully completed basic navigation tasks independently, and 73% completed the full learning flow without assistance. The experiential learning approach integrated into the prototype design proved more effective than traditional lecture-based methods in preliminary testing. Common usability challenges identified included back navigation difficulties (40% of participants) and quiz submission confusion, informing iterative design improvements. Conclusion: This application offers a sustainable, cost-effective solution that not only reduces cybercrime-related losses among the elderly but also contributes to a broader strategy of economic digital security. It plays a vital role in reducing financial sector risks, enhancing digital trust, and safeguarding businesses against the rising tide of cybercrime, which in turn helps mitigate risks for businesses and financial institutions. Novelty/Originality of this article: This research introduces a unique approach that combines cybersecurity education for the elderly with strategies to mitigate economic risks in the digital economy. The application integrates an elderly-friendly interface and experiential learning techniques to enhance digital literacy, while simultaneously offering a scalable solution to reduce the broader impact of online fraud on the financial sector.