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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
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Issue Published : 120
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| Paper Title: | Guardian: A Human Risk-Aware Security System For Proactive Breach Preventions |
| Authors Name: | Anurag Yadav , Gaurav Ingle , Abhijit Chavan , Sunita Wani |
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IJRTI_211459
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| Published Paper Id: | IJRTI2604286 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Guardian (Human Risk Assessment & Security Awareness – HRASA) is an AI-assisted cybersecurity system designed to address one of the most critical yet overlooked aspects of organizational security—human behavior. While modern enterprises deploy advanced technical safeguards such as firewalls, SIEMs, and intrusion detection systems, a significant number of security breaches continue to occur due to human errors, including phishing attacks, weak password practices, unsafe file handling, and negligence toward security warnings. The proposed system continuously monitors user activities in real time and analyzes behavior patterns to identify potentially risky actions. Using a rule-based and AI-driven risk evaluation approach, HRASA assigns a dynamic Human Risk Score to each user based on their actions and contextual factors. When risky behavior is detected, the system provides immediate, context-aware alerts and actionable guidance to help users avoid security incidents before they occur. Guardian also includes an administrative dashboard that offers comprehensive visibility into organizational human-risk posture by highlighting high-risk users, frequently occurring risky behaviors, and trend-based risk analytics. By combining proactive monitoring, real-time alerts, and awareness-driven feedback, HRASA enhances cybersecurity resilience by reducing incidents caused by human error and promoting better security hygiene within organizations. |
| Keywords: | Guardian, HRASA, Human Risk Assessment, Cyber Security Awareness, User Behavior Monitoring, Human Risk Score, Real-Time Alerts, Insider Threat Prevention, AI in Cybersecurity |
| Cite Article: | "Guardian: A Human Risk-Aware Security System For Proactive Breach Preventions", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.c90-c96, May-2026, Available :http://www.ijrti.org/papers/IJRTI2604286.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604286
Registration ID:211459
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: c90-c96 Country: pune, maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604286 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604286 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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