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Sania, Neha Sindhu, Yogita Gigras, Shilpa Mahajan
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- Student, Student, Associate Professor, Associate Professor, Department of Computer Science and Engineering, The NorthCap University, Gurugram, Department of Computer Science and Engineering, The NorthCap University, Gurugram, Department of Computer Science and Engineering, The NorthCap University, Gurugram, Department of Computer Science and Engineering, The NorthCap University, Gurugram, Haryana, Haryana, Haryana, Haryana, India, India, India, India
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Abstract
nIn the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced Artificial Intelligence and Machine Learning (AIML) algorithms. Its primary objective is to empower organizations with enhanced threat detection capabilities and comprehensive user behavior analysis. Through the integration of AIML, Gatividhi Guard excels in swiftly and accurately identifying and neutralizing cyber threats. A distinguishing feature of Gatividhi Guard lies in its ability to track user mouse movements and locations, facilitating the mitigation of insider threats. This proactive approach to monitoring user activity adds a layer of security crucial for safeguarding digital assets. Moreover, Gatividhi Guard offers intuitive dashboards and robust reporting tools, enabling security analysts to gain deeper insights into security events and make informed decisions to mitigate risks effectively. By presenting security data in a user-friendly manner, Gatividhi Guard enhances the efficiency of security operations and strengthens overall cybersecurity posture. This paper elucidates the design and features of Gatividhi Guard, providing comprehensive guidance on its implementation and setup. By elucidating the significance of Gatividhi Guard in protecting digital assets, the paper underscores the indispensable role of AI-driven solutions in addressing modern cybersecurity challenges. Gatividhi Guard emerges as a pivotal asset for organizations seeking to fortify their IT systems against emerging threats. Through the strategic integration of AI and comprehensive user behavior analysis, Gatividhi Guard empowers organizations to confront new cybersecurity challenges with confidence, thereby elevating the overall security resilience of their digital infrastructure.
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Keywords: SIEM, Cybersecurity, AI, Machine Learning, Threat Detection, User Behaviour Analysis, Insider Threats, Gatividhi Guard
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Operating Systems Development & Trends(joosdt)]
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References
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Journal of Operating Systems Development & Trends
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | April 9, 2024 | |
| Accepted | April 20, 2024 | |
| Published | May 3, 2024 |
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