Aegis AI - Intelligent Cyber Resilience

As cyber threats continue to evolve in complexity and scale, traditional security measures have become insufficient. Aegis AI (AAI): Intelligent Cyber Resilience presents a cutting-edge approach that integrates artificial intelligence (AI) and machine learning (ML) to strengthen cybersecurity defenses. This study explores the role of AI-driven threat intelligence, automated incident response, and adaptive learning in combating cyberattacks. The proposed AAI framework utilizes deep learning, anomaly detection, and reinforcement learning techniques to predict and mitigate threats in real time. By enhancing cyber resilience, AAI reduces response times, minimizes false positives, and ensures robust security automation. The research also addresses adversarial machine learning risks and ethical concerns surrounding AI in cybersecurity. Our findings demonstrate that AI-powered security systems significantly improve detection accuracy and automate cyber defense strategies. Future research will focus on integrating federated learning, real-time behavioural analytics, and AI-driven compliance frameworks to further enhance AAI’s effectiveness in securing digital ecosystems. Aegis AI is an advanced AI-driven cybersecurity framework designed to enhance cyber resilience by integrating intelligent threat detection, automated incident response, and adaptive learning. It leverages machine learning models to identify, predict, and mitigate cyber threats in real time, reducing response times and minimizing security breaches. By continuously updating its knowledge through federated learning and behavioural analytics, Aegis AI ensures proactive defense against evolving cyber threats, making digital ecosystems more secure and resilient. Aegis AI transforms cybersecurity by providing an intelligent, self-adaptive defense system that not only detects and mitigates threats in real time but also evolves with emerging cyber risks. By automating security responses and continuously learning from new threats, Aegis AI ensures a resilient, proactive, and future-proof cybersecurity framework, safeguarding digital assets with unmatched efficiency. Keywords: AI in Cybersecurity, Threat Intelligence, Machine Learning, Cyber Resilience, Automated Incident

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-26
DOI
https://doi.org/10.55041/ijsrem42978
Citations
1
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.48
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article

Aegis AI - Intelligent Cyber Resilience

P. Venkadesh
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Anomaly Detection Techniques and Applications
2.48
article

Aegis AI - Intelligent Cyber Resilience

P. Venkadesh
article en
1 citations

Abstract

As cyber threats continue to evolve in complexity and scale, traditional security measures have become insufficient. Aegis AI (AAI): Intelligent Cyber Resilience presents a cutting-edge approach that integrates artificial intelligence (AI) and machine learning (ML) to strengthen cybersecurity defenses. This study explores the role of AI-driven threat intelligence, automated incident response, and adaptive learning in combating cyberattacks. The proposed AAI framework utilizes deep learning, anomaly detection, and reinforcement learning techniques to predict and mitigate threats in real time. By enhancing cyber resilience, AAI reduces response times, minimizes false positives, and ensures robust security automation. The research also addresses adversarial machine learning risks and ethical concerns surrounding AI in cybersecurity. Our findings demonstrate that AI-powered security systems significantly improve detection accuracy and automate cyber defense strategies. Future research will focus on integrating federated learning, real-time behavioural analytics, and AI-driven compliance frameworks to further enhance AAI’s effectiveness in securing digital ecosystems. Aegis AI is an advanced AI-driven cybersecurity framework designed to enhance cyber resilience by integrating intelligent threat detection, automated incident response, and adaptive learning. It leverages machine learning models to identify, predict, and mitigate cyber threats in real time, reducing response times and minimizing security breaches. By continuously updating its knowledge through federated learning and behavioural analytics, Aegis AI ensures proactive defense against evolving cyber threats, making digital ecosystems more secure and resilient. Aegis AI transforms cybersecurity by providing an intelligent, self-adaptive defense system that not only detects and mitigates threats in real time but also evolves with emerging cyber risks. By automating security responses and continuously learning from new threats, Aegis AI ensures a resilient, proactive, and future-proof cybersecurity framework, safeguarding digital assets with unmatched efficiency. Keywords: AI in Cybersecurity, Threat Intelligence, Machine Learning, Cyber Resilience, Automated Incident

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 11%
Anomaly Detection Techniques and Applications
2.48
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