SECURE BY INTELLIGENCE: ENHANCING PRODUCTS WITH AI-DRIVEN SECURITY MEASURES

Authors

  • Sakthiswaran Rangaraju Product Security Leader, Pure Storage

DOI:

https://doi.org/10.53555/ephijse.v9i3.212

Keywords:

AI-driven security, Cybersecurity, Artificial Intelligence, Threat detection, Anomaly detection, Machine learning

Abstract

In an increasingly interconnected digital landscape, the proliferation of sophisticated cyber threats poses significant challenges to the security and integrity of products and services. As traditional security measures struggle to keep pace with evolving threats, there exists a pressing need for innovative and adaptive approaches to safeguarding digital assets. This abstract introduces the concept of "Secure by Intelligence," a paradigm shift in product security that leverages the power of Artificial Intelligence (AI) to fortify defenses and proactively mitigate risks. This paper explores the integration of AI-driven security measures as a foundational element in enhancing the resilience of various products across industries. It delves into the core principles of AI-powered security, emphasizing the utilization of machine learning, deep learning, natural language processing, and anomaly detection to predict, detect, and respond to potential threats in real time. The key focus areas include Dynamic Threat Detection and Prediction, Behavioral Analysis and Anomaly Detection, and Automated Response and Adaptation: Through AI-based automation, systems can autonomously respond to security incidents, mitigating risks in real-time. Furthermore, adaptive AI systems learn from each encounter, enhancing their ability to preempt future attacks. Privacy-Preserving Solutions, Cross-Industry Applications. This paper illustrates real-world case studies and implementations where AI-driven security measures have significantly bolstered product security and resilience. It highlights the tangible advantages of adopting AI-centric security solutions, including improved threat detection accuracy, reduced response times, and enhanced adaptability to emerging cyber threats.

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Published

2023-12-01