AI-Enabled OSSEC Framework for Power Sector

Abstract

In the dynamic realm of cybersecurity, where the sophistication of threats continues to escalate, the integration of AI-driven technologies into Security Operations Centers (SOC) presents a groundbreaking paradigm shift. This paper introduces an AI-enabled OSSEC (Open Source SECurity), which amalgamates advanced linguistic capabilities with the foundational core of Security Operations Centers. Traditional security setups often grapple with the overwhelming influx of data logs, hindering their ability to discern crucial patterns and respond effectively to potential threats. The AI-driven OSSEC addresses this challenge by harnessing natural language processing prowess to efficiently analyze and interpret diverse logs. This innovation not only streamlines the monitoring process but also empowers the system to identify nuanced anomalies that might evade conventional detection mechanisms. Furthermore, the AI-enabled OSSEC doesn't confine itself to analysis alone; it proactively provides actionable insights and strategies for mitigating identified risks. This proactive approach ensures organizations not only detect potential threats but also respond promptly with well-informed measures. Embracing this technology fortifies cybersecurity posture, enabling Security Operations Centers to navigate the complexities of the digital landscape with unparalleled agility and precision. This convergence of linguistic intelligence with cybersecurity operations signifies a monumental advancement in building a more resilient and responsive defense against the continuously evolving cyber threat landscape within the power sector.