Written by 11:45 am AI Security

### Impact of Artificial Intelligence and Large Language Models on SOAR and SOC: Insights from an MSSP Perspective

AI will create a new SOAR, one that moves at the speed of an attack and not just in response to one…

Artificial intelligence (AI) is already exerting a significant influence on cybersecurity. Both defenders and attackers are leveraging AI as a tool, with 71% of security professionals suspecting that nation-states might be utilizing Chat GPT for malicious purposes. Moreover, 85% attribute the rising risk landscape to conceptual AI.

Focusing on enhancing our defensive capabilities, AI has the potential to revolutionize human workflows. By harnessing AI, we aim to outmaneuver cyber threats and fortify our defensive stance with increased precision. Whether operating as an MSSP, SOC, or SOAR entity, the imperative remains to bolster threat detection, expedite response times, and assemble a proficient workforce capable of addressing complex challenges that could jeopardize organizational integrity.

AI facilitates cognitive growth, learning, and task execution through adaptive methodologies. Continuously assimilating insights from diverse sources, structured systems, and social media realms, AI empowers users with a wealth of knowledge and adaptability.

The utilization of AI in scrutinizing vast datasets to identify anomalies or streamline responses to security incidents is pivotal. Leading to exceptional outcomes in cyber threat detection and response, Large Language Models (LLMs) and AI tools such as SecurityBERT and falklandM have showcased remarkable accuracy rates of 98% in initial trials, surpassing conventional ML/Rules engine frameworks. This advancement accelerates the SOC’s incident recognition and resolution processes.

The conventional paradigm of manual intervention has been supplanted by AI’s rapid and precise automated responses, heralding a transformative era in cybersecurity. AI is poised to usher in a proactive defense mechanism that anticipates and neutralizes threats, representing a paradigm shift in cybersecurity strategies.

The efficacy of AI in various domains is underscored by its capabilities in automation, root-cause analysis, predictive risk assessment, and informed decision-making during security incidents. By enhancing Mean Time to Detect and Mean Time to Respond (MTTD and MTTR), AI equips SOC teams with the requisite insights to swiftly address evolving threats and make informed decisions in real-time.

AI’s pivotal role in fortifying 247 SOCs is paramount, enhancing operational efficiency, strategic acumen, and threat mitigation capabilities. To navigate the evolving threat landscape, organizations across the spectrum must embrace AI-driven security solutions. Even small and medium-sized businesses (SMBs) can access cutting-edge LLMs and AI-powered cybersecurity through AI/LLM-based Stack as-a-Service offerings, ensuring comprehensive protection against cyber threats.

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Last modified: January 17, 2024
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