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Unclaimed ProfileThe "AI-Driven SOC: Fundamentals of Security Operations" course, designed by cybersecurity expert Mana Dowlatshahi Yeganeh, serves as a comprehensive gateway into the next generation of digital defense. As modern cyber threats grow exponentially in both volume and sophistication, traditional, manual Security Operations Centers (SOCs) struggle to keep pace. This course bridges the gap by introducing students to the transformative power of Artificial Intelligence and intelligent automation in cybersecurity operations. Participants will explore how machine learning models, automated orchestration, and natural language processing can be seamlessly integrated into triaging alerts, hunting threats, and mitigating incidents in real-time. Designed specifically for security analysts, IT administrators, and aspiring cybersecurity engineers, this curriculum provides a solid foundation in the core methodologies of modern threat detection and response. By understanding how to reduce mean time to detect (MTTD) and mean time to respond (MTTR) through AI integration, learners will position themselves at the cutting edge of the cybersecurity job market, equipped to defend enterprise-level architectures against advanced persistent threats.
About the creator
Mana Dowlatshahi Yeganeh
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Mana Dowlatshahi Yeganeh is a multidisciplinary educator and strategic advisor specializing at the intersection of emerging technologies, organizational leadership, and professional communication. With a diverse portfolio of expertise ranging from Generative AI strategy and Security Operations (SOC) to corporate sales enablement and Business English, Mana equips modern professionals and executives with the tools required to thrive in a rapidly changing corporate landscape. Her educational philosophy focuses on bridging technical complexity with actionable business applications. Whether guiding a CEO through the strategic integration of AI tools, instructing operational leaders on supply chain optimization, or coaching individuals on building a powerful personal…Show more
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Program Overview
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Understand the architectural transition from traditional Security Operations Centers (SOCs) to modern, AI-enhanced, automated SOC environments.
- Implement machine learning algorithms and heuristic models to automate alert triage, drastically reducing alert fatigue for security analysts.
- Apply Security Orchestration, Automation, and Response (SOAR) principles to build automated playbooks for recurring security incidents.
- Leverage generative AI and natural language processing tools to accelerate threat hunting, log analysis, and incident report generation.
- Evaluate and mitigate the unique risks associated with deploying AI tools in defensive security, including adversarial machine learning and data privacy concerns.
- Measure and optimize key performance indicators (KPIs) like Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) using automated metrics.
Best For
- SOC analysts looking to modernize their workflow with automation tools
- Cybersecurity professionals interested in integrating machine learning into threat detection
- IT security administrators aiming to reduce alert fatigue through SOAR implementation
- Incident responders who want to decrease MTTD and MTTR metrics
Not For
- Total beginners with no prior knowledge of networking or cybersecurity fundamentals
- Software developers looking to build AI models from scratch rather than applying them to security
- Non-technical management professionals seeking high-level cybersecurity policy overviews
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