The Role of Large Language Models (LLMs) in Cybersecurity
The world of cybersecurity is being transformed by AI-powered Large Language Models (LLMs). These next-generation technologies go beyond traditional security solutions, offering high accuracy and speed in threat detection, vulnerability analysis, incident response, and compliance processes. Thanks to LLMs, security operations are becoming smarter, faster, and more effective.
We are pleased to share with you an article prepared by our colleague Can Cuma Yaman, which thoroughly explores the role of LLMs in cybersecurity, how they differ from classical tools, their advantages, challenges, and real-world use cases across various industries from automotive to finance.
In the article, you can find detailed information on the following topics:
- What are Large Language Models (LLMs)? How do they work in cybersecurity?
- How do LLMs differ from traditional security solutions?
- Advantages and challenges of LLM-based solutions
- Current LLM-powered cybersecurity applications
- The role of LLMs in vulnerability analysis and attack vector prediction
- Innovative approaches LLMs bring to threat intelligence
- Potential risks of LLMs and strategies to mitigate them
- Integration of LLMs with SOC, SIEM, and SOAR systems
- Industry-specific LLM use cases at Doğuş Teknoloji
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