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Exploring the Use of AI and Similarity Analysis in Security Operations
Similarity analysis in security operations has evolved from traditional methods such as file hashes to using modern AI architectures like vector databases. By embedding alerts in vector databases, AI can analyze and provide recommendations based on how similar alerts were triaged across a customer base. This approach aims to enhance the productivity of SOC level one analysts by providing context and guidance upfront, utilizing AI capabilities to streamline processes and leveraging collective insights from multiple organizations to improve security operations.