This blog post explores a growing trend: Chief Information Security Officers (CISOs) are transitioning from traditional Security Information and Event Management (SIEM) systems to security data lakes. Security data lakes offer several advantages over SIEMs, making them increasingly popular for threat detection and identity access management (IAM) visibility.
Security data lakes can store vast amounts of data, both structured and unstructured, at a lower relative cost compared to SIEMs. This scalability allows for comprehensive analysis of diverse data sources, a critical element for effective security operations.
Unlike SIEMs with limited data retention periods, security data lakes enable storage for months or even years. This extended access to historical data is invaluable for forensic analysis and investigating user activity. Additionally, security data lakes provide a more user-friendly approach compared to complex SIEM systems. This empowers a broader range of security analysts and data scientists to leverage advanced analytics and machine learning for more effective threat detection and response, particularly regarding identity threats.
The popular data cloud platform Snowflake facilitates the creation of a security ecosystem by offering pre-built integrations with various security solutions. These integrations can significantly reduce costs by eliminating data silos and enabling proactive threat detection with deeper insights into security events. Additionally, refined and enriched data from the security data lake can be fed into a SIEM for real-time event correlation and response orchestration.
Modern CISOs also recognize the importance of understanding their identity landscape. Many organizations utilize a multitude of identity tools, making it challenging to maintain visibility. Research indicates that roughly half of all organizations employ over 25 different systems to manage identity and access rights.
Oort, an identity analytics platform built on Snowflake, empowers CISOs to gain valuable insights from vast datasets. This allows organizations to overcome challenges associated with managing multiple identity tools while pursuing a security data lake strategy.
By combining Oort’s cutting-edge analytics, enriched data capabilities, and continuously evolving detection methods with Snowflake’s secure data cloud platform, security leaders gain a comprehensive and up-to-date solution tailored to address evolving identity threats. The blog post concludes with resources for further exploration.
