Traditional SIEM systems are outdated. Security management focused on data analytics and scalability is needed to address the increasing volume of data and evolving security needs. Fluency Security has a new approach.

SIEM players need to adapt to today’s IT, and new ideas and ways of dealing with data from companies like Fluency Security should be considered, as data analytics is vital in the security space.

See the demo: https://bit.ly/fluencydemo

Key Insights Into The Current State of The SIEM

πŸ“‰ Gartner no longer sees SIEM as a single product, indicating a shift in the industry’s focus away from traditional security management solutions.

πŸ•΅οΈβ€β™‚οΈ The paradigm shift is about evaluating and maintaining a state of the data independent of the database, rather than just searching through it.

πŸ•° Keeping security data for only 90 days may result in losing the ability to detect breaches that are typically detected after 200 days of activity. Security management is evolving beyond SIEM to include data collection, analysis, and storage for future investigation, with a focus on scalability and the ability to retain data for at least 270 days

πŸ’¬ “SLAs establish a metric, a goal. If you’re running an organization with zero goals, you’re running a mob.”

πŸ“‰ Structured objectives and continuous improvement can lead to company growth and increased profits.

πŸ“Š Solving the problem of data analytics should be something every company should be thinking about because it’s vital in the space of security.

πŸ’° Organizations can reduce costs in security management by analyzing and storing less data, while also considering operational efficiency and processing power in the connector.

Check out this other video about the impact of AI on cybersecurity.

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