The SIEM is DEAD! Discover The Future Of Security Management

Traditional SIEM systems are outdated.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

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

🕵️‍♂️ The paradigm shift is about evaluating and maintaining a state of the data independent of the database, rather than just searching through it.

🕰 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

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

📉 Structured objectives and continuous improvement can lead to company growth and increased profits.

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

💰 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.

SIEM Databases Are Outdated

Traditional SIEM systems collect and store vast amounts of log data in centralized databases, analyzing it in batches. While this approach served us well in the past, it’s increasingly inadequate for modern cybersecurity challenges. The sheer volume and velocity of data generated by today’s complex IT environments have outpaced the capabilities of these legacy systems.

Enter real-time streaming analytics – a game-changing approach that’s revolutionizing threat detection and response. By processing data in motion, without first storing it in a database, streaming analytics offers several key advantages:

Faster threat detection: Streaming analytics can identify potential threats as they happen, not minutes or hours later when a batch process runs.
Reduced response times: With real-time insights, security teams can react immediately to emerging threats, dramatically cutting response and remediation times.
Improved scalability: Streaming architectures can handle massive data volumes more efficiently than traditional database systems.
Enhanced context: By correlating events in real-time across multiple data sources, streaming analytics provides richer, more actionable intelligence.
Lower costs: Eliminating the need for extensive data storage can significantly reduce infrastructure costs.

As cyber threats become increasingly sophisticated and fast-moving, the limitations of traditional SIEM solutions are becoming more apparent. Organizations that cling to these outdated systems risk falling behind in the cybersecurity arms race.

It’s time for a paradigm shift. By embracing real-time streaming analytics, businesses can stay ahead of threats, respond more quickly to incidents, and build a more robust security posture. The future of SIEM is streaming – don’t get left behind. Check out Fluency Security and find out why their platform is the future.

The SIEM is DEAD! Discover The Future Of Security Management

Key Insights Into The Current State of The SIEM

SIEM Databases Are Outdated

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