Remove Data collection Remove Engineering Remove Threat Detection
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GUEST ESSAY: Cisco-Splunk merger will boost Snowflake – here’s how security teams can benefit.

The Last Watchdog

Splunk’s inability to migrate to a modern cloud-native architecture makes it difficult to take advantage of these cost-saving benefits or implement advanced data science use cases critical for threat detection. The Cisco acquisition shall exacerbate these challenges and speed up the adoption of security data lakes.

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Decoupled SIEM: Brilliant or Stupid?

Anton on Security

The second part of the answer would be to outline the type of an organization that would very much prefer the decoupled SIEM where the best collection and modern storage somehow harmoniously work with the best threat detection and response content. (B) Anything else to add?

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SOC Technology Failures?—?Do They Matter?

Anton on Security

Data collection failures still plague many SOCs. Now, again, one can also blame this on people and processes (especially, those people in IT who just didn’t give us the data). It’s far too often that vendors showcase a product’s abilities in it’s best and perfect use case, without little regard to scale.

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Report Finds Over 50% of Security Practitioners Are Unhappy With Current SIEM Vendor

CyberSecurity Insiders

Analysts find dealing with data collected from numerous hosts within an enterprise to be a daunting task. The time necessary to acquire security data, the rigidity around how the data can be analyzed, and the speed at which data can be processed make these tools less useful than they should be.

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MSSP Focus: Three ways your SIEM (even NG-SIEM) is hurting your ability to grow

CyberSecurity Insiders

Instead, many are looking to do a better job of identifying and mitigating threats before they can harm their business. SIEMs , in their inherent, built-in bias to complete data collection, means that a security team looking to identify threats will wade through oceans of irrelevant log data in the hopes of uncovering a danger.

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Agentic AI vs Generative AI: SecOps Automation and the Era of Multi-AI-Agent Systems

Digital Shadows

By automating routine tasks and providing real-time threat detection and response, agentic AI helps security teams focus on more strategic activities. Applications of Agentic AI in Security Operations Agentic AI is widely used in automated threat detection systems that analyze network traffic and respond to anomalies instantly.

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The Greatest Asset Becomes the Biggest Risk

CyberSecurity Insiders

It also empowers business owners to easily see, understand and act on contextual intelligence using scoring frameworks proven to stop insider threats, prevent data loss, maximize software investments and protect the workforce, wherever they may be.

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