Remove Architecture Remove Data collection 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

And now, early adopters of security data lakes like Snowflake are saving more than two-thirds of what they were paying for their Splunk license. The Cisco acquisition shall exacerbate these challenges and speed up the adoption of security data lakes.

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Introducing continuous remote worker visibility and expanded data collection with Secure Network Analytics Release 7.3.2

Cisco Security

User endpoints generate NVM data with rich and granular device context – such as IP addresses, host and user names, machine types and models, which operating systems and versions are running, the processes that launched network connectivity, MAC addresses, hash information, and more – that is all collected and stored in the Data Store.

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Introducing continuous remote worker visibility and expanded data collection with Secure Network Analytics Release 7.3.2

Cisco Security

User endpoints generate NVM data with rich and granular device context – such as IP addresses, host and user names, machine types and models, which operating systems and versions are running, the processes that launched network connectivity, MAC addresses, hash information, and more – that is all collected and stored in the Data Store.

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Left of SIEM? Right of SIEM? Get It Right!

Anton on Security

Mostly data collection. Data collection sounds conceptually simple, but operationally it is still very difficult for many organizations. land of data collection. Just as early SIM/SEM innovators struggled with collection [and then UEBAs did ], innovators in 2022 struggle with it as well.

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There’s much to love about SASE

Cisco Security

SASE architectures can equip organizations to more quickly adapt to new (and sometimes unexpected) scenarios – such as the massive migration of applications into the cloud, or a large percentage of the world’s workforce suddenly having to do their jobs remotely. SASE data shows promise. Source: Cisco Security Outcomes Study, Volume 2.

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

Digital Shadows

Agentic AI refers to an advanced artificial intelligence architecture designed to perform tasks autonomously. By automating routine tasks and providing real-time threat detection and response, agentic AI helps security teams focus on more strategic activities. What Is Agentic AI? Provide in-depth analysis for decision-making.

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Left of SIEM? Right of SIEM? Get It Right!

Security Boulevard

Mostly data collection. Data collection sounds conceptually simple, but operationally it is still very difficult for many organizations. land of data collection. Just as early SIM/SEM innovators struggled with collection [and then UEBAs did ], innovators in 2022 struggle with it as well. LEFT OF SIEM.