IBM Security QFlow & Vflow

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QFlow and VFlow slides

Transcript of IBM Security QFlow & Vflow

Page 1: IBM Security QFlow & Vflow

QFlow and VFlow slides

Page 2: IBM Security QFlow & Vflow

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Layer 7 traffic capture and analysis

for deep application insight

Network, application and user

activity monitoring

Full integration with QRadar SIEM

and QRadar Risk Manager

QRadar QFlow and QRadar VFlow Overview

QRadar QFlow monitors traffic in physical

environments and QRadar VFlow in virtual / cloud

environments to provide advanced flow collection and

analysis for Layer 7 visibility, via deep packet

inspection and stateful application classification

Key Capabilities Benefits

Reduce the risk and severity of

security breaches

Ensure regulatory and internal

policy compliance

Perform more complete and

accurate forensic investigations

Network and Application Visibility

Layer 7 application monitoring

Content capture

Network and Application Visibility

Layer 7 application monitoring

Content capture

Network and Application Visibility

Layer 7 application monitoring

Content capture

Network and Application Visibility

Layer 7 application monitoring

Content capture

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QRadar QFlow & VFlow: Application Layer visibility and content awareness

• Provides Layer 7 visibility and stateful

classification of applications and protocols

• Uses Deep Packet Inspection (DPI)

technology to sample payload content and

identify malicious transfers

• Passive activity monitoring helps identify

and automatically configure new hosts,

assets and services within QRadar SIEM

Core Features

VFlow delivers application layer visibility

of all virtual network traffic

Runs as virtual host software on the

virtual server, not requiring additional

hardware

Analyzes port mirrored traffic for a

physical network switch bridging gap

between physical and virtual realm

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Network traffic doesn’t lie. Attackers can stop logging and erase their tracks, but can’t cut off the network (flow data)

• Deep packet inspection for Layer 7 flow data

• Pivoting, drill-down and data mining on flow sources for advanced detection and forensics

Helps detect anomalies that might otherwise get missed

Enables visibility into attacker communications

Differentiated by network flow analytics

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Helps detect zero-day attacks that have no signature

Enables policy monitoring and rogue server identification

Provides visibility into all attacker communications

Uses passive monitoring to build asset profiles and classify hosts

Improves network visibility and helps resolve traffic problems

Flows provide context for true network intelligence

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