SlideShare a Scribd company logo
1C O N F I D E N T I A L
SIEM Modernization
For The Situationally Aware Enterprise
2Confidential
Sensor & Analytic Fabrics
Kafka Aggregation Substrate Analytic Fabrics
SIEM, Lakes, Clouds
Sensor Fabrics
Logs, Netflow, PCAP
,,.
3Confidential
Events are Signals
Signals become Signatures
Signals have a diverse velocity & volume
Batch vs Non-Batch
Opportunistic Analytics
Automated Actuation/Attribution
Computational Situational Awareness
Situational Intelligence and New Requirements
4Confidential
Confluent Platform - Aware-in-Time Signature Processing
Publish and
subscribe to
streams of data
Netflix
velocity & volume
110101
010111
001101
100010
Forensic
stream storage
Persistent, Temporal
and Immutable
110101
010111
001101
100010
Process
streams of data
Aware-in-Time
Signature Processing
110101
010111
001101
100010
5Confidential
Confluent
Platform
SIEM/Log-Agg
Modernization
Confluent Platform
• High Velocity & Volume
• Immutable Logs
• Glue Silos Together
• Less noise to SIEM
• Traffic Multiplexing
• KSQL Dynamic Filtering
SIEM Modernization
• Asset Inventory
• Operational Compliance
• Log Aggregation
• Legacy Silo Integration
• SIEM Modernization
• Streaming ETL/Tagging
• Non-Batch Processing
6Confidential
SIEM Modernization
Kafka
Kafka Connect Integration, Curation, Detection Analytic FabricSensor
Fabric
Confluent
REST
Network
Traffic Confluent
Schema
Registry
Kafka
Connect
Kafka
Connect
Firewall
Logs
IDS Endpoints
Asset
Inventory
Arcsight,
QRadar
Splunk, Elastic
Legacy
Monitoring
Spark, Python ML
HDFS, S3, GCP
Forensic Archival
Gaussian Scrub
Internal
Systems
KSQL and KStreams
• Aggregation
• ML instantiation
• Enrichment
• Filtering
• Message Versioning
• Anomaly Detection
AI/ML Training
7Confidential
SIEM Modernization
5
ML/AI Integration
Instantiate
Models on
Streams
1
Source and
Sink
Aggregation
Kafka Connect
2
Tagging Filtering
Curation
Higher Fidelity
Feeds to SIEM
KStreams KSQL
3
Auditing/Compliance
Flight Data Recorder for
Enterprise
Scalable Commit Logs
Emerging
Use Cases
4
Enterprise-Scale
Situational Awareness
8C O N F I D E N T I A L
devSECops
Modernization
Threat Intelligence For The Enterprise
9Confidential
Confluent
Platform
devSECops
Modernization
Enabling
Aware-in-Time
Intelligence
Threat Intelligence
• Logs, Netflow, PCAP
• Signature Processing
• Anomaly Detection
• Automated Attribution
• Automated Actuation
Confluent Platform
• Scalable Traffic Broker
• Endpoint Feedforward
• Geospatial Tagging
• Signal Aggregation
• Modeler Feedback
10Confidential
Logs, Netflow and PCAP – The Threat Trifecta
• Low Velocity, Moderate Volume, Distributed Sources – Broad Signal/Noise Spectrum
• Batch Warehouses, After-Time, not Aware-in-Time – Forwarders and Parsers are often closed
Logs
Netflow
• Moderate Velocity, High Volume, Switch Egress Traffic Graph – High Signal/Noise Ratio
• Graph DBs are KV Store based - streams and commit logs support intelligent scrub
PCAP
• High Velocity, ridiculous Volume – Low Signal/Noise Ratio
• One Day, One 10GbE NIC, 1.3 trillion headers, 116TB/day
• Does contains the last piece of the signature
• Much of the value is in the header – payloads are heavy, but can be pre-filtered
11Confidential
devSECops Modernization
Value
1
SIEM
Migration
Legacy SOC
3
IDS/IPS
Modernization
2
New Sources
of Telemetry
5
Intuitive
Threat
Fabrics
Automated
Counter
Measures
4
12Confidential
Apache Kafka and
Confluent Platform
Enabling Intelligence For The Enterprise
Ad

More Related Content

What's hot (20)

Time series-analysis-using-an-event-streaming-platform -_v3_final
Time series-analysis-using-an-event-streaming-platform -_v3_finalTime series-analysis-using-an-event-streaming-platform -_v3_final
Time series-analysis-using-an-event-streaming-platform -_v3_final
confluent
 
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
HostedbyConfluent
 
What's new in confluent platform 5.4 online talk
What's new in confluent platform 5.4 online talkWhat's new in confluent platform 5.4 online talk
What's new in confluent platform 5.4 online talk
confluent
 
How a Data Mesh is Driving our Platform | Trey Hicks, Gloo
How a Data Mesh is Driving our Platform | Trey Hicks, GlooHow a Data Mesh is Driving our Platform | Trey Hicks, Gloo
How a Data Mesh is Driving our Platform | Trey Hicks, Gloo
HostedbyConfluent
 
Leveraging Mainframe Data for Modern Analytics
Leveraging Mainframe Data for Modern AnalyticsLeveraging Mainframe Data for Modern Analytics
Leveraging Mainframe Data for Modern Analytics
confluent
 
How a distributed graph analytics platform uses Apache Kafka for data ingesti...
How a distributed graph analytics platform uses Apache Kafka for data ingesti...How a distributed graph analytics platform uses Apache Kafka for data ingesti...
How a distributed graph analytics platform uses Apache Kafka for data ingesti...
HostedbyConfluent
 
Processing Real-Time Data at Scale: A streaming platform as a central nervous...
Processing Real-Time Data at Scale: A streaming platform as a central nervous...Processing Real-Time Data at Scale: A streaming platform as a central nervous...
Processing Real-Time Data at Scale: A streaming platform as a central nervous...
confluent
 
Elastically Scaling Kafka Using Confluent
Elastically Scaling Kafka Using ConfluentElastically Scaling Kafka Using Confluent
Elastically Scaling Kafka Using Confluent
confluent
 
HOP! Airlines Jets to Real Time
HOP! Airlines Jets to Real TimeHOP! Airlines Jets to Real Time
HOP! Airlines Jets to Real Time
confluent
 
Operational Analytics on Event Streams in Kafka
Operational Analytics on Event Streams in KafkaOperational Analytics on Event Streams in Kafka
Operational Analytics on Event Streams in Kafka
confluent
 
PCAP Graphs for Cybersecurity and System Tuning
PCAP Graphs for Cybersecurity and System TuningPCAP Graphs for Cybersecurity and System Tuning
PCAP Graphs for Cybersecurity and System Tuning
Dr. Mirko Kämpf
 
user Behavior Analysis with Session Windows and Apache Kafka's Streams API
user Behavior Analysis with Session Windows and Apache Kafka's Streams APIuser Behavior Analysis with Session Windows and Apache Kafka's Streams API
user Behavior Analysis with Session Windows and Apache Kafka's Streams API
confluent
 
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
HostedbyConfluent
 
Developing custom transformation in the Kafka connect to minimize data redund...
Developing custom transformation in the Kafka connect to minimize data redund...Developing custom transformation in the Kafka connect to minimize data redund...
Developing custom transformation in the Kafka connect to minimize data redund...
HostedbyConfluent
 
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
confluent
 
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
confluent
 
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
HostedbyConfluent
 
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
HostedbyConfluent
 
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
Big Data Spain
 
The Rise Of Event Streaming – Why Apache Kafka Changes Everything
The Rise Of Event Streaming – Why Apache Kafka Changes EverythingThe Rise Of Event Streaming – Why Apache Kafka Changes Everything
The Rise Of Event Streaming – Why Apache Kafka Changes Everything
Kai Wähner
 
Time series-analysis-using-an-event-streaming-platform -_v3_final
Time series-analysis-using-an-event-streaming-platform -_v3_finalTime series-analysis-using-an-event-streaming-platform -_v3_final
Time series-analysis-using-an-event-streaming-platform -_v3_final
confluent
 
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
Real-time Analytics with Upsert Using Apache Kafka and Apache Pinot | Yupeng ...
HostedbyConfluent
 
What's new in confluent platform 5.4 online talk
What's new in confluent platform 5.4 online talkWhat's new in confluent platform 5.4 online talk
What's new in confluent platform 5.4 online talk
confluent
 
How a Data Mesh is Driving our Platform | Trey Hicks, Gloo
How a Data Mesh is Driving our Platform | Trey Hicks, GlooHow a Data Mesh is Driving our Platform | Trey Hicks, Gloo
How a Data Mesh is Driving our Platform | Trey Hicks, Gloo
HostedbyConfluent
 
Leveraging Mainframe Data for Modern Analytics
Leveraging Mainframe Data for Modern AnalyticsLeveraging Mainframe Data for Modern Analytics
Leveraging Mainframe Data for Modern Analytics
confluent
 
How a distributed graph analytics platform uses Apache Kafka for data ingesti...
How a distributed graph analytics platform uses Apache Kafka for data ingesti...How a distributed graph analytics platform uses Apache Kafka for data ingesti...
How a distributed graph analytics platform uses Apache Kafka for data ingesti...
HostedbyConfluent
 
Processing Real-Time Data at Scale: A streaming platform as a central nervous...
Processing Real-Time Data at Scale: A streaming platform as a central nervous...Processing Real-Time Data at Scale: A streaming platform as a central nervous...
Processing Real-Time Data at Scale: A streaming platform as a central nervous...
confluent
 
Elastically Scaling Kafka Using Confluent
Elastically Scaling Kafka Using ConfluentElastically Scaling Kafka Using Confluent
Elastically Scaling Kafka Using Confluent
confluent
 
HOP! Airlines Jets to Real Time
HOP! Airlines Jets to Real TimeHOP! Airlines Jets to Real Time
HOP! Airlines Jets to Real Time
confluent
 
Operational Analytics on Event Streams in Kafka
Operational Analytics on Event Streams in KafkaOperational Analytics on Event Streams in Kafka
Operational Analytics on Event Streams in Kafka
confluent
 
PCAP Graphs for Cybersecurity and System Tuning
PCAP Graphs for Cybersecurity and System TuningPCAP Graphs for Cybersecurity and System Tuning
PCAP Graphs for Cybersecurity and System Tuning
Dr. Mirko Kämpf
 
user Behavior Analysis with Session Windows and Apache Kafka's Streams API
user Behavior Analysis with Session Windows and Apache Kafka's Streams APIuser Behavior Analysis with Session Windows and Apache Kafka's Streams API
user Behavior Analysis with Session Windows and Apache Kafka's Streams API
confluent
 
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
Streaming Data Lakes using Kafka Connect + Apache Hudi | Vinoth Chandar, Apac...
HostedbyConfluent
 
Developing custom transformation in the Kafka connect to minimize data redund...
Developing custom transformation in the Kafka connect to minimize data redund...Developing custom transformation in the Kafka connect to minimize data redund...
Developing custom transformation in the Kafka connect to minimize data redund...
HostedbyConfluent
 
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
confluent
 
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...
confluent
 
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka | ...
HostedbyConfluent
 
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
Safer Commutes & Streaming Data | George Padavick, Ohio Department of Transpo...
HostedbyConfluent
 
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
Big Data Spain
 
The Rise Of Event Streaming – Why Apache Kafka Changes Everything
The Rise Of Event Streaming – Why Apache Kafka Changes EverythingThe Rise Of Event Streaming – Why Apache Kafka Changes Everything
The Rise Of Event Streaming – Why Apache Kafka Changes Everything
Kai Wähner
 

Similar to SIEM Modernization: Build a Situationally Aware Organization with Apache Kafka® (20)

Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Paul Brebner
 
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Maya Lumbroso
 
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Dataconomy Media
 
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetes at Scale – Real-time Ano...
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetesat Scale – Real-time Ano...ApacheCon2019 Talk: Kafka, Cassandra and Kubernetesat Scale – Real-time Ano...
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetes at Scale – Real-time Ano...
Paul Brebner
 
Music city data Hail Hydrate! from stream to lake
Music city data Hail Hydrate! from stream to lakeMusic city data Hail Hydrate! from stream to lake
Music city data Hail Hydrate! from stream to lake
Timothy Spann
 
How to create effective NOC in Poland
How to create effective NOC in PolandHow to create effective NOC in Poland
How to create effective NOC in Poland
Kamil Grabowski
 
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
HostedbyConfluent
 
Data Stream Processing with Apache Flink
Data Stream Processing with Apache FlinkData Stream Processing with Apache Flink
Data Stream Processing with Apache Flink
Fabian Hueske
 
Stream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache ApexStream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache Apex
Apache Apex
 
Hail hydrate! from stream to lake using open source
Hail hydrate! from stream to lake using open sourceHail hydrate! from stream to lake using open source
Hail hydrate! from stream to lake using open source
Timothy Spann
 
Keystone - ApacheCon 2016
Keystone - ApacheCon 2016Keystone - ApacheCon 2016
Keystone - ApacheCon 2016
Peter Bakas
 
Cloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azureCloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azure
Timothy Spann
 
Debunking Common Myths in Stream Processing
Debunking Common Myths in Stream ProcessingDebunking Common Myths in Stream Processing
Debunking Common Myths in Stream Processing
DataWorks Summit/Hadoop Summit
 
Webinar: How to troubleshoot bandwidth hogs and take action.
Webinar: How to troubleshoot bandwidth hogs and take action.Webinar: How to troubleshoot bandwidth hogs and take action.
Webinar: How to troubleshoot bandwidth hogs and take action.
ManageEngine, Zoho Corporation
 
#lspe: Dynamic Scaling
#lspe: Dynamic Scaling #lspe: Dynamic Scaling
#lspe: Dynamic Scaling
steveshah
 
Real-time-RTP-analysis
Real-time-RTP-analysisReal-time-RTP-analysis
Real-time-RTP-analysis
Sevana Oü
 
OpenStack High Availability
OpenStack High AvailabilityOpenStack High Availability
OpenStack High Availability
Jakub Pavlik
 
OpenStack HA
OpenStack HAOpenStack HA
OpenStack HA
tcp cloud
 
Stephen Cantrell, kdb+ Developer at Kx Systems “Kdb+: How Wall Street Tech c...
Stephen Cantrell, kdb+ Developer at Kx Systems  “Kdb+: How Wall Street Tech c...Stephen Cantrell, kdb+ Developer at Kx Systems  “Kdb+: How Wall Street Tech c...
Stephen Cantrell, kdb+ Developer at Kx Systems “Kdb+: How Wall Street Tech c...
Dataconomy Media
 
Architectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark StreamingArchitectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark Streaming
Apache Apex
 
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Melbourne Big Data Meetup Talk: Scaling a Real-Time Anomaly Detection Applica...
Paul Brebner
 
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Maya Lumbroso
 
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Ronan Corkery, kdb+ developer at Kx Systems: “Kdb+: How Wall Street Tech can ...
Dataconomy Media
 
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetes at Scale – Real-time Ano...
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetesat Scale – Real-time Ano...ApacheCon2019 Talk: Kafka, Cassandra and Kubernetesat Scale – Real-time Ano...
ApacheCon2019 Talk: Kafka, Cassandra and Kubernetes at Scale – Real-time Ano...
Paul Brebner
 
Music city data Hail Hydrate! from stream to lake
Music city data Hail Hydrate! from stream to lakeMusic city data Hail Hydrate! from stream to lake
Music city data Hail Hydrate! from stream to lake
Timothy Spann
 
How to create effective NOC in Poland
How to create effective NOC in PolandHow to create effective NOC in Poland
How to create effective NOC in Poland
Kamil Grabowski
 
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
HostedbyConfluent
 
Data Stream Processing with Apache Flink
Data Stream Processing with Apache FlinkData Stream Processing with Apache Flink
Data Stream Processing with Apache Flink
Fabian Hueske
 
Stream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache ApexStream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache Apex
Apache Apex
 
Hail hydrate! from stream to lake using open source
Hail hydrate! from stream to lake using open sourceHail hydrate! from stream to lake using open source
Hail hydrate! from stream to lake using open source
Timothy Spann
 
Keystone - ApacheCon 2016
Keystone - ApacheCon 2016Keystone - ApacheCon 2016
Keystone - ApacheCon 2016
Peter Bakas
 
Cloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azureCloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azure
Timothy Spann
 
Webinar: How to troubleshoot bandwidth hogs and take action.
Webinar: How to troubleshoot bandwidth hogs and take action.Webinar: How to troubleshoot bandwidth hogs and take action.
Webinar: How to troubleshoot bandwidth hogs and take action.
ManageEngine, Zoho Corporation
 
#lspe: Dynamic Scaling
#lspe: Dynamic Scaling #lspe: Dynamic Scaling
#lspe: Dynamic Scaling
steveshah
 
Real-time-RTP-analysis
Real-time-RTP-analysisReal-time-RTP-analysis
Real-time-RTP-analysis
Sevana Oü
 
OpenStack High Availability
OpenStack High AvailabilityOpenStack High Availability
OpenStack High Availability
Jakub Pavlik
 
OpenStack HA
OpenStack HAOpenStack HA
OpenStack HA
tcp cloud
 
Stephen Cantrell, kdb+ Developer at Kx Systems “Kdb+: How Wall Street Tech c...
Stephen Cantrell, kdb+ Developer at Kx Systems  “Kdb+: How Wall Street Tech c...Stephen Cantrell, kdb+ Developer at Kx Systems  “Kdb+: How Wall Street Tech c...
Stephen Cantrell, kdb+ Developer at Kx Systems “Kdb+: How Wall Street Tech c...
Dataconomy Media
 
Architectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark StreamingArchitectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark Streaming
Apache Apex
 
Ad

More from confluent (20)

Webinar Think Right - Shift Left - 19-03-2025.pptx
Webinar Think Right - Shift Left - 19-03-2025.pptxWebinar Think Right - Shift Left - 19-03-2025.pptx
Webinar Think Right - Shift Left - 19-03-2025.pptx
confluent
 
Migration, backup and restore made easy using Kannika
Migration, backup and restore made easy using KannikaMigration, backup and restore made easy using Kannika
Migration, backup and restore made easy using Kannika
confluent
 
Five Things You Need to Know About Data Streaming in 2025
Five Things You Need to Know About Data Streaming in 2025Five Things You Need to Know About Data Streaming in 2025
Five Things You Need to Know About Data Streaming in 2025
confluent
 
Data in Motion Tour Seoul 2024 - Keynote
Data in Motion Tour Seoul 2024 - KeynoteData in Motion Tour Seoul 2024 - Keynote
Data in Motion Tour Seoul 2024 - Keynote
confluent
 
Data in Motion Tour Seoul 2024 - Roadmap Demo
Data in Motion Tour Seoul 2024  - Roadmap DemoData in Motion Tour Seoul 2024  - Roadmap Demo
Data in Motion Tour Seoul 2024 - Roadmap Demo
confluent
 
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
confluent
 
Confluent per il settore FSI: Accelerare l'Innovazione con il Data Streaming...
Confluent per il settore FSI:  Accelerare l'Innovazione con il Data Streaming...Confluent per il settore FSI:  Accelerare l'Innovazione con il Data Streaming...
Confluent per il settore FSI: Accelerare l'Innovazione con il Data Streaming...
confluent
 
Data in Motion Tour 2024 Riyadh, Saudi Arabia
Data in Motion Tour 2024 Riyadh, Saudi ArabiaData in Motion Tour 2024 Riyadh, Saudi Arabia
Data in Motion Tour 2024 Riyadh, Saudi Arabia
confluent
 
Build a Real-Time Decision Support Application for Financial Market Traders w...
Build a Real-Time Decision Support Application for Financial Market Traders w...Build a Real-Time Decision Support Application for Financial Market Traders w...
Build a Real-Time Decision Support Application for Financial Market Traders w...
confluent
 
Strumenti e Strategie di Stream Governance con Confluent Platform
Strumenti e Strategie di Stream Governance con Confluent PlatformStrumenti e Strategie di Stream Governance con Confluent Platform
Strumenti e Strategie di Stream Governance con Confluent Platform
confluent
 
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not WeeksCompose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
confluent
 
Building Real-Time Gen AI Applications with SingleStore and Confluent
Building Real-Time Gen AI Applications with SingleStore and ConfluentBuilding Real-Time Gen AI Applications with SingleStore and Confluent
Building Real-Time Gen AI Applications with SingleStore and Confluent
confluent
 
Unlocking value with event-driven architecture by Confluent
Unlocking value with event-driven architecture by ConfluentUnlocking value with event-driven architecture by Confluent
Unlocking value with event-driven architecture by Confluent
confluent
 
Il Data Streaming per un’AI real-time di nuova generazione
Il Data Streaming per un’AI real-time di nuova generazioneIl Data Streaming per un’AI real-time di nuova generazione
Il Data Streaming per un’AI real-time di nuova generazione
confluent
 
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
confluent
 
Break data silos with real-time connectivity using Confluent Cloud Connectors
Break data silos with real-time connectivity using Confluent Cloud ConnectorsBreak data silos with real-time connectivity using Confluent Cloud Connectors
Break data silos with real-time connectivity using Confluent Cloud Connectors
confluent
 
Building API data products on top of your real-time data infrastructure
Building API data products on top of your real-time data infrastructureBuilding API data products on top of your real-time data infrastructure
Building API data products on top of your real-time data infrastructure
confluent
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
confluent
 
Evolving Data Governance for the Real-time Streaming and AI Era
Evolving Data Governance for the Real-time Streaming and AI EraEvolving Data Governance for the Real-time Streaming and AI Era
Evolving Data Governance for the Real-time Streaming and AI Era
confluent
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
confluent
 
Webinar Think Right - Shift Left - 19-03-2025.pptx
Webinar Think Right - Shift Left - 19-03-2025.pptxWebinar Think Right - Shift Left - 19-03-2025.pptx
Webinar Think Right - Shift Left - 19-03-2025.pptx
confluent
 
Migration, backup and restore made easy using Kannika
Migration, backup and restore made easy using KannikaMigration, backup and restore made easy using Kannika
Migration, backup and restore made easy using Kannika
confluent
 
Five Things You Need to Know About Data Streaming in 2025
Five Things You Need to Know About Data Streaming in 2025Five Things You Need to Know About Data Streaming in 2025
Five Things You Need to Know About Data Streaming in 2025
confluent
 
Data in Motion Tour Seoul 2024 - Keynote
Data in Motion Tour Seoul 2024 - KeynoteData in Motion Tour Seoul 2024 - Keynote
Data in Motion Tour Seoul 2024 - Keynote
confluent
 
Data in Motion Tour Seoul 2024 - Roadmap Demo
Data in Motion Tour Seoul 2024  - Roadmap DemoData in Motion Tour Seoul 2024  - Roadmap Demo
Data in Motion Tour Seoul 2024 - Roadmap Demo
confluent
 
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
From Stream to Screen: Real-Time Data Streaming to Web Frontends with Conflue...
confluent
 
Confluent per il settore FSI: Accelerare l'Innovazione con il Data Streaming...
Confluent per il settore FSI:  Accelerare l'Innovazione con il Data Streaming...Confluent per il settore FSI:  Accelerare l'Innovazione con il Data Streaming...
Confluent per il settore FSI: Accelerare l'Innovazione con il Data Streaming...
confluent
 
Data in Motion Tour 2024 Riyadh, Saudi Arabia
Data in Motion Tour 2024 Riyadh, Saudi ArabiaData in Motion Tour 2024 Riyadh, Saudi Arabia
Data in Motion Tour 2024 Riyadh, Saudi Arabia
confluent
 
Build a Real-Time Decision Support Application for Financial Market Traders w...
Build a Real-Time Decision Support Application for Financial Market Traders w...Build a Real-Time Decision Support Application for Financial Market Traders w...
Build a Real-Time Decision Support Application for Financial Market Traders w...
confluent
 
Strumenti e Strategie di Stream Governance con Confluent Platform
Strumenti e Strategie di Stream Governance con Confluent PlatformStrumenti e Strategie di Stream Governance con Confluent Platform
Strumenti e Strategie di Stream Governance con Confluent Platform
confluent
 
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not WeeksCompose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
Compose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks
confluent
 
Building Real-Time Gen AI Applications with SingleStore and Confluent
Building Real-Time Gen AI Applications with SingleStore and ConfluentBuilding Real-Time Gen AI Applications with SingleStore and Confluent
Building Real-Time Gen AI Applications with SingleStore and Confluent
confluent
 
Unlocking value with event-driven architecture by Confluent
Unlocking value with event-driven architecture by ConfluentUnlocking value with event-driven architecture by Confluent
Unlocking value with event-driven architecture by Confluent
confluent
 
Il Data Streaming per un’AI real-time di nuova generazione
Il Data Streaming per un’AI real-time di nuova generazioneIl Data Streaming per un’AI real-time di nuova generazione
Il Data Streaming per un’AI real-time di nuova generazione
confluent
 
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...
confluent
 
Break data silos with real-time connectivity using Confluent Cloud Connectors
Break data silos with real-time connectivity using Confluent Cloud ConnectorsBreak data silos with real-time connectivity using Confluent Cloud Connectors
Break data silos with real-time connectivity using Confluent Cloud Connectors
confluent
 
Building API data products on top of your real-time data infrastructure
Building API data products on top of your real-time data infrastructureBuilding API data products on top of your real-time data infrastructure
Building API data products on top of your real-time data infrastructure
confluent
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
confluent
 
Evolving Data Governance for the Real-time Streaming and AI Era
Evolving Data Governance for the Real-time Streaming and AI EraEvolving Data Governance for the Real-time Streaming and AI Era
Evolving Data Governance for the Real-time Streaming and AI Era
confluent
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
confluent
 
Ad

Recently uploaded (20)

Electronic_Mail_Attacks-1-35.pdf by xploit
Electronic_Mail_Attacks-1-35.pdf by xploitElectronic_Mail_Attacks-1-35.pdf by xploit
Electronic_Mail_Attacks-1-35.pdf by xploit
niftliyevhuseyn
 
TrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business ConsultingTrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business Consulting
Trs Labs
 
Mastering Advance Window Functions in SQL.pdf
Mastering Advance Window Functions in SQL.pdfMastering Advance Window Functions in SQL.pdf
Mastering Advance Window Functions in SQL.pdf
Spiral Mantra
 
Greenhouse_Monitoring_Presentation.pptx.
Greenhouse_Monitoring_Presentation.pptx.Greenhouse_Monitoring_Presentation.pptx.
Greenhouse_Monitoring_Presentation.pptx.
hpbmnnxrvb
 
Top 10 IT Help Desk Outsourcing Services
Top 10 IT Help Desk Outsourcing ServicesTop 10 IT Help Desk Outsourcing Services
Top 10 IT Help Desk Outsourcing Services
Infrassist Technologies Pvt. Ltd.
 
Big Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur MorganBig Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur Morgan
Arthur Morgan
 
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath MaestroDev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
UiPathCommunity
 
TrsLabs Consultants - DeFi, WEb3, Token Listing
TrsLabs Consultants - DeFi, WEb3, Token ListingTrsLabs Consultants - DeFi, WEb3, Token Listing
TrsLabs Consultants - DeFi, WEb3, Token Listing
Trs Labs
 
tecnologias de las primeras civilizaciones.pdf
tecnologias de las primeras civilizaciones.pdftecnologias de las primeras civilizaciones.pdf
tecnologias de las primeras civilizaciones.pdf
fjgm517
 
ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes Partner Innovation Updates for May 2025ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes
 
HCL Nomad Web – Best Practices and Managing Multiuser Environments
HCL Nomad Web – Best Practices and Managing Multiuser EnvironmentsHCL Nomad Web – Best Practices and Managing Multiuser Environments
HCL Nomad Web – Best Practices and Managing Multiuser Environments
panagenda
 
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-UmgebungenHCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
panagenda
 
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPathCommunity
 
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Aqusag Technologies
 
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfSAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
Precisely
 
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdfAre Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Telecoms Supermarket
 
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfThe Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
Abi john
 
Cyber Awareness overview for 2025 month of security
Cyber Awareness overview for 2025 month of securityCyber Awareness overview for 2025 month of security
Cyber Awareness overview for 2025 month of security
riccardosl1
 
Heap, Types of Heap, Insertion and Deletion
Heap, Types of Heap, Insertion and DeletionHeap, Types of Heap, Insertion and Deletion
Heap, Types of Heap, Insertion and Deletion
Jaydeep Kale
 
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxIncreasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Anoop Ashok
 
Electronic_Mail_Attacks-1-35.pdf by xploit
Electronic_Mail_Attacks-1-35.pdf by xploitElectronic_Mail_Attacks-1-35.pdf by xploit
Electronic_Mail_Attacks-1-35.pdf by xploit
niftliyevhuseyn
 
TrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business ConsultingTrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business Consulting
Trs Labs
 
Mastering Advance Window Functions in SQL.pdf
Mastering Advance Window Functions in SQL.pdfMastering Advance Window Functions in SQL.pdf
Mastering Advance Window Functions in SQL.pdf
Spiral Mantra
 
Greenhouse_Monitoring_Presentation.pptx.
Greenhouse_Monitoring_Presentation.pptx.Greenhouse_Monitoring_Presentation.pptx.
Greenhouse_Monitoring_Presentation.pptx.
hpbmnnxrvb
 
Big Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur MorganBig Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur Morgan
Arthur Morgan
 
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath MaestroDev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
UiPathCommunity
 
TrsLabs Consultants - DeFi, WEb3, Token Listing
TrsLabs Consultants - DeFi, WEb3, Token ListingTrsLabs Consultants - DeFi, WEb3, Token Listing
TrsLabs Consultants - DeFi, WEb3, Token Listing
Trs Labs
 
tecnologias de las primeras civilizaciones.pdf
tecnologias de las primeras civilizaciones.pdftecnologias de las primeras civilizaciones.pdf
tecnologias de las primeras civilizaciones.pdf
fjgm517
 
ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes Partner Innovation Updates for May 2025ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes Partner Innovation Updates for May 2025
ThousandEyes
 
HCL Nomad Web – Best Practices and Managing Multiuser Environments
HCL Nomad Web – Best Practices and Managing Multiuser EnvironmentsHCL Nomad Web – Best Practices and Managing Multiuser Environments
HCL Nomad Web – Best Practices and Managing Multiuser Environments
panagenda
 
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-UmgebungenHCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
panagenda
 
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPathCommunity
 
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Aqusag Technologies
 
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfSAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
Precisely
 
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdfAre Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Are Cloud PBX Providers in India Reliable for Small Businesses (1).pdf
Telecoms Supermarket
 
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfThe Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
Abi john
 
Cyber Awareness overview for 2025 month of security
Cyber Awareness overview for 2025 month of securityCyber Awareness overview for 2025 month of security
Cyber Awareness overview for 2025 month of security
riccardosl1
 
Heap, Types of Heap, Insertion and Deletion
Heap, Types of Heap, Insertion and DeletionHeap, Types of Heap, Insertion and Deletion
Heap, Types of Heap, Insertion and Deletion
Jaydeep Kale
 
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxIncreasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Anoop Ashok
 

SIEM Modernization: Build a Situationally Aware Organization with Apache Kafka®

  • 1. 1C O N F I D E N T I A L SIEM Modernization For The Situationally Aware Enterprise
  • 2. 2Confidential Sensor & Analytic Fabrics Kafka Aggregation Substrate Analytic Fabrics SIEM, Lakes, Clouds Sensor Fabrics Logs, Netflow, PCAP ,,.
  • 3. 3Confidential Events are Signals Signals become Signatures Signals have a diverse velocity & volume Batch vs Non-Batch Opportunistic Analytics Automated Actuation/Attribution Computational Situational Awareness Situational Intelligence and New Requirements
  • 4. 4Confidential Confluent Platform - Aware-in-Time Signature Processing Publish and subscribe to streams of data Netflix velocity & volume 110101 010111 001101 100010 Forensic stream storage Persistent, Temporal and Immutable 110101 010111 001101 100010 Process streams of data Aware-in-Time Signature Processing 110101 010111 001101 100010
  • 5. 5Confidential Confluent Platform SIEM/Log-Agg Modernization Confluent Platform • High Velocity & Volume • Immutable Logs • Glue Silos Together • Less noise to SIEM • Traffic Multiplexing • KSQL Dynamic Filtering SIEM Modernization • Asset Inventory • Operational Compliance • Log Aggregation • Legacy Silo Integration • SIEM Modernization • Streaming ETL/Tagging • Non-Batch Processing
  • 6. 6Confidential SIEM Modernization Kafka Kafka Connect Integration, Curation, Detection Analytic FabricSensor Fabric Confluent REST Network Traffic Confluent Schema Registry Kafka Connect Kafka Connect Firewall Logs IDS Endpoints Asset Inventory Arcsight, QRadar Splunk, Elastic Legacy Monitoring Spark, Python ML HDFS, S3, GCP Forensic Archival Gaussian Scrub Internal Systems KSQL and KStreams • Aggregation • ML instantiation • Enrichment • Filtering • Message Versioning • Anomaly Detection AI/ML Training
  • 7. 7Confidential SIEM Modernization 5 ML/AI Integration Instantiate Models on Streams 1 Source and Sink Aggregation Kafka Connect 2 Tagging Filtering Curation Higher Fidelity Feeds to SIEM KStreams KSQL 3 Auditing/Compliance Flight Data Recorder for Enterprise Scalable Commit Logs Emerging Use Cases 4 Enterprise-Scale Situational Awareness
  • 8. 8C O N F I D E N T I A L devSECops Modernization Threat Intelligence For The Enterprise
  • 9. 9Confidential Confluent Platform devSECops Modernization Enabling Aware-in-Time Intelligence Threat Intelligence • Logs, Netflow, PCAP • Signature Processing • Anomaly Detection • Automated Attribution • Automated Actuation Confluent Platform • Scalable Traffic Broker • Endpoint Feedforward • Geospatial Tagging • Signal Aggregation • Modeler Feedback
  • 10. 10Confidential Logs, Netflow and PCAP – The Threat Trifecta • Low Velocity, Moderate Volume, Distributed Sources – Broad Signal/Noise Spectrum • Batch Warehouses, After-Time, not Aware-in-Time – Forwarders and Parsers are often closed Logs Netflow • Moderate Velocity, High Volume, Switch Egress Traffic Graph – High Signal/Noise Ratio • Graph DBs are KV Store based - streams and commit logs support intelligent scrub PCAP • High Velocity, ridiculous Volume – Low Signal/Noise Ratio • One Day, One 10GbE NIC, 1.3 trillion headers, 116TB/day • Does contains the last piece of the signature • Much of the value is in the header – payloads are heavy, but can be pre-filtered
  • 11. 11Confidential devSECops Modernization Value 1 SIEM Migration Legacy SOC 3 IDS/IPS Modernization 2 New Sources of Telemetry 5 Intuitive Threat Fabrics Automated Counter Measures 4
  • 12. 12Confidential Apache Kafka and Confluent Platform Enabling Intelligence For The Enterprise