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Elastic at KPN

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Elasticsearch
Elasticsearch

Modern Threat Intelligence and Security Analytics

Technologie
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!1 Han Pieterse, Senior Solution Consultant, KPN Marius Iversen, Senior Platform Engineer, KPN Elastic @ KPN: Modern Threat Intelligence and Security Analytics
!2 KPN Security Services
!3 Agenda ▪ Who are we and what are our challenges ▪ Background of the Tech and Problem Space: Data Growth VS Security ▪ Powering our SOC: Elastic @KPN ▪ SOC @KPN tomorrow: what does the future look like
!4 KPN Security Services Who are we? ▪ Managed Security Services Provider in the Netherlands ▪ 400 colleagues to deliver our services ▪ SOC/SIEM services 24/7/365 ▪ We service Major Accounts in the Netherlands (NS, UWV)
!5 Big Data & Security What are our threats? ▪ We face exponential growth of data and at the same time we have to keep our organization and the ones of our customers’ secure. ▪ Technological limits of security and data tools. ▪ Visibility gaps ▪ Misinterpretation of threats & mismanagement of collected machine data ▪ Security data overload ▪ Delays in threat detection and undetected threats.
!6 KPN Security Services Our goals ▪ Simplify and Bring Under Control Data Chaos, Complexity, and Costs ▪ Gain More Complete and Accurate Security Analysis and Visibility ▪ Flexibility to manage Data Sources, Streams, and Destinations ▪ Utilize our Security Resources Efficiently
▪ Single tenant ▪ Manual configuration ▪ Normalized data only ▪ Basic API Old implementation design
▪ Supports non-cef ▪ ArcSight Logstash Plugin ▪ Indexing too much? ▪ Elastic vs Old API ▪ X-Pack with TLS ▪ Kibana Pipeline Management ▪ 15 Nodes, 3 Masters, 64GB Ram, 6 Cores, 30GB Heap Space Current implementation design
▪ Multi-Tenant ▪ Event Broker ▪ Data Enrichment ▪ Anomaly Detection ▪ Custom Alerts ▪ Automated Normalization Layer ▪ Fully Scalable Plans for the future
!10 Summary KPN’s Security System Tomorrow ▪ How does the future of our SOC look like? ▪ Through this Open Architecture we can easily enrich and expand our Data Platform with other log data of various point solutions ▪ We can make use of AI for threat intel and forensic investigations

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Elastic at KPN

  • 1. !1 Han Pieterse, Senior Solution Consultant, KPN Marius Iversen, Senior Platform Engineer, KPN Elastic @ KPN: Modern Threat Intelligence and Security Analytics
  • 3. !3 Agenda ▪ Who are we and what are our challenges ▪ Background of the Tech and Problem Space: Data Growth VS Security ▪ Powering our SOC: Elastic @KPN ▪ SOC @KPN tomorrow: what does the future look like
  • 4. !4 KPN Security Services Who are we? ▪ Managed Security Services Provider in the Netherlands ▪ 400 colleagues to deliver our services ▪ SOC/SIEM services 24/7/365 ▪ We service Major Accounts in the Netherlands (NS, UWV)
  • 5. !5 Big Data & Security What are our threats? ▪ We face exponential growth of data and at the same time we have to keep our organization and the ones of our customers’ secure. ▪ Technological limits of security and data tools. ▪ Visibility gaps ▪ Misinterpretation of threats & mismanagement of collected machine data ▪ Security data overload ▪ Delays in threat detection and undetected threats.
  • 6. !6 KPN Security Services Our goals ▪ Simplify and Bring Under Control Data Chaos, Complexity, and Costs ▪ Gain More Complete and Accurate Security Analysis and Visibility ▪ Flexibility to manage Data Sources, Streams, and Destinations ▪ Utilize our Security Resources Efficiently
  • 7. ▪ Single tenant ▪ Manual configuration ▪ Normalized data only ▪ Basic API Old implementation design
  • 8. ▪ Supports non-cef ▪ ArcSight Logstash Plugin ▪ Indexing too much? ▪ Elastic vs Old API ▪ X-Pack with TLS ▪ Kibana Pipeline Management ▪ 15 Nodes, 3 Masters, 64GB Ram, 6 Cores, 30GB Heap Space Current implementation design
  • 9. ▪ Multi-Tenant ▪ Event Broker ▪ Data Enrichment ▪ Anomaly Detection ▪ Custom Alerts ▪ Automated Normalization Layer ▪ Fully Scalable Plans for the future
  • 10. !10 Summary KPN’s Security System Tomorrow ▪ How does the future of our SOC look like? ▪ Through this Open Architecture we can easily enrich and expand our Data Platform with other log data of various point solutions ▪ We can make use of AI for threat intel and forensic investigations