Bridging the NetOps, DevOps, and SecOps Divide
As networks become more complex, NetOps teams are conscious of deploying more flexible, programmable, and scalable network infrastructure. Most legacy monitoring tools were designed for NetOps teams to monitor and plan the network or for DevOps teams to monitor the latency of their apps. SecOps haven’t had the tools to investigate network traffic or be notified of unusual traffic.
This results in siloed teams, tools, and processes, and it fosters inefficiencies. But there is another way.
The ElastiFlow Approach to Unified Network Observability
ElastiFlow collects unsampled flow data and standardizes data from network devices, including industry-leading vendor-specific field support, to actually achieve complete network visibility. ElastiFlow adds context to this data including geo location, AS, app and service information. Benefits of ElastiFlow include:
ElastiFlow Solutions:
NetIntel enhances your network detection and response posture by enriching your network flow data with indicators of compromise, IP reputation, application context, and MITRE ATT&CK information. The NetIntel threat feed is sourced from thousands of our global collectors, validated by all the network traffic we collect, so threats that matter are brought to your immediate attention.
NetIntel brings intelligence about your network traffic into your list of threat alerts. Other threat feeds provide Indicators of Compromise based on external bad actors, but many attacks originate from the inside (Phishing, disgruntled employees, etc.).
NetIntel leverages your network data and business context to arm you with the information you need to prioritize threats. Network data is the most important tool we have to identify relevant IoCs. ElastiFlow enriches your network data, combines this data with intelligence generated by our global threat sensors, to generate alerts based on your network data, revealing not only external threats but internal as well.
Benefits of NetIntel:
NetObserv collects SNMP and flow data from routers, switches, firewalls, and hosts, and enriches the data with geo, ASN, threat intelligence, DNS, and user-defined business context. NetObserv collects unsampled flow data and normalizes this data with over 4,700 device profiles.
NetObserv collectors are easily integrated with your chosen
open data platform so that data can be aggregated across platforms, such as app
monitoring or security feeds. By feeding this data lake, AI and ML models have
a rich environment to generate the insights needed by your network, security,
and development teams.
Some of the most popular backend pipelines include
Elasticsearch with Kibana, OpenSearch, and Kafka with an analytics database
like Druid. ElastiFlow also has integrations with Slack and Tines. Each piece
of the pipeline can be scaled out and enhanced with features like ML, ETL
(extract, transform, load), and enrichment. We offer deployment options for
cloud, on-prem, and virtual environments.
NetObserv and NetIntel produce insights into network
activity that will prove invaluable to not only NetOps but also their DevOps
and SecOps colleagues. Tools such as Kafka, Elasticsearch, OpenSearch, Grafana,
and Kibana are commonly used by these teams due to their scalability and
extensibility. Historically, NetOps has turned to purpose-built, proprietary
solutions to meet network observability needs.
Unfortunately, these solutions usually lock up your critical network data in silos making it unavailable to benefit from the growing power and insights that can come from exposing this data to observability solutions. This is especially the case as ML and AI tools become increasingly useful. Sure, many network observability solutions are advancing in ML and AI, but this data is often siloed. Your network data can add a new richness to application and security data.
ElastiFlow Use Cases: