One of the key concerns cited during initial discussions with organisations, regarding their big data strategy, is the secure storage and retrieval of IT and business data. We ensure that significant time and effort is allocated to addressing these reservations, and clarifying any false assumptions that organisations may have regarding Big Data Analytics deployments.
Some typical concerns expressed are:
We don’t want data to leave the organisation or be accessible outside the internal network
Splunk Enterprise is an on-site or cloud based dedicated set up. All the data can be stored within the secure network of the organisation and cannot be accessed from a public network.
Data from your hybrid infrastructure can be indexed in Splunk, either on premise or on your private cloud. There is no compulsion to avail of Splunk Cloud for your cloud deployment.
We can architect this with multi-site clustering, so that each data center retains its data physically, and only provides centralized access to the view of this data. In other words, a correlation / search can be run across data that lies across different physical locations]
While Splunk comes with it’s own self signed SSL Certificate, this can be replaced by your organization’s 3rd party SSL certificate.
Splunk enables you to leverage industry best practices such as enforcing unique user names, password length requirements, forced password resets, Role Based Access Control and/or Lightweight Directory Access Protocol (LDAP)/Active Directory (AD) support]
Splunk Cloud uses AWS across 7 global sites, providing a highly secure environment and 100% uptime SLA. All AWS data centers have attached SOC 2 Type 2, PCI Data Security Standard (PCI-DSS) Level 1, ISO 27001, Cloud Security Alliance, DIACAP, and FISMA certifications / attestations]
Eventually, after taking into consideration such concerns, we ensure that our deployment strategy includes a compliance plan to meet the security checklist defined by the organisation. This is imperative to the success of an Enterprise Big Data Analytics implementation.