Copyright ©2018 Enclave Data, LLC

Expressions

Automated Compliance- Custom

The automated compliance expression for Custom allows for a client to develop their own controls matrix from industry standards as well as corporate standards. This automated compliance expression relies on the logging, context, index, and machine learningexpressions to make a more complete and real time view of compliance to the controls.

 

Automated Compliance- GDPR

The automated compliance expression for GDPR breaks the GDPR controls down into actionable automation that can look out for gaps in your compliance in a more dynamic, real time way. This automated compliance expression relies on the logging, context, index, and machine learningexpressions to make a more complete and real time view of compliance to the controls.

 

Automated Compliance- NIST 800 171

The automated compliance expression for NIST 800 171 breaks the NIST 800 171 controls down into actionable automation that can look out for gaps in your compliance in a more dynamic, real time way. This automated compliance expression relies on the logging, context, index, and machine learning expressions to make a more complete and real time view of compliance to the controls.

 

Automated Compliance- PCI

The automated compliance expression for PCI breaks the PCI controls down into actionable automation that can look out for gaps in your compliance in a more dynamic, real time way. This automated compliance expression relies on the logging, context, index, and machine learning expressions to make a more complete and real time view of compliance to the controls.

 

Blockchain

The blockchains expression adds a further level of data loss protection using blockchain technology enabled with private, public, or hybrid validation techniques. This method makes data or logs tamper proof.

 

Context

Data context is a concept where objects can inherit meta data / data binding information from successive parent objects in an object relationship hierarchy. The most important aspect of data context is the data source that is used for data binding. Integrates the data in a way that provides more useful reports, portal views, and compliance audits then what would otherwise normally be siloed and more difficult to pull together.

 

Element Logging

The Element Logging expressions aggregates logs from disparate systems (native OS/Network devices, Splunk, DNS, Firewalls, etc.). The expression offers secure Long-term storage of logs to assist in Machine Learning Efforts and more complete auditing/compliance reporting.

 

Index

Once the data is more integrated with the context expression, the Index expression allows you to quickly spin up new database indexes on new types of meta data that would not normally be available. This helps to make richer reporting and faster searching for use on incident or problem management efforts.

 

Machine Learning

After you have established an archive of logging and context you can then apply machine learning algorithms to the data to find patterns. Patterns that can help you better understand behaviors of both your users and your systems. This machine learning can then be integrated into incident and/or problem management tooling to aid in faster turnaround times and more comprehensive analysis.