DarkShield Certification

 

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When you have attained a level of expertise in the use of IRI DarkShield -- through either on-the-job experience or training material -- you ,may qualify for an official certification letter suitable for consulting engagements, job applications, and IT training centers. Following are various levels of certification you can obtain from IRI, and the USD cost of each certificate (which does not include training or validation).

DarkShield I

DarkShield II

DarkShield I

Prerequisites

  • None

Requirements

Install and license the DarkShield API engines (base, file, RDB and NoSQL) for use in the IRI Workbench GUI for Voracity on Windows or on Linux. Configure the use of the Data Class and Rules Library for use with the DarkShield new search/mask job wizards. Configure DarkShield job wizards (and save data connection profiles for re-use within) for searching and masking PII in text, document, and image files, or a supported NoSQL database, on-premise or in the cloud.

Differentiate and demonstrate the use of location (metadata) vs. data (content) matchers in search operations, and between deterministic and non-deterministic rules in masking jobs. Show and explain the contents of the various log artifacts (including the annotations.json or results.json files) produced from search and masking jobs. Configure and display aggregate data views in the HTML5 dashboard charts. Optionally export a JSON log and open it in an external log analytic or SIEM tool like Splunk ES.

Cost

$75 USD

DarkShield II

Prerequisites

  • DarkShield I

Requirements

Learn and demonstrate at least 3 of the following tasks:

  1. Demonstrate proficiency with manual modifications to a .dsc job in IRI Workbench and run the job on the command line.
  2. Establish the JDBC connection to an RDB source and enumerate its schema in IRI Workbench.
  3. Configure and run a DarkShield search/mask job on PII in that schema.
  4. Configure and run a DarkShield masking job on a DICOM study from the GUI or API, or an HL7 or X12 EDI document from the healthcare wizard, and use data in a set file to replace names.
  5. Define, locate, and leverage NLP models for use in Named Entity Recognition (NER) and demonstrate semi-supervised machine learning in training an NER model and how it improves search results.
  6. Explain and demonstrate the use of a DarkShield RPC API call from an external application you develop.
  7. Install, configure, and run a job using the DeepLobe trial feature for DarkShield to detect and redact signatures in a document (pending).
  8. Create a new AI detection model for a biometric identifier and work with IRI to integrate it into DarkShield.


Cost

$100 USD

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