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What is Tenzir?

Tenzir serves as a dedicated data pipeline engine designed specifically for security teams, simplifying the collection, transformation, enrichment, and routing of security data throughout its lifecycle. Users can effortlessly gather data from various sources, convert unstructured information into organized structures, and modify it as needed. Tenzir optimizes data volume and minimizes costs, while also ensuring compliance with established schemas such as OCSF, ASIM, and ECS. Moreover, it incorporates features like data anonymization to maintain compliance and enriches data by adding context related to threats, assets, and vulnerabilities. With its real-time detection capabilities, Tenzir efficiently stores data in a Parquet format within object storage systems, allowing users to quickly search for and access critical data as well as revive inactive data for operational use. The design prioritizes flexibility, facilitating deployment as code and smooth integration into existing workflows, with the goal of reducing SIEM costs while granting extensive control over data management. This innovative approach not only boosts the efficiency of security operations but also streamlines workflows for teams navigating the complexities of security data, ultimately contributing to a more secure digital environment. Furthermore, Tenzir's adaptability helps organizations stay ahead of emerging threats in an ever-evolving landscape.

What is IRI FieldShield?

IRI FieldShield® offers an effective and cost-efficient solution for the discovery and de-identification of sensitive data, such as PII, PHI, and PAN, across both structured and semi-structured data sources. With its user-friendly interface built on an Eclipse-based design platform, FieldShield allows users to perform classification, profiling, scanning, and static masking of data at rest. Additionally, the FieldShield SDK or a proxy-based application can be utilized for dynamic data masking, ensuring the security of data in motion. Typically, the process for masking relational databases and various flat file formats, including CSV, Excel, LDIF, and COBOL, involves a centralized classification system that enables global searches and automated masking techniques. This is achieved through methods like encryption, pseudonymization, and redaction, all designed to maintain realism and referential integrity in both production and testing environments. FieldShield can be employed to create sanitized test data, mitigate the impact of data breaches, or ensure compliance with regulations such as GDPR, HIPAA, PCI, PDPA, and PCI-DSS, among others. Users can perform audits through both machine-readable and human-readable search reports, job logs, and re-identification risk assessments. Furthermore, it offers the flexibility to mask data during the mapping process, and its capabilities can also be integrated into various IRI Voracity ETL functions, including federation, migration, replication, subsetting, and analytical operations. For database clones, FieldShield can be executed in conjunction with platforms like Windocks, Actifio, or Commvault, and it can even be triggered from CI/CD pipelines and applications, ensuring versatility in data management practices.

Media

Media

Integrations Supported

Amazon S3
Elasticsearch
Amazon Security Lake
Google Cloud Storage
Snowflake
Splunk Cloud Platform
YARA

Integrations Supported

Amazon S3
Elasticsearch
Adobe Acrobat
Alation
Apache Cassandra
GitLab
HP-UX
IBM AIX
OpenText Dynamic Application Security Testing
Oracle Database
SAP BusinessObjects Business Intelligence
SUSE Linux Enterprise Desktop
Splunk Enterprise
erwin Data Modeler
macOS Sierra

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Varies by component/scope
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tenzir

Date Founded

2017

Company Location

Germany

Company Website

tenzir.com

Company Facts

Organization Name

IRI, The CoSort Company

Date Founded

1978

Company Location

United States

Company Website

www.iri.com/products/fieldshield

Categories and Features

Cloud Security

Not specified

Data Anonymization

Not specified

Data Pipeline

Not specified

Data Security

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

Data Security

At-Risk Analysis
Audits
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance

Test Data Management

Not specified

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