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What is Securiti?

Securiti has established itself as the leader in the Data Command Center, a comprehensive platform designed to facilitate the secure utilization of data and Generative AI. This innovative solution offers cohesive data intelligence, management, and orchestration across diverse hybrid multicloud settings. Major international corporations depend on Securiti's Data Command Center to ensure data security, privacy, governance, and adherence to compliance standards. The company has garnered accolades such as being named a Gartner "Cool Vendor in Data Security," recognized as a Forrester "Privacy Management Wave Leader," and awarded by RSA as the "Most Innovative Startup." With these accomplishments, Securiti continues to set the standard in the data management landscape.

What is IBM DataStage?

Accelerate the development of AI innovations with the cloud-native data integration solutions provided by IBM Cloud Pak for Data. With AI-enhanced data integration functionalities available from any location, the impact of your AI and analytics initiatives is closely tied to the caliber of the underlying data. Leveraging a contemporary container-based framework, IBM® DataStage® within IBM Cloud Pak® for Data guarantees the provision of high-quality data. This offering combines exceptional data integration with DataOps, governance, and analytics into a cohesive data and AI ecosystem. By streamlining administrative processes, it contributes to a reduction in total cost of ownership (TCO). The platform's AI-driven design accelerators, in conjunction with readily available integrations for DataOps and data science services, significantly expedite the pace of AI development. Moreover, its capabilities for parallel processing and multicloud integration facilitate the delivery of consistent data across extensive hybrid or multicloud environments. Additionally, the IBM Cloud Pak for Data platform allows for the effective management of the complete data and analytics lifecycle, incorporating a range of services such as data science, event messaging, data virtualization, and data warehousing, all supported by a parallel engine and automated load balancing. This all-encompassing strategy equips your organization to remain at the forefront of the swiftly changing data and AI landscape, ensuring that you can adapt and thrive in a competitive market.

Media

Media

Integrations Supported

AWS Marketplace
Amazon

Integrations Supported

ActiveBatch Workload Automation
Control-M
FairCom DB
FairCom EDGE
IBM Cloud Pak for Applications
IBM Watson Studio
IRI FieldShield
MettleCI
Origina
Pantomath
Stonebranch

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Veeam

Date Founded

2018

Company Location

United States

Company Website

securiti.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/infosphere-datastage

Categories and Features

Cloud Compliance

Not specified

Consent Management Platforms

Automatic Cookie-Blocking
CCPA Compliance
CMS Integration
GDPR Compliance
IAB Compliance

Cookie Scanners

Not specified

Cybersecurity

Not specified

Data Governance

Not specified

Data Intelligence

Not specified

Data Lineage

Not specified

Data Mapping

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

GDPR Compliance

Not specified

IT Security

Not specified

Categories and Features

Big Data

Not specified

Data Integration

Not specified

Data Lineage

Not specified

Data Mapping

Not specified

Data Virtualization

Not specified

ETL

Not specified

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