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What is Protecto?

The rapid growth of enterprise data, often dispersed across various systems, has made the management of privacy, data security, and governance increasingly challenging. Organizations face considerable threats, such as data breaches, lawsuits related to privacy violations, and hefty fines. Identifying data privacy vulnerabilities within a company can take several months and typically requires the collaboration of a dedicated team of data engineers. The urgency created by data breaches and stringent privacy regulations compels businesses to gain a deeper insight into data access and usage. The complexity of enterprise data exacerbates these challenges, and even with extensive efforts to pinpoint privacy risks, teams may struggle to find effective solutions to mitigate them in a timely manner. As the landscape of data governance evolves, the need for innovative approaches becomes paramount.

What is IBM InfoSphere Optim?

Proper management of data throughout its entire lifecycle is crucial for organizations to meet their business goals while reducing potential risks. Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes. By distributing data across different applications, databases, operating systems, and hardware, organizations can improve the security of their testing environments, accelerate release cycles, and decrease expenses. Failing to implement effective data archiving can lead to significant degradation in the performance of essential enterprise systems. Tackling data growth directly at its origin not only enhances efficiency but also minimizes the risks associated with long-term management of structured data. Moreover, it is important to protect unstructured data within testing, development, and analytics settings throughout the organization to preserve operational integrity. The lack of a solid data archiving strategy can severely impact the functionality of critical business systems and hinder overall success. Consequently, taking proactive measures to manage data effectively is fundamental for cultivating a more agile, resilient, and competitive enterprise in today's fast-paced business landscape.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Databricks
Google Cloud BigQuery
Microsoft Azure
Salesforce
Snowflake

Integrations Supported

IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy

API Availability

Has API

API Availability

Pricing Information

Usage based
charged per API call
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

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

Protecto

Date Founded

2021

Company Location

United States

Company Website

www.protecto.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/optim

Categories and Features

Data Discovery

Contextual Search
Data Classification
False Positives Reduction
Sensitive Data Identification

Data Security

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

Test Data Management

Not specified

Categories and Features

Data Governance

Not specified

Test Data Management

Not specified

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