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What is LLM Capsule?

LLM Capsule enables organizations to harness the power of AI and large language models—like ChatGPT, Claude, and Gemini—while ensuring that sensitive corporate data remains protected from unauthorized access. Unlike traditional methods of data masking or redaction that often strip away essential context and limit the effectiveness of AI, LLM Capsule enhances and encapsulates data to preserve its inherent structure, relationships, and business relevance for accurate AI analysis. This innovative solution not only secures personally identifiable information (PII) but also shields crucial business contexts—such as contracts, project identifiers, clinical terminologies, and source code—through adaptable policies that cater to specific needs. The Capsule technology ensures that only secure, contextually rich information is shared with both internal and external AI systems, while the original data is seamlessly restored upon access. Organizations can confidently comply with stringent regulations, including N2SF and ISO/IEC 27001, all while benefiting from complete audit capabilities and adaptable deployment choices, whether in a cloud environment or on-site. By leveraging LLM Capsule, teams are not just protected; they are equipped to foster innovation through AI, maintaining the essential context that informs effective decision-making processes, ultimately leading to enhanced organizational growth.

What is Informatica Dynamic Data Masking?

The IT department can adopt sophisticated data masking strategies to limit access to confidential information, employing flexible masking rules that align with user authentication levels. By integrating systems for blocking access, conducting audits, and sending notifications to users, IT personnel, and external partners handling sensitive data, the organization can ensure compliance with its security protocols and relevant legal and industry privacy regulations. Furthermore, data-masking techniques can be customized to accommodate diverse regulatory or business requirements, thereby creating a secure environment for both personal and sensitive information. This strategy not only protects data but also supports initiatives in offshoring, outsourcing, and cloud computing. Moreover, large datasets can be safeguarded by implementing dynamic masking for sensitive information within Hadoop environments, which significantly improves overall data protection. Such proactive measures reinforce the robustness of the organization's data security framework, ultimately building trust among stakeholders. This comprehensive approach ensures that sensitive information remains shielded from unauthorized access while empowering the business to innovate and expand.

Media

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Media

Integrations Supported

Hadoop

Integrations Supported

Hadoop

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CUBIG LTD

Date Founded

2021

Company Location

United Kingdom

Company Website

cubig.ai

Company Facts

Organization Name

Informatica

Company Location

United States

Company Website

www.informatica.com/products/data-security/data-masking/dynamic-data-masking.html

Categories and Features

Categories and Features

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