Velum Privacy Description

Velum Privacy is designed to protect personal data before it interacts with an AI assistant, subsequently restoring the actual values in the response, all while operating solely on your machine without the need for servers, accounts, or any telemetry. The system is inherently reversible; it employs one-way redaction to secure the data, although this would typically compromise the response, yet a local mapping ensures that the returned reply remains intelligible. This solution comprises three distinct interfaces integrated into a single engine: a browser extension compatible with Chrome, Brave, Edge, and Vivaldi that offers text masking without requiring an account; a macOS desktop application that manages documents, folders, and coding tasks through MCP, with a Windows version currently under development; and an application for Jira and Confluence Cloud that operates within your own Atlassian environment. Detection is achieved through a combination of pattern recognition, checksum validation specifically for IBANs and national IDs, and a local named entity recognition model that supports nine language variations, with published accuracy metrics highlighting a remarkable 99.8% must-mask F1 score at the highest level, including failure rates. The commitment to transparency is evident, as the extension specifies zero host permissions, while the desktop application meticulously lists every outbound connection and ensures masking occurs even when the network is offline, reinforcing the integrity of the system. Such comprehensive measures ensure that users can maintain control over their sensitive information while enjoying the benefits of AI technology.

Velum Privacy Alternatives
StackAI Reviews
StackAI
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StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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DATPROF
Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.
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IRI FieldShield Reviews
IRI FieldShield
IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.
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Pricing

Pricing Starts At:
$149/year
Free Version:
Yes
Free Trial:
Yes

Integrations

View Integrations

Reviews - 2 Verified Reviews

Total
ease
features
design
support
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Company Details

Company:
Velum Privacy
Year Founded:
2025
Headquarters:
Spain
Website:
velumprivacy.com
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Media

Play Video Text masking File masking Protection stats Settings onboarding
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Product Details

Platforms
Windows
Mac
Linux
Chromebook
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Velum Privacy Features and Options

Velum Privacy User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Practical privacy controls for AI use

    Date: Aug 19 2026

    Summary: Velum Privacy is a useful option for teams looking to introduce stronger privacy safeguards into their AI workflows. It combines a relatively simple user experience with a clear focus on protecting sensitive data.

    Positive: Velum Privacy offers a straightforward way to identify sensitive information and protect it when working with AI services. I like that privacy is built into the workflow rather than feeling like an additional complicated step. The product is easy to understand, and it gives teams more confidence when handling information they don't want exposed to AI tools.

    Negative: I’d like to see broader integrations and more configuration options as the product develops, particularly for larger organizations with more complex requirements.

    Read More...
  • Name: Anonymous (Verified)
    Job Title: Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 20,000 or More
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Simple and effective privacy protection for AI workflows

    Date: Aug 10 2026

    Summary: A promising privacy-focused product for organizations adopting AI. Velum provides a good balance between usability and data protection, and it can be particularly useful for teams that need to work with sensitive information while using AI services

    Positive: Velum Privacy makes it easy to protect sensitive information before using AI tools. I particularly like the focus on privacy and the fact that it can help identify and handle sensitive data without making the workflow overly complicated. The interface is straightforward, and it feels like a practical solution for teams that want to use AI while keeping better control over their data.

    Negative: There is still some room for improvement in terms of integrations and customization options, especially for more advanced enterprise use cases

    Read More...
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