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features
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support

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Description

SecuredAI is a security-focused AI platform that enables organizations and individuals to use generative AI while automatically protecting sensitive information from being exposed to external AI models. Before any prompt reaches the AI service, the platform detects personally identifiable information and other confidential data, replacing it with intelligent placeholders that preserve context while hiding the original values. Unlike traditional redaction tools, SecuredAI restores the protected information locally on the user's device after the AI response is received, allowing users to work with complete and meaningful results. Its Zero-Knowledge Vault encrypts sensitive information locally using a master key that only the user controls, ensuring the original data never reaches or is stored by SecuredAI. The platform currently supports OpenAI and DeepSeek, with additional model support planned for Grok, Claude, and other AI platforms. Detection capabilities include names, email addresses, phone numbers, organization names, account numbers, identifiers, and customizable detection patterns for organization-specific data. SecuredAI is particularly well suited for regulated industries including healthcare, financial services, legal services, and enterprise environments where privacy and compliance are critical. By combining automated detection, context-preserving obfuscation, local encryption, and secure restoration, SecuredAI allows organizations to accelerate AI adoption without sacrificing data security or productivity. Teams can continue using AI assistants while maintaining greater control over sensitive information and reducing the risk of accidental data exposure.

Description

Enhancing patient care can be achieved through the secure and confidential sharing of data among healthcare professionals, ensuring the protection of privacy. Additionally, it is important to facilitate secure financial data analysis to effectively manage risks and detect fraud, while keeping client information encrypted and safeguarded. In the evolving landscape of digital marketing, creating targeted advertising and campaign insights without compromising user privacy can be accomplished through encrypted data analysis, especially in a post-cookie world. Furthermore, fostering data collaboration between various agencies is crucial, allowing them to work together efficiently without disclosing sensitive information to each other, thus bolstering both efficiency and data security. Moreover, developing applications for user authentication that maintain individuals' anonymity is essential in preserving privacy. Lastly, empowering governments to digitize their services independently of cloud providers can enhance operational trust and security. This approach ensures that the integrity of sensitive information is upheld across all sectors involved.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

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Screenshots View All

Integrations

Python No 

Integrations

Python Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

SecuredAI

Country

United States

Website

securedai.com

Vendor Details

Company Name

Zama

Founded

2020

Country

France

Website

www.zama.ai

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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