Does Redactive replace an LDAP or DSPM?

No, Redactive complements them. It leverages the existing rules from your SSO, LDAP, and DSPM but adds a fine-grained layer of semantic security at the document and chunk level.

Where does Redactive fit into an AI implementation?

It acts as a security middleware or 'pre-retrieval guardrail' between your data sources (like SharePoint or Confluence) and your AI tooling (like ChatGPT or Amazon Bedrock).

How does Redactive handle misconfigured permissions?

It uses AI-native analysis to identify inappropriate access that traditional rule-based solutions miss and can automatically remediate these risks in real-time.

Which programming languages are supported for the API?

Redactive currently provides official SDKs for Python and JavaScript/TypeScript (Node.js), along with gRPC endpoints.

Is there a free version of Redactive AI?

While some directories list basic tools as free, the enterprise-grade Data Access and Permissions Assurance platform is a paid service, often billed through AWS Marketplace.

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Database Q&A

Paid

Redactive AI

Secure enterprise AI data access platform. It enforces document-level permissions and semantic security to ensure AI applications only retrieve data users are authorized to access.

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Rating

Reviews

Upvotes

4 months ago

Listed

AI Security

Data Governance

Enterprise AI

Permissions Management

RAG Security

Data Privacy

Database Q&A

Semantic Analysis

Tool information

Provider

Redactive AI

Platforms

Web

AWS Marketplace

Languages

English

API Available

Yes

Added to directory

4 months ago

Last updated

3 months ago

Rating

Not available

Pricing

Paid

About Redactive AI

What the tool does and who it's for

Redactive AI is an enterprise-grade AI data security platform that enables organizations to securely adopt Generative AI by enforcing granular, document-level permissions. It sits between internal knowledge bases and AI applications (like Amazon Bedrock or custom LLMs) to act as a pre-retrieval guardrail. By using AI-native semantic analysis, it identifies and remediates misconfigured access permissions at the sentence, image, and chunk level, ensuring that AI agents and employees only access information they are authorized to see.

Key capabilities

Permissions Assurance: Automatically detects and resolves misconfigured data permissions before AI deployment.

Real-time Remediation: Continuously monitors enterprise environments to prevent unauthorized data exposure.

Semantic Data Security: Uses AI to understand the context and meaning of unstructured data for granular access control.

Pre-retrieval Guardrails: Filters data before it reaches the LLM, ensuring responses comply with user permissions.

Document-Level Access: Maps and controls permissions at the document and chunk level rather than just the application level.

Enterprise Integration: Connects with existing SSO, LDAP, and DSPM tools to leverage current security classifications.

Developer SDKs: Provides Python and JavaScript/TypeScript SDKs for building secure AI applications.

AWS Native Support: Validated AWS Partner with seamless integration for Amazon Bedrock and AWS infrastructure.

Pricing

Paid — plans below

50 Seat Plan

$3,000.00/month

Up to 50 distinct users
SaaS delivery via AWS
Permissioned data access
Standard support

Enterprise

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