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Redactive

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About

Redactive is an enterprise-grade AI data security and governance platform, now part of the RecordPoint ecosystem following its acquisition. The tool is designed to address the primary security hurdles that prevent large organizations from fully adopting generative AI: data leaks and unauthorized access. By providing a layer of protection between internal data and AI applications, Redactive ensures that sensitive information is only accessible to authorized users and systems. Its primary purpose is to unblock AI rollouts by giving security teams the confidence that their data remains governed and protected even as it is fed into large language models or used by employees in everyday workflows. The platform functions through two distinct yet complementary modules: Permissions Assurance and Prompt Security. Permissions Assurance uses artificial intelligence to create a semantic index of a company’s unstructured data across various knowledge bases. Unlike traditional rule-based security systems that often miss contextual nuances, Redactive identifies documents that are overly accessible based on their actual content. When misconfigurations are found, the system can automatically remediate the issue or route it to the appropriate data owner for manual review. Prompt Security, on the other hand, utilizes a dedicated browser plugin to monitor shadow AI usage. This allows organizations to apply Data Loss Prevention (DLP) rules in real-time, preventing sensitive corporate data from being pasted into unauthorized public AI tools while providing visibility into which use cases are driving AI adoption among staff. Redactive is specifically tailored for IT leaders and security professionals within large enterprises, particularly those in highly regulated sectors such as financial services and legal. It solves the complex data engineering challenges associated with maintaining real-time permission syncs across disparate third-party platforms. By surfacing only relevant, authorized documents to AI chatbots, it maintains the integrity of internal knowledge systems and prevents the accidental exposure of confidential information. What distinguishes Redactive is its focus on the semantic meaning of data rather than just its location or folder structure. It works alongside existing security stacks to elevate the overall posture of an organization’s data governance while offering flexible deployment options like Virtual Private Cloud hosting.

Pros & Cons

Identifies contextual security risks in unstructured data that rules-based solutions miss.

Prevents sensitive data from being shared with unauthorized shadow AI applications.

Supports rapid enterprise deployment via AWS and GCP Cloud Marketplaces.

Provides automated remediation for misconfigured permissions across varied knowledge bases.

Maintains high-level security standards through ISO27001 compliance and VPC hosting options.

Requires the installation of a browser plug-in for active prompt security features.

Pricing details are not transparently listed and require a custom demo or quote.

The platform is primarily optimized for large enterprise environments and complex data stacks.

Use Cases

IT Security Teams can block sensitive data from being shared with unauthorized apps like personal ChatGPT accounts via a browser plugin.

Financial Services Organizations can implement secure generative AI by ensuring chatbots only surface documents users are authorized to see.

CTOs can accelerate AI tool deployment by automatically identifying and fixing misconfigured permissions across legacy data silos.

Compliance Officers can maintain auditability and transparency of AI data usage while adhering to ISO27001 security standards.

Data Owners can utilize intelligent routing to review and resolve document-level access edge cases identified by the AI security engine.

Platform
Web
Task
security ensuring

Features

iso27001 security compliance

aws and gcp marketplace listing

virtual private cloud (vpc) hosting

real-time dlp rule application

browser-based prompt security

shadow ai usage monitoring

automated permission remediation

semantic data indexing

FAQs

How does Redactive handle misconfigured data permissions?

Redactive's Permissions Assurance module continuously identifies misconfigured permissions across unstructured data sources. It uses AI to understand the context of the data and can automatically correct access levels or route edge cases to data owners for review.

Can Redactive prevent employees from leaking data to public AI tools?

Yes, the platform includes a browser plug-in that monitors prompts sent to unauthorized applications like personal ChatGPT accounts. It applies Data Loss Prevention rules to intercept and block sensitive company data in real-time.

Where can the Redactive platform be hosted?

Redactive offers multiple hosting options to suit different security postures. Organizations can connect via a private link or deploy the solution directly into their own Virtual Private Cloud (VPC).

Is Redactive compliant with international security standards?

Yes, Redactive is ISO27001 compliant, ensuring that its data handling and security protocols meet high industry standards. It is also listed on the AWS and GCP Marketplaces, meeting their specific security requirements.

Does Redactive integrate with existing security tools?

Redactive is designed to complement existing security stacks rather than replace them. It works alongside current tools to provide an additional layer of data governance specifically focused on AI-enabled risks.

Pricing Plans

Enterprise
Unknown Price

Permissions Assurance

Shadow AI Management

Prompt Security

DLP Rules Application

VPC Deployment

ISO27001 Compliance

AWS and GCP Marketplace Listing

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