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Credal ✓

Securely harness AI without compromising your data.

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From Free tier available · Monthly

Verdict

A quick read before you dig into the full page.

Best if
Securely harness AI without compromising your data
Skip if
High learning curve for non-tech users
Pick this when
API offerings

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Overview

Credal.ai is an AI tool designed to protect sensitive data while leveraging AI applications within an enterprise. It provides a secure solution for utilizing popular AI apps such as ChatGPT, ensuring that business secrets and protected data like PII remain secure.

The tool offers APIs, a secure chat UI, and a Slack bot that integrates seamlessly with your data sources such as Google Drive, Confluence, and Slack.

It automatically enforces access policies, masks sensitive data, and ensures acceptable use policies are followed. Credal allows enterprises to define, enforce, and audit access to AI tools, whether internally built or externally procured, all from a single place.

It enables developers to build custom applications on secure APIs while respecting source permissions, generating automatic audit logs, and masking sensitive data.

For increased security, Credal can be deployed fully on-premise, including the large language models themselves, ensuring data never leaves the network and leveraging existing investments in platforms like Azure OpenAI and AWS Bedrock.

The tool provides granular audit logs that track data shared with AI providers, offering transparency into who is sharing what data and the applicable terms and agreements.

It also offers automatic redaction of sensitive keywords and phrases before data leaves the organization and syncs permissions with source systems like Google documents and Confluence pages.

Credal is popular among developers as it offers drop-in replacements for OpenAI and Anthropic APIs and allows them to build apps on top of enterprise data while maintaining data security.

Trusted by leading companies, Credal ensures the secure adoption of AI within an enterprise, providing the necessary security controls and features to protect sensitive data while leveraging the benefits of AI applications.

Credal website

Access & connections

Where you can use Credal, and what it plugs into.

Platforms

Web

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular

Output

  • API
  • Text

Pros & cons

Pros

  • API offerings
  • Includes secure chat UI
  • Comes with Slack bot integration
  • Pre-integrated with various data sources
  • Automatic enforcement of access policies
  • Sensitive data masker
  • Supports custom application building
  • Automatic audit log creation
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  • Data security with on-premise deployment
  • Large language model support
  • Detailed audit logs for data transparency
  • Redaction of sensitive keywords or phrases
  • Syncs permissions with source systems
  • Protects enterprise data security while building apps
  • Data never leaves your network
  • Supported by leading companies
  • Granular audit logs
  • Automatic redaction
  • Permissions syncing
  • Integration with Google Drive, Confluence, Slack
  • Enterprise data sources integration
  • Ease-of-use with secure chat UI
  • Secure APIs for custom apps
  • Option for full on-premise deployment
  • Protection against data training on your models
  • Removal of all data from LLM servers
  • Prevent sending data to the LLM
  • Trust from proven industry leaders
  • Transparency into data sharing
  • Relevant context provision
  • Inclusion of source system permissions
  • Python libraries support

Cons

  • No option for cloud deployment
  • Lacks multi-language support
  • Dependent on Azure, AWS
  • No self-service troubleshooting features
  • Limited data source integrations
  • Specific to enterprise usage
  • No individual user tier
  • High reliance on APIs
Show 1 more
  • High learning curve for non-tech users

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Releases 1

Initial release March 13, 2023 Current
Initial release of Credal.

FAQ 12

What is Credal.ai?
Credal.ai is a tool designed to secure sensitive data while integrating AI applications within an enterprise. From enforcing access policies to masking sensitive information, Credal provides companies with secure APIs, a secure chat UI, and a Slack bot, all aimed towards safeguarding business secrets and protected data like PII.
How does Credal ensure data security?
Credal safeguards data security by automatically enforcing access policies and enabling acceptable usage rules. It provides auto-redaction of sensitive phrases and keywords before data exits the organization, and maintains constant sync with permissions from source systems like Google documents and Confluence pages. Additionally, granular audit logs provide a clear record of data shared with AI providers.
What types of AI applications can be securely utilized using Credal?
Credal allows secure utilization of popular AI applications like ChatGPT and offers a drop-in substitute for OpenAI and Anthropic APIs. Internally developed or externally procured AI tools can also be safely integrated with Credal.
What are the key features offered by Credal to protect sensitive data?
Credal's key features for protecting sensitive data include automated enforcement of access policies, masking of sensitive data, and granular audit logs for data shared with AI providers. It also allows redaction of sensitive keywords and phrases, negotiates and maintains MSAs with AI providers, and ensures permissions synchronization with source systems.
Can Credal be fully deployed on-premise?
Yes, Credal can be fully deployed on-premise. This functionality ensures that data never leaves the network and can leverage existing investments in Azure OpenAI, AWS Bedrock, and even Open Source Models.
What are some popular AI applications that can be securely used with Credal?
Credal can be used with popular AI applications like GPT-4 32k, Claude and others. It also offers drop-in substitutes for OpenAI and Anthropic APIs.
How does Credal support developers in maintaining data security?
Credal supports developers by providing secure APIs to build custom applications while respecting source permissions and masking sensitive data. It offers drop-in replacements for OpenAI and Anthropic APIs, making it possible to build applications on top of enterprise data securely.
What integrations does Credal offer with external data sources?
Credal integrates with enterprise data sources like Google Drive, Confluence and Slack. This allows seamless use of AI while respecting source system permissions and masking sensitive data.
How does Credal automate enforcement of access policies?
Credal automates enforcement of access policies by integrating with source systems, and respecting their permissions. Its secure functionality allows enterprises to manage policies on internally developed and externally procured AI tools all in one place.
What types of data can Credal mask?
Credal is capable of masking all sorts of sensitive data, including but not limited to business secrets, personal identifiable information (PII), sensitive keywords, and phrases.
What audit logging capabilities does Credal provide?
Credal provides comprehensive audit logs on all data shared with AI providers. This feature offers full transparency into who shares what data, the receiver of the shared data, and the terms and agreements governing that data.
Is it possible to use Credal with internally built AI tools?
Yes, Credal enables companies to define, enforce, and audit access to internally built AI tools. Simplifying management of these tools in a single place, Credal enhances security while allowing for customisation.
Credal From Free tier available · Monthly