Cadea

Cadea is an enterprise-grade specialized platform designed to secure large language models (LLMs) and AI applications. Unlike universal solutions, Cadea focuses specifically on protecting against threats characteristic of modern generative systems: prompt injections, unauthorized access, and confidential data leaks.

The service's key feature is deep integration into existing corporate infrastructure. The platform integrates with identity and access management (IAM) systems, allowing standard corporate security policies to be applied to AI tools. Cadea supports both cloud deployments and on-premise installation, making it a flexible solution for organizations with different data storage requirements.

The platform also includes a secure team chat based on ChatGPT, which allows employees to use generative AI capabilities without the risk of internal information leaking outside the corporate perimeter.

Cadea Characteristics

Characteristic	Value
Type	Platform for AI and LLM security
Categories	API and integrations, Logs and monitoring, Project management
Publication date	August 14, 2025
Website	www.cadea.ai
Distribution model	Not specified
Deployment format	Cloud, on-premise
Integrations	Third-party services, corporate IAM (identity management systems)
Access	By invitation

Who is Cadea suitable for?

Banks and fintech organizations

The financial sector works with extremely sensitive data and strict regulatory requirements. Cadea allows AI tools to be implemented without violating security standards or risking the confidentiality of client information.

Corporations with high security requirements

Large enterprises working with trade secrets, intellectual property, or personal data gain a tool for strict access control to AI systems and prevention of leaks through prompt injections.

Teams working with private information

Departments that process sensitive data daily (lawyers, HR, researchers, medical institutions) can safely use the capabilities of large language models without the threat of information disclosure.

How to use Cadea?

Implementation in a corporate environment

To get started, the platform must be integrated with the existing security infrastructure. Cadea connects to corporate identity management services, allowing roles and access rights for employees to be configured based on policies already adopted in the company.

Configuring secure scenarios

The platform requires preliminary configuration for complex usage scenarios. Administrators need to determine which AI tools will be used, which data is considered critical, and configure filtering policies for prompts and responses.

Cloud or on-premise deployment

Depending on company requirements, Cadea can be deployed in cloud infrastructure or installed on-premise. This provides flexibility for organizations that cannot transfer data to third parties for legal or other reasons.

Key Cadea Features

Protection against AI attacks

The platform prevents prompt injections — attempts by attackers to embed malicious commands into requests to the language model. The system analyzes incoming data and blocks attempts to manipulate model behavior.

Access control and role management

Cadea allows granular access rights to be configured for different user categories. Administrators can restrict the functionality of AI tools depending on the employee's position and security clearance level.

Integration with corporate services

The platform connects to identity management systems (IAM), allowing unified accounts and authentication standards already in effect in the company to be used.

Secure team collaboration

The built-in secure chat based on ChatGPT gives teams the ability to work collaboratively with AI in an isolated environment where all requests and responses remain under the control of the security system.

Cadea Advantages

Deep specialization in AI security

Unlike universal platforms, Cadea was created specifically to protect language models, allowing it to effectively counter specific threats: injections, jailbreaks, and other attack vectors.

Integration with corporate infrastructure

The ability to connect to existing IAM systems and other corporate services allows security to be implemented without restructuring the entire IT architecture.

Support for cloud and on-premise infrastructures

Cadea supports various deployment models, which is critical for companies with different data storage and processing requirements.

Scalability support

The platform is designed for use by organizations of any size — from small teams to large corporations with thousands of employees.

Cadea Disadvantages

Implementation complexity

Configuring the platform for complex usage scenarios requires significant time investment and specialized knowledge. The integration process with existing infrastructure is not a trivial task.

Limited availability

Currently, Cadea is distributed by invitation only, which significantly limits its mass adoption. Companies cannot simply register and start working — access must be obtained.

What problems does Cadea solve?

Protection against malicious prompt injection

The platform blocks attempts to manipulate the language model through specially crafted requests that could force the AI to perform unauthorized actions.

Data leak prevention

The system monitors both incoming requests and outgoing model responses, preventing confidential information from being transmitted outside the corporate environment.

Preventing unauthorized access

Integration with corporate identity and role management systems ensures that only authorized employees have access to AI tools, and only within their permissions.

Providing a secure team chat

The built-in ChatGPT-based chat allows teams to benefit from generative AI while maintaining full control over data and interaction processes.

Cadea Pricing

Information about the cost of using the platform is not disclosed in available sources. The pricing model, tariff plans, and payment terms are not published on the official website. To obtain pricing information, it is likely necessary to contact company representatives after receiving an invitation to the platform.

Cadea Terms of Use

The platform operates in invite-only mode, which means limited access for new users. To get started, an invitation from the Cadea team is required.

In addition, effective use of the platform in non-standard or complex scenarios requires preliminary configuration. This is due to the need for integration with corporate infrastructure, configuration of security policies, and setup of access roles. Organizations planning to implement Cadea should allocate time and resources for the implementation and calibration phase to tailor the system to their needs.

Cadea Availability

Cloud compatibility

The platform can be deployed in cloud infrastructure, allowing the solution to be scaled quickly without the need to set up own data centers.

On-premise support

For companies with special security requirements, installation into local infrastructure is provided, guaranteeing full control over data and its processing.

Integration with third-party services

Cadea supports connecting external services and identity management systems (IAM), ensuring compatibility with tools already used in the organization.

How Cadea differs from alternatives

The main difference between Cadea and its competitors lies in its narrow specialization in AI system security. While many security platforms offer general protection mechanisms, Cadea was created with the specifics of large language models and the threats targeting them in mind.

The second key difference is deep integration with corporate infrastructure. The ability to connect to IAM systems and use existing corporate identity policies makes Cadea a more natural choice for large organizations with established security processes.

Conclusion

Cadea is a specialized solution for companies that actively implement AI tools but cannot afford compromises in data security. The platform addresses critical needs for protection against prompt injections and leaks while integrating with corporate infrastructure. However, access to the service is currently limited by invitations, and implementation requires significant configuration efforts. This makes Cadea a choice for organizations with high security requirements that are willing to invest resources in creating a secure AI perimeter.