Aegrix

Aegrix is a security API designed to prevent AI agents from inadvertently exposing customer data. The platform monitors outputs from AI-powered applications, such as chatbots, virtual assistants, and automated response systems, scanning for sensitive information like personally identifiable information (PII), financial details, and confidential business data. When sensitive data is detected, Aegrix can redact, mask, or block the output in real time, ensuring that only safe, compliant content reaches end users. The API integrates seamlessly into existing AI pipelines, requiring minimal code changes. It supports popular AI models and frameworks, providing developers with granular control over which data patterns to detect and how to handle them. Aegrix includes pre-built detection rules for common data types and allows custom policies to meet specific regulatory requirements such as GDPR, CCPA, and HIPAA. All processing is performed with low latency to avoid degrading the user experience. Beyond real-time protection, Aegrix offers detailed logging and auditing capabilities, giving organizations visibility into potential data exposure attempts. This enables security teams to identify risky AI behavior patterns and refine policies over time. The service is cloud-based and accessible via a simple REST API, with client libraries available for major programming languages to accelerate integration.

Category: Apis
Pricing: Paid

Problem solved

Organizations deploying AI agents face the risk of these systems leaking customer data, such as PII, in their responses. Aegrix solves this by providing an API layer that intercepts AI outputs, automatically detecting and redacting sensitive information before it is displayed or stored. This reduces compliance and reputational risks without requiring manual oversight of every AI interaction.

Use cases

Protecting customer support chatbots from exposing names, emails, or phone numbers in responses
Ensuring AI-generated financial reports do not include account numbers or transaction details
Redacting PII from internal AI tools that query customer databases for employee training
Preventing accidental disclosure of health information in patient-facing AI assistants
Securing automated email responses by masking personal identifiers
Auditing AI logs for potential data leaks and generating compliance reports

Audience

Developers
ML Engineers
Enterprise

Pros

Easy integration via a simple API with client libraries
Real-time protection with low latency
Supports customization of detection rules and compliance policies
Helps meet regulatory requirements like GDPR and CCPA
Provides audit trails for security monitoring

Cons

Adds an extra network dependency and potential point of failure
May not detect all edge cases without fine-tuning
Pricing not publicly disclosed, potentially costly for high volumes

Official website: https://aegrix.lovable.app/

Canonical LambdaBase page: https://www.lambdabase.com/tools/aegrix

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Aegrix

Paid

★ 1 • Updated Jun 12, 2026, 09:03 PM

Aegrix is a security API designed to prevent AI agents from inadvertently exposing customer data.

Use Cases ▼

Protecting customer support chatbots from exposing names, emails, or phone numbers in responses

Ensuring AI-generated financial reports do not include account numbers or transaction details

Redacting PII from internal AI tools that query customer databases for employee training

Preventing accidental disclosure of health information in patient-facing AI assistants

Securing automated email responses by masking personal identifiers

Auditing AI logs for potential data leaks and generating compliance reports

What Problem It Solves ▼

Key Features ▼

✓

Easy integration via a simple API with client libraries

✓

Real-time protection with low latency

✓

Supports customization of detection rules and compliance policies

✓

Helps meet regulatory requirements like GDPR and CCPA

✓

Provides audit trails for security monitoring

Overview

Full Description ▼

The API integrates seamlessly into existing AI pipelines, requiring minimal code changes. It supports popular AI models and frameworks, providing developers with granular control over which data patterns to detect and how to handle them. Aegrix includes pre-built detection rules for common data types and allows custom policies to meet specific regulatory requirements such as GDPR, CCPA, and HIPAA. All processing is performed with low latency to avoid degrading the user experience.

Beyond real-time protection, Aegrix offers detailed logging and auditing capabilities, giving organizations visibility into potential data exposure attempts. This enables security teams to identify risky AI behavior patterns and refine policies over time. The service is cloud-based and accessible via a simple REST API, with client libraries available for major programming languages to accelerate integration.