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PUVILabs

  • Security & Trust Compliance at PUVINoise™

    At PUVI Labs, security and trust are foundational principles in the design and operation of PUVINoise™.

    Organizations deploying AI agents often process sensitive data, critical workflows, and enterprise knowledge systems. Ensuring that this data remains secure and compliant is essential.

    PUVINoise™ is built with security-first architecture to help organizations monitor and analyze AI agent behaviour while maintaining strict control over data access, privacy, and compliance.

Our Security Philosophy

AI systems introduce new operational and governance risks. PUVINoise™ is designed with a "secure-by-design" approach to ensure your infrastructure remains protected while maintaining complete observability.

Minimal Data Exposure

Only collect essential metadata needed for observability and compliance

Strong Isolation

Strict logical separation between customer environments and data

Full Transparency

Complete visibility and auditability of all system operations

Enterprise Security Principles

Secure by Design

Security is embedded into the platform architecture from the ground up.

Every component of PUVINoise™ is designed with strong access control, encryption, and data protection mechanism


Data Protection

PUVINoise protects telemetry and agent data through industry-standard encryption.

Encryption in transit
 All data transmitted between agents, services, and the PUVINoise™ platform is encrypted using secure TLS protocols.

Encryption at rest
Sensitive data stored by the platform is encrypted using modern encryption standards.

Data Collection & Privacy

At PUVI Labs, we recognize that organizations deploying AI agents often process sensitive enterprise data, proprietary workflows, and internal knowledge systems. Protecting this data and maintaining strong privacy practices is fundamental to the design and operation of PUVINoise™.

PUVINoise™ is designed to provide deep observability and behaviour intelligence for AI agents while ensuring that organizations maintain full control over their data.

What We Collect

To provide observability and behaviour intelligence, PUVINoise™ collects operational telemetry generated by AI agent workflows.

This may include:

Agent execution telemetry

• prompts and responses generated during agent workflows
• tool invocation metadata
• workflow execution steps
• reasoning trace metadata
• system performance signals such as latency and errors

Operational platform data

• usage metrics related to the PUVINoise™ platform
• configuration settings
• system logs used for reliability and debugging

This information enables the platform to analyze agent behaviour and provide operational insights.

    What We Don't Collect

    PUVINoise™ is designed to minimize unnecessary collection of sensitive data.

    The platform does not intentionally collect:

    • unrelated customer application data
    • personal user information outside of platform access requirements
    • enterprise data not required for observability and behaviour analysis

    Organizations maintain control over what telemetry is collected through configurable settings.

      Customer-Controlled Telemetry

      Organizations using PUVINoise™ maintain full control over their telemetry and data collection configurations.

      Customers can:

      • configure which telemetry signals are collected
      • restrict sensitive data fields
      • apply data masking or redaction policies
      • manage access permissions to collected data

      These controls enable teams to align the platform with internal data governance policies.

        Data Security and Protection

        PUVINoise™ applies industry-standard security practices to protect collected data.

        These practices include:

        • encryption of data in transit using secure protocols
        • encryption of stored data
        • strict access control mechanisms
        • infrastructure monitoring and security controls

        These safeguards ensure that operational telemetry and platform data remain protected.

        Data Retention

        PUVINoise™ allows organizations to configure how long telemetry data is retained.

        Retention policies can be aligned with:

        • operational debugging needs
        • internal governance requirements
        • regulatory compliance policies

        Customers can manage retention settings based on their operational and compliance requirements.

        Privacy by Design

        PUVI Labs applies a privacy-by-design approach when developing the PUVINoise™ platform.

        This means:

        • minimizing unnecessary data collection
        • enabling strong customer control over telemetry
        • protecting sensitive data through security safeguards

        Our goal is to ensure that organizations can gain the insights needed to operate AI agents while maintaining responsible data handling practices.