Trust Center

Security

How Chameleon Eye AI protects your data through security architecture, access control, and operational security practices. Compliance certifications are on the roadmap.

Compliance and Assurance Status

Current status of compliance programs and assurance milestones.

Early-Stage Product

SOC 2, ISO 27001, and penetration testing are planned milestones — none have been completed yet. See the compliance roadmap for timeline context.

Security Architecture

Every request passes through authentication, privacy guard, entitlement checks, and cloud consent before reaching the intelligence router.

User App / Desktop / Web
Chameleon Eye API
Authentication
Entitlement Check
Privacy Guard
Cloud Consent
Intelligence Router
Approved AI Route
Response Validation
Usage Audit Metadata

The browser communicates only with Chameleon Eye AI-controlled API routes. No AI provider keys are exposed in the frontend. The Approved AI Route is reached only after all checks pass.

Provider Key Protection

Provider API keys remain server-side and are not embedded in desktop, web, or mobile clients.

Logging Policy

Chameleon Eye AI does not log raw private prompts, full AI responses, private files, or secrets in normal application logs. Usage metadata may be stored for billing, abuse prevention, and audit integrity.

Data Isolation

Customer data is separated by account and protected through application authorization and database access controls.

Key Security Principles

Implementation status across all major security dimensions.

No provider API keys in frontend code

Implemented

AI infrastructure credentials are held exclusively on the server. The frontend never contains or exposes any provider API key.

No provider keys in browser or desktop app

Implemented

The web app and the desktop app do not store, transmit, or require any AI provider key at the client layer.

Server-side key management

Implemented

All provider credentials are managed server-side, rotated on schedule, and never written to client-readable storage.

Secrets not written to logs

Implemented

Log scrubbing is applied at the server layer. API keys, tokens, and sensitive fields are redacted before any log write.

User data isolation

Implemented

Each workspace is isolated at the data layer. Queries are scoped by authenticated identity and workspace context.

API rate limiting

Planned

Rate limiting is planned for the production API. It is not actively enforced in the current developer preview.

Security headers

Implemented

All responses include X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, and Content-Security-Policy headers.

Cloud consent gate

Implemented

Cloud analysis requires explicit user approval via the consent gate before any selected text is transmitted.

Audit log metadata

Implemented

Request metadata — mode, timestamp, status, token count — is logged for owner review. Raw content is not logged.

Additional Security Measures

Operational and infrastructure security practices.

Transport Security

All traffic between the client and Chameleon Eye AI servers uses HTTPS/TLS. Strict-Transport-Security headers enforce TLS in production environments.

Local Private Mode

In local mode, no data is transmitted to Chameleon Eye AI or any AI provider. Processing remains on-device for maximum isolation. See Local Mode for details.

Dependency Management

Third-party dependencies are reviewed before addition. Supply chain security practices are applied to avoid introducing vulnerable or malicious packages.

Security Contact

To report a vulnerability or ask a security question, use the contact form with subject “Security Report”. A dedicated security email will be published following commercial launch.

Contact Security Team