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Learn how we protect your data, what you can expect from us, and the policies that govern your use of the platform.

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Security Overview

Team Chat Code security practices covering multi-tenancy isolation, encryption, and compliance roadmap.

Security Overview

Version: 1.0   |   Last updated: November 11, 2025

Team Chat Code provides infrastructure and platform services that enable organizations to build multi-tenant AI chatbots. This document summarizes our security practices and design principles. This is an overview, not a guarantee of security outcomes.

1. Architecture Security

1.1 Multi-Tenancy Isolation

Our platform is designed with tenant isolation as a core principle:

  • Every record carries a team_id and is protected by Row Level Security (RLS) policies in Supabase
  • Bots, documents, chunks, and embeddings are scoped to team_id; our query design aims to prevent cross-team access
  • API calls resolve user → profile → team context on the server—never on the client
  • We implement access controls and validation to enforce tenant boundaries

Note: While we implement multiple layers of isolation, no system is 100% secure. Customers should not rely solely on platform controls for sensitive data protection.

1.2 Encryption & Secrets

  • In transit: We aim to enforce TLS 1.2+ for all HTTP and database connections
  • At rest: Data stored in Supabase Postgres and Storage benefits from infrastructure-level encryption (AES-256 where supported by Supabase)
  • Secrets management: API keys and sensitive configuration stored in Vercel/Supabase environment variables, with rotation procedures in place

Note: Encryption at rest depends on infrastructure provider capabilities. Customers should verify current encryption status for their data residency requirements.

2. Data Handling

2.1 Document Ingestion

  • Supported formats: PDF, DOCX, Markdown, TXT, HTML (whitelisted and sanitized)
  • Content moderation: Uploaded text may be screened using OpenAI Moderation API; flagged files may be quarantined and excluded from embeddings
  • PII filtering: Optional regex filtering for PII (emails, card numbers, SSNs) may be available

Customer responsibility: Customers are responsible for ensuring uploaded content complies with applicable laws and does not contain sensitive data requiring special handling.

2.2 Storage & Embeddings

  • Files stored in Supabase Storage under /teams/{team_id}/docs/{uuid} paths
  • Embeddings stored in Postgres pgvector, partitioned by team_id and collection_id
  • Vectors contain semantic representations; we aim to avoid storing raw secrets or PII in vectors

2.3 Retention

  • Customer content retained while the subscription is active
  • Deleted documents and embeddings are targeted for hard-deletion within 30 days; actual deletion timing may vary
  • Audit logs retained for approximately 90 days for security analysis

3. Application Security

3.1 Authentication & Access Control

  • Authentication: Supabase Auth (email links, OAuth). JWTs validated on requests
  • Access controls: Admin actions may require server-side validation and re-authentication
  • Bot visibility: Bots respect visibility flags: private (team-only) or public (read-only sharing)

3.2 Rate Limiting & APIs

  • Rate limiting implemented per team and per IP address to mitigate abuse
  • API keys hashed with bcrypt, scoped to team_id, stored with encryption where supported
  • Exponential back-off and suspension procedures for detected abuse

3.3 Audit & Monitoring

  • Create/update/delete actions logged to audit_log tables
  • Error and access logs streamed to logging services (Vercel Logs, Supabase Logs)
  • Monitoring for suspicious patterns (e.g., excessive uploads) with alerting where configured

4. AI & Prompt Security

  • Moderation: Prompts and uploads may be screened with OpenAI Moderation API before reaching model APIs
  • Context handling: Retrieved context is intended to be ephemeral for individual requests; we aim not to use prompts or chunks for model training by default
  • Model providers: We use vetted providers (OpenAI, Anthropic) accessed over TLS endpoints

Note: Model provider behavior, availability, and data usage policies are outside our control. Customers should review provider terms and configure settings accordingly.

5. Infrastructure

  • Hosting: Services hosted on Vercel and Supabase (both report SOC 2 Type II certification)
  • Dependencies: We aim to perform regular dependency updates and vulnerability scanning
  • Application security: We implement security headers (CSP, XSS, CSRF protections) where applicable
  • Backups: Backup procedures in place; encryption status depends on infrastructure provider

Note: Infrastructure security depends on third-party providers. We rely on their certifications and security practices but do not control their operations.

6. Compliance & Roadmap

  • Data protection: We aim to align our data handling practices with GDPR/PDPA principles
  • Terms compliance: Our Terms of Service prohibit illegal, copyrighted, or sensitive data uploads
  • DPA availability: Data Processing Addendum (DPA) is available at /legal/dpa.
  • SOC 2: SOC 2 readiness assessment planned for Q3 2025 (roadmap item, not current status)
  • Future enhancements: BYOK encryption and real-time anomaly detection are under consideration

7. Incident Response

  • Monitoring: Incident channels monitored by our engineering team
  • Response process: We aim to follow a standard process: detection → triage → containment → customer notification (target: within 72 hours where feasible)
  • Documentation: Post-mortems documented; mitigation tasks tracked to closure

Note: Response times and procedures may vary based on incident severity and resource availability.

8. Vulnerability Reporting

We encourage responsible disclosure of security vulnerabilities. Report issues to security@teamchatcode.com. Please include:

  • Description of the vulnerability
  • Steps to reproduce
  • Potential impact assessment
  • Your contact information

We aim to acknowledge reports within 48 hours and provide updates on remediation progress.

9. Customer Responsibilities

Customers are responsible for:

  • Configuring bots, prompts, and settings appropriately for their use case
  • Implementing appropriate disclosures and disclaimers for end users
  • Ensuring Customer Content complies with applicable laws and regulations
  • Managing access controls and user permissions within their teams
  • Monitoring and responding to security incidents affecting their accounts

10. Limitations & Disclaimers

  • No absolute security: No system is 100% secure. We implement security measures but cannot guarantee prevention of all security incidents
  • Third-party dependencies: Our security posture depends on infrastructure providers (Vercel, Supabase) and AI model providers (OpenAI, Anthropic). Their security practices and availability are outside our direct control
  • Customer configuration: Security outcomes depend in part on Customer's configuration choices, content, and use of the Services
  • Evolving threats: Security practices evolve in response to new threats. This document reflects our current practices and may be updated

Need More Details?

For security questionnaires or enterprise inquiries, contact security@teamchatcode.com or legal@teamchatcode.com.

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