Ship AI features
without shipping your
customers' data.
SaaS companies embedding AI face a trust paradox: customers want AI features, but don't want their data flowing to LLMs. TapPass lets you ship features that enterprise customers actually approve.
The AI feature dilemma for SaaS
You need AI to stay competitive. Your enterprise customers need governance to approve it. Without a governance layer, every deal stalls at security review.
Cross-tenant data leakage
Your AI feature processes customer A and customer B through the same model. One customer's data influences another's output.
Security questionnaires block deals
Every enterprise asks: where does data go? How is it logged? Without governance, your AI feature fails security review.
User-generated prompt injection
A customer's end-user enters malicious input. Your AI feature leaks other users' data. You're liable.
AI cost blowout per tenant
One power user triggers thousands of LLM calls. Without per-tenant budgets, margins evaporate.
Building governance from scratch
Your eng team spends months building PII detection, audit logging, and access control. Competitors ship faster.
No visibility into AI behaviour
Your AI feature makes decisions you can't explain, generates costs you can't attribute, processes data you can't trace.
Ship governed AI features with drop-in integration
Drop-in governance. Pass every enterprise security review.
Multi-tenant isolation
Every customer is an isolated organisation. All queries, audit entries, and policies scoped per tenant.
- Per-tenant agent boundaries
- Session isolation with taint tracking
- Dedicated deployment for enterprise
SOC 2 ready audit trail
Hash-chained, tamper-evident logs. Show your auditor the complete data flow from input to AI output.
- Trust attestation with signed JWTs
- Trust Center page to share with prospects
- OpenTelemetry and Prometheus metrics
Drop-in integration
Stop building governance. Start shipping features. Minimal code changes for full governance.
- Python & TypeScript SDKs
- OpenAI-compatible API
- LangChain, CrewAI, LlamaIndex support
Per-tenant cost control
Budget enforcement per org, per agent, per user. Rate limiting with full attribution.
- Hard budget caps with alerts
- Token usage per tenant
- Cost anomaly detection
Customer data protection
Detect and redact PII, secrets, and proprietary data before it reaches the LLM.
- Per-customer pipeline configuration
- Shadow mode for testing policies
- Data classification per request
Fleet observability
Health scores, drift detection, and monitoring across all agents. Catch problems before customers report them.
- Composite health scores per agent
- Behavioural pacts enforce scope
- Canary tests catch regressions
Ship AI features that enterprise customers approve.
Drop-in integration. Full governance. Pass every security review.