GenAI prompt safety and pseudonymisation

Clean prompts, safe AI, zero risk

Clean AI Prompts automatically detects and pseudonymises sensitive data in your prompts and context. Preserve useful context for AI while eliminating compliance risk and protecting user privacy.

Built for data-sensitive teams
Ready for RAG, training and inference
Before
User: john.smith@company.com
Phone: +44 20 7946 0958
Account: 12345678
"Process this customer inquiry..."
After
User: {{email_address_abc123...}}
Phone: {{phone_number_def456...}}
Account: {{account_number_ghi789...}}
"Process this customer inquiry..."

The Problem

Why you need Clean AI Prompts

Sensitive data leaking into prompts

Personal information, credentials, and confidential data slip into prompts and logs, creating compliance violations and security risks that are hard to detect and remediate.

Inconsistent prompts across teams

Different teams and tools generate prompts with varying quality and safety standards, making governance difficult and increasing the chance of errors.

Compliance and audit risk

Without proper controls, you face regulatory penalties, audit failures, and retention challenges that can derail AI initiatives and damage trust.

The Solution

How Clean AI Prompts works

Clean AI Prompts sits in the path of prompts and context, automatically detecting and pseudonymising sensitive data while preserving useful context for AI models.

1

Automatic detection

Advanced PII detection identifies names, emails, phones, IDs, and other sensitive entities using NLP and pattern matching.

2

Smart pseudonymisation

Replace sensitive values with deterministic tokens that preserve context for AI while protecting real-world identities.

3

Controlled re-identification

Authorised workflows can safely re-identify tokens using policy-based access controls and audit trails.

4

Full audit trail

Every detection, pseudonymisation, and re-identification is logged for compliance, investigations, and governance.

In Action

Clean AI Prompts in your workflow

Before training or RAG

Clean raw content before indexing or fine-tuning. Remove sensitive data while preserving semantic meaning, so your vector store and models learn from safe, structured prompts.

  • Protect training data from PII exposure
  • Maintain semantic relationships for better embeddings
  • Enable safe data retention and compliance
Data Pipeline
Raw prompts
Customer data with PII
Clean AI Prompts
Pseudonymisation
Safe prompts
Tokenised data
Vector store / Model
Indexed & trained
Runtime Flow
User input
Chat message with PII
Clean AI Prompts
Real-time cleaning
Model
Processes safe prompt
Response
Clean output

During inference and chat

Clean user inputs at runtime before they reach your models. Protect conversations, queries, and context in real-time without impacting user experience or AI performance.

  • Zero-latency cleaning for interactive experiences
  • Prevent PII from entering model context
  • Maintain conversation context without exposing identities

Use Cases

Built for teams that care about privacy

Internal copilots

HR, Legal, and Finance teams can use AI assistants safely with employee and client data protected by default.

Customer support

Automate ticket triage and responses while keeping customer information pseudonymised throughout the workflow.

Analytics and RAG

Build search and analytics over sensitive content with confidence that PII never enters your vector stores.

Regulated industries

Financial services, healthcare, and public sector teams can deploy AI with the governance and compliance controls they need.

Trusted by teams

Built for production AI

"Clean AI Prompts gave us the confidence to deploy AI assistants across our organisation. We know sensitive data is protected without sacrificing the quality of our AI interactions."

Sarah Chen
Head of AI, TechCorp Financial

"The audit trail and policy controls are exactly what we needed for healthcare compliance. Clean AI Prompts makes it easy to prove we're handling patient data correctly."

Dr. Michael Torres
CTO, HealthData Systems

Security & Compliance

At a glance

PII-aware cleaning
Detects and protects all sensitive entity types
Controlled re-identification
Policy-based access with audit trails
Audit-friendly logs
Complete history for compliance reviews
API-first architecture
Integrates with any stack or workflow

Resources

Learn more about prompt safety

Guide

Getting started with prompt cleaning

Learn how to integrate Clean AI Prompts into your existing workflows and start protecting sensitive data today.

Read more →
Blog

Best practices for AI data governance

Explore strategies for managing sensitive data in AI applications while maintaining performance and user experience.

Read more →
Documentation

API reference and examples

Complete API documentation with code samples for common use cases and integration patterns.

Read more →

Make every prompt safe, structured, and ready for production

Join teams building AI features with confidence. Start protecting sensitive data today.