Solutions
Start from the problem you need to solve.
- PII redaction for LLM apps
- Shadow AI
- Secure Access to AI Tools
- RAG and Embeddings
- Customer Support AI
- Secrets in Prompts
By use case
PII redaction for LLM apps
Detect and mask personal data, secrets and customer records before they reach any AI provider.
Read more →Shadow AI
Network blocklists and CASB categories lag behind the hundreds of new AI apps, and they can't tell a personal ChatGPT account from your company workspace. Maskflare is built for the AI channel specifically: it knows the apps, the accounts and the data.
Read more →Secure Access to AI Tools
Traditional DLP watches email and file uploads. It can't see text pasted into a chat box, which is exactly where employees now put customer data every day.
Read more →RAG and Embeddings
Masking only the chat call leaves names and emails in the embeddings provider and the vector store. Random tokens break retrieval. Deterministic tokens keep it working.
Read more →Customer Support AI
Support tickets and call transcripts are full of names, emails, and card numbers. Stripping them makes AI replies useless; restoring them after masking does not.
Read more →Secrets in Prompts
Secret scanners check commits. They don't see a key pasted into a chat box or read by a coding agent, and once it is in a provider's logs you have to rotate it.
Read more →Voice AI
Voice agents send audio and text over one live session. Masking the text events cuts what the provider gets in transcripts and tool calls; audio is not masked.
Read more →By AI app
Secure the AI apps your teams already use
Maskflare for
The tools you already use
By regulation
The rules you answer to
- GDPR: What the GDPR asks of you when staff and applications send personal data to ChatGPT, Claude or an LLM API, and how masking supports minimization and pseudonymization.
- UK GDPR: How the UK GDPR, the Data Protection Act 2018 and ICO guidance apply when UK organizations use AI models, including transfers to US providers over the UK-US data bridge.
- EU AI Act: Which EU AI Act obligations apply to companies that use general-purpose AI tools, which apply to companies that build AI systems, and the timeline after the 2026 Digital Omnibus.
- Swiss nFADP: How the revised Swiss Federal Act on Data Protection applies to AI tools, why its fines target responsible individuals, and what cross-border disclosure means for US AI providers.
- HIPAA: How HIPAA applies when clinicians and health apps send protected health information to AI tools: business associate agreements, Safe Harbor's 18 identifiers and the minimum necessary rule.
- PCI DSS: Why card numbers in prompts pull AI tools into PCI DSS scope, what v4.0.1 says about masking and sensitive authentication data, and how to keep PANs out of AI providers.
- DORA and FINMA: How DORA's ICT third-party risk rules treat AI providers for EU financial entities, and what FINMA Guidance 08/2024 expects from Swiss institutions using AI.
See it on your own data
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- SOC 2 Type II: In progress
- ISO 27001: In progress
- EU hosting by default · on-premises available
- Prompts and files never stored
- Never used to train AI models
- GDPR · nDSG · DPA available
- Trust center →