AI Data Privacy & Compliance
Your AI workflows are missing audit evidence right now.
Sensitive data moves through prompts, RAG context, tool calls, agent actions, unmask requests, and AI outputs. Protecto protects the data in place and writes a record for every decision.
- SOC 2 Certified
- GDPR & HIPAA Ready
- Live in <15 minutes
- Trusted by Engineering Teams Building AI at Scale
The Problem
Your AI is handling regulated data. You cannot prove control.
Most teams document privacy policies before launch, but the real gap is runtime evidence across prompts, tools, unmasking, and final AI responses.
You cannot prove which AI runs touched sensitive data, and every launch carries risk
Your AI reads documents, calls tools, and writes answers with regulated data moving through the flow. Without a runtime record, you cannot show what was protected or who was allowed to reveal it.
Hard-coded filters do not follow users, roles, or workflows, and policy drifts
Teams add rules in one prompt path, then agents pull data from another tool or tenant. The result is uneven protection that breaks under real AI workflows.
When auditors ask for AI evidence, screenshots and policies are not enough
GDPR, HIPAA, CCPA, and SOC 2 reviews need records from the system itself. If scan, mask, unmask, access, and block events are not logged, the audit turns into manual reconstruction.
How it works
Add one line of code. Protecto handles the rest.
Protecto sits between your AI and your data. Nothing changes in how you built your app.
Detect
Protecto watches prompts, RAG context, tool results, agent actions, and final responses. Each detection records the entity type, source, policy, and workflow where regulated data appeared.
Transform
When sensitive data is found, Protecto applies the policy for that tenant, user, role, and workflow. It can mask, block, allow, or unmask values only when the request is authorized.
Govern
Before the AI's answer reaches the user, Protecto does a final check. Every scan, mask, unmask, access, and block decision is logged with enough detail for compliance review and export.
See how to make AI workflows audit-ready in hours, not months.
Capabilities
Three ways Protecto proves AI privacy.
Protecto acts where privacy evidence is usually missing: detection, policy decisions, controlled access, and final AI responses.
Prove every AI privacy decision
Auditors need more than a diagram of the AI pipeline. Protecto creates a record of what sensitive data was detected, masked, accessed, unmasked, or blocked across each AI interaction.
- Records scan, mask, unmask, access, and block events for every protected workflow
- Connects each event to the source, entity type, policy, tenant, and timestamp
- Gives compliance teams exportable evidence without rebuilding logs from app traces
Enforce policies across AI workflows
AI workflows do not stay inside one prompt path. Protecto applies privacy and compliance policies across users, roles, tenants, tools, and AI responses so the same rule follows the data.
- Applies default and tenant-specific masking policies to each AI workflow
- Allows controlled unmasking only for approved users, roles, systems, and contexts
- Keeps the surrounding context intact so policy enforcement does not break the answer
Keep regulated data out of AI context
Sensitive data can enter AI through prompts, RAG context, tools, agents, and outputs. Protecto protects regulated data before it reaches the model and checks the answer before a user sees it.
- Masks regulated data before it enters prompts, retrieved documents, tools, or agents
- Checks every final answer for sensitive values before the user receives it
- Preserves AI context with machine-readable tokens instead of blunt redaction
Customer story
How one AI agent platform made privacy controls part of every workflow
Challenge: A global RPA company was launching an AI agent framework where PII and PHI could move through prompts, tools, customer tenants, and generated responses without per-tenant audit evidence.
3,000+ customer AI agent framework launched — audit trails per tenant
“The blocker was never whether the agent could answer. It was whether we could prove what sensitive data it touched, which policy applied, and what each tenant could see.”
— Head of Product Security, Global RPA Platform
3,000+
Companies safeguarded by the framework
4 regs
GLBA, HIPAA, GDPR, and DPDP coverage
Per tenant
Audit, metering, and policy controls
Integrations
Works where your data lives
One line of code. Drop it into what you already built. Nothing else changes.
Common Questions
Questions from security and AI teams
Where can privacy and compliance risk occur in an AI app?
Privacy risk can occur in prompts, RAG context, tool outputs, agent memory, logs, unmask requests, and final AI responses. Protecto checks each path and records what happened to sensitive data. That gives privacy and compliance teams evidence from the live workflow, not a policy document alone.
Does policy enforcement break the AI's answers?
No. Protecto uses context-preserving masking, so sensitive values are replaced with safe labels while the surrounding meaning stays intact. Protecto benchmarks show less than 1% accuracy degradation compared with unmasked inputs.
How long does it take to get started?
Most teams can protect their first AI workflow in under 15 minutes. Protecto works through API calls and SDK wrappers for the AI stack you already use. Larger policy rollouts can start with one workflow, then expand by tenant, role, or data source.
Which privacy laws does Protecto help with?
Protecto helps with GDPR, HIPAA, CCPA, GLBA, and DPDP requirements by detecting regulated data, applying protection policies, and keeping audit records. It also supports SOC 2 control evidence and OWASP LLM Top 10 data disclosure controls. Your team can export records for scan, mask, unmask, block, and access events.
Does Protecto work with LangChain, LlamaIndex, and OpenAI?
Yes. Protecto works with LangChain, LlamaIndex, OpenAI, Azure OpenAI, Amazon Bedrock, Anthropic, Snowflake, Databricks, and agent frameworks. You can place it before prompts, before RAG context, after tool calls, and before final responses.
Can authorized teams still access the original data?
Yes. Protecto supports reversible pseudonymization and controlled unmasking for users, roles, and systems that are allowed to see the original value. Every unmask request is governed by policy and written to the audit trail.
AI Data Privacy & Compliance
Prove AI workflows are private, controlled, and auditable. Every decision logged.
30 minutes. We'll show you exactly where privacy and compliance risk appears in your AI today, and how to prove control.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001