Your agents read files, call tools and write answers with customer data inside. Protecto applies your policy at each step and logs what was masked and who saw real values.
SOC 2 Type II · ISO 27001 · HIPAA, BAA available
Automation Anywhere protects AI agents for its enterprise customers
Live enterprise tenants
Tenants, each with its own policy and retention
Every reveal of original values
A health insurer ships an agent that answers claims questions. It reads the member’s file, looks up the claim in the CRM and drafts a reply. Months later an auditor asks which member data the agent saw, which model received it and who saw real values.
The app logs show prompts and tool calls. They do not show what was protected.
Without a runtime record, the answer to the auditor is a diagram and a policy document. Teams rebuild the story from app traces by hand.
A filter added to the chat prompt does not follow the data into retrieval, tools or agent memory. Permissions on the source file do not travel with the chunks a search index returns.
DLP still guards email, endpoints and file transfers. It was not built to follow data into prompts, retrieved context and tool calls, and blunt redaction leaves the model guessing.
Staff and customers paste names, account numbers and health details into requests. Protecto masks them before any model sees them.
Search indexes return chunks from contracts, tickets and records. Protecto masks the values and filters what this user may see.
A CRM or payments tool may need the real value. Protecto restores it only for the tools your policy approves.
Answers, agent memory and log stores keep what passes through. Protecto checks each response and keeps logs on tokens.
Protecto runs as SaaS, on-premises, in your private cloud or air-gapped, in the path where data enters, moves through or leaves your AI.
DeepSight finds names, IDs, cards and health details inside sentences, across 50+ entity types plus your own formats. It outperformed AWS Comprehend and Microsoft Presidio in an independent benchmark.
Protecto Privacy Vault replaces each value with a consistent, format-preserving token, so the model can still follow one customer through a file. Real values and mappings stay with you.
Context-Based Access Control (CBAC) decides who and what gets real values back. A claims analyst sees the name. The model and the log store never do.
Each scan, mask and reveal is recorded with the user, policy and destination, so a review starts from the system’s own record. Protecto Privacy Gateway does this for AI chat and agent tool calls.
“Protecto enabled us to deliver data security, privacy, and compliance for our AI features at scale across 5,000+ enterprise clients, strengthening customer trust in our AI automation solutions.”
Each law words it differently. Each one asks you to show control, not only describe it.
You must be able to demonstrate compliance (Art. 5(2)), build in measures such as pseudonymization (Art. 25) and record who receives personal data (Art. 30).
The Security Rule asks for audit controls that record activity in systems holding ePHI (164.312(b)), and access only for people and software granted rights (164.312(a)(1)).
Rule 6 lists masking and virtual tokens as safeguards, with logs of processing kept for at least one year.
The 2026 regulations add risk assessments and, above the thresholds, an annual independent cybersecurity audit.
Summaries, not legal advice. Confirm your position with counsel.
In prompts, retrieved context, tool and MCP calls, agent memory, logs and final responses. Protecto checks each of these paths and records what happened to sensitive data at each one.
Consistent, format-preserving tokens keep who-is-who intact, so the model can still reason over the file.
Yes. Controlled unmasking returns real values only to the users, roles and tools your policy names. Every reveal request is logged, including the ones where the data stayed masked.
Usually, yes. Tokenization is pseudonymization, not anonymization: while a mapping exists, a token can be linked back to a person. It reduces what each recipient holds; your counsel decides what agreements each recipient still needs.
Protecto gives you controls and records that map to GDPR, HIPAA, DPDP, CCPA/CPRA and the Gulf privacy laws. Each compliance page maps the rules one by one.
Protecto is model agnostic. It works with models from OpenAI, Anthropic and Google, or one you host, and sits in front of prompts, retrieval, tool calls and responses in the stack you already run.
Share a sample prompt, document or tool call. We will show you what each model, tool and person receives, and what gets logged.
This datasheet outlines features that safeguard your data and enable accurate, secure Gen AI applications.
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A framework for finding where sensitive data moves through your AI systems, before a security review or an auditor finds it for you.
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24 yes or no questions across the six places sensitive data leaks in agentic AI, from model requests to tool calls and agent memory.
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