The data security layer for agentic AI

Let AI agents, models, and MCP tools work with sensitive data, without leaks or compliance risk.

Protecto masks sensitive data so the model keeps its context, and agents stay accurate instead of guessing.

SOC 2 Type II · ISO 27001 · HIPAA compliant

Real values, inside your environmentTokens

Trusted by regulated enterprises & agentic platforms

Case study results

Banking, enterprise automation, and SaaS teams running Protecto in production

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99%

Recall on sensitive data, with 96% precision, including Arabic, at a Middle East bank

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5,000+

Live enterprise tenants protected at Automation Anywhere

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13M+

Long texts protected per day at a SaaS company

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Where AI agents put sensitive data at risk

Confidential data leaking across multi-agent workflows

A sales agent pulls a customer's deal file to prepare a renewal. It passes that context to a second agent that drafts partner updates. The negotiated discount goes along with it and ends up in a note to a reseller. Nobody shared it on purpose. Each agent only used what the one before it handed over.

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PII and PHI exposed in prompts, retrieval, and outputs

A claims assistant pulls a full patient file to answer one question about a deductible. The model receives every diagnosis and ID in the record. The answer repeats details the person asking was never meant to see, because the access rules lived on the record and not on the response.

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Data sovereignty and residency in agentic AI

A bank in the Middle East wants its agents on the strongest models. Those models run in data centers outside the country, and the regulator says customer data stays home. So the bank settles for a weaker local model, or keeps AI away from the data that matters most.

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DLP and redaction were not built for AI agents

They were built for files and email. Agents move data in ways those tools cannot see, and their fixes break the agent.

DLP does not see agent traffic

DLP watches files, email, and endpoints. Agents move data as plain text inside API calls, retrieved documents, and tool messages. A discount term or a legal note has no pattern for a rule to catch.

Redaction and random tokens make agents hallucinate

Real values become [REDACTED] or random tokens that mean nothing to the model. It loses track of who is who and guesses. A placeholder sent to a claims system finds nothing. Teams switch protection off to ship, and the risk comes back.

agent.run(claim_status)Example

UserAsks
Has Priya Shah's claim CLM-48213 been paid?
ModelSees
Claims toolMCP call
AgentAnswers

Real valueProtecto tokenRedacted

Protect the data and keep the AI accurate

AI that stays accurate

Protecto replaces names, IDs, and account numbers with consistent, format-preserving tokens. The same customer maps to the same token across prompts and documents, so the model keeps the context it needs and does not have to guess. A Middle East bank kept 85% semantic accuracy after masking.

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The right data for each tool and MCP server

An agent reasons over tokens, but a tool or MCP server often needs the real value to complete a lookup. Protecto Gateway resolves those values for authorized tool calls automatically, so each step gets only the data it needs and your team does not build that logic.

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Sensitive data beyond PII

Deal terms, internal risk analysis, HR notes, and legal strategy carry no fixed pattern. Protecto finds this business-confidential context as well as 50+ PII, PHI, and PCI entity types, plus custom entities you define.

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Access by user, agent, and task

Not everyone needs every field to finish a task. With Context-Based Access Control (CBAC), Protecto applies your access rules at runtime, so a support rep, a finance analyst, and an agent each get the version of the data their role allows.

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What customers say

“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.”

Steve Shah
SVP Product, Automation Anywhere

“Protecto enabled our team to harness the full power of AI and analytics while maintaining strict HIPAA compliance and data privacy.”

Arun Krishnaswami
Inovalon

Deploy where your data lives

On premises or private cloud

Run Protecto inside your own environment, including air-gapped setups. Detection and masking happen there, so real customer values stay with you and external models only receive tokens.

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As a gateway

Put Protecto Gateway between your apps and the models and tools they call. It masks sensitive data on the way out, resolves real values for authorized tool calls, restores them for authorized users, and logs each request. The Vault APIs are included.

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Through APIs

Call the Protecto Vault APIs directly at each point where data moves: before the LLM call, on retrieval, on MCP and tool calls, and before the response goes back to the user. You control where each call sits and how tools get real values.

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Most teams start with a POC on their own data. One health analytics team ran theirs in under a week.

Questions security teams ask first

Do we still need DLP?

Yes. DLP covers email, files, and endpoints. Protecto covers the AI workflow: prompts, retrieval, agent-to-agent handoffs, tool and MCP calls, and responses. The two work side by side.

Which models and agent frameworks does Protecto work with?

Protecto is model agnostic. It sits between your applications and any LLM provider, including OpenAI, Anthropic, Google, and self-hosted models, and it is called through the Gateway or the Vault APIs from your agents and MCP servers.

Why don't agents hallucinate on Protecto tokens?

Each real value maps to the same token every time it appears, and the token keeps the format of the original. The model can follow who is who across the conversation. When a tool needs the real value, the Gateway resolves it for authorized calls.

Where does sensitive data go?

In on-premises and private cloud deployments, detection and masking run inside your environment. Real customer values stay with you, and external models only receive tokens.

Can Protecto protect data that is not PII?

Yes. Protecto finds business-confidential context such as deal terms, risk analysis, HR notes, and legal strategy, and CBAC controls who and which agents can see it.

How long does a POC take?

It depends on your data and use case. One health analytics team ran its POC in under a week. A Middle East bank completed its evaluation in 4 weeks.

Move your blocked AI projects past security review

Bring one use case that compliance or security has stopped. We will show you how Protecto protects the data and keeps the agent accurate.