Context Security for Agentic AI

Protect Enterprise Data Across Every AI Interaction

One platform across LLMs, agents, and MCP pipelines. Protecto sits between your enterprise data and every AI system. It detects sensitive information, masks it in real time, enforces who sees what, and logs everything.

>99.9%

Detection accuracy

Minutes

To integrate

HIPAA · GDPR

PDPL · DPDP ready

Applications
What data is this user allowed to see or use?
RAG pipelines
What retrieved content can safely enter the AI context?
Agent gateways
What data agents are allowed to read, use, and share?
MCP tools
What exact fields does this approved action need?
AI gateways
What data should be allowed to reach the model?
Protecto
Runtime data control plane
One vault
Detects and protects PII, PHI, and business-confidential data.
One policy enforcement
Decides what to allow, mask, block, minimize, or selectively reveal.
One platform
Provides audit, compliance, admin controls, and multi-tenant governance.
Trusted by regulated enterprises & agentic platforms
Inovalon
Automation Anywhere
Context Security For Agentic Ai
Bank Of Muscat Logo
Context Security For Agentic Ai
The Problem

Sensitive Data Moves With AI Context. Security Should Too

Traditional security draws a perimeter around data: databases, firewalls, structured folders. AI doesn't respect that perimeter. It pulls data from everywhere, rewrites it into prompts, summaries, and agent actions, and sends it across systems. The data changes form. The sensitivity doesn't. Security needs to follow the context, not the perimeter. Context Security.

“Protecto enabled us to deliver data security, privacy, and compliance for our AI features at scale across 3,000+ enterprise clients, strengthening customer trust in our AI automation solutions.”
3,000+
companies' sensitive data protected
1M+
AI interactions with zero data breaches
faster AI adoption in regulated industries
Why Now

Why Traditional Controls Fail in the AI Era

Your access controls, DLP rules, RBACs, and compliance models were designed for predictable, fixed data flows. AI broke that assumption.

DLP Wasn't Built for This

AI needs data. DLP gives you two options: block it and break AI, or allow it and lose control. You need a third option.

RBAC stops at the source

You control who queries the database or sees files. You don't control what AI does once data enters the reasoning layer. Your RBAC no longer applies.

Compliance roadblocks

GDPR, HIPAA, PDPL, and DPDP assume you know where data lives and how it's used. AI reads, transforms, and moves data across systems in seconds. Your audit trail goes dark.

Why Now

The Context Security Platform in Action

A lightweight API layer that plugs into your AI stack. No architectural changes. Production-ready in days.

01

Tokenize at Ingestion

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02

RBAC at Inference

03

Prevent Data Leaks

bullseye
04

Maintain AI Accuracy

Context-Based Access Control

Role-based access isn't enough for AI agents. Meet CBAC.

Traditional RBAC was designed for humans clicking through apps. AI agents don’t work that way — they call tools, chain actions, and access data in ways no static role can govern.

Protecto’s CBAC makes data access decisions at the moment the agent asks — based on who’s asking, why, and what context they’re operating in.

Who is requesting this record?

→ Anonymized aggregates only, every field stays tokenized.

Why Now

Why AI-First Enterprises Choose Protecto

Ship AI faster. Stay compliant. Keep accuracy intact.

Security Without Compromise

Generic redaction destroys context. Protecto’s tokenization preserves semantic meaning. Your LLMs generate accurate responses, even on protected data.

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RBAC for AI Agents

Control who sees what at inference time. Sales agents can’t access support data. Analysts see anonymized aggregates. Supervisors unmask when authorized.

Discover & Protect Data

Protecto scans your entire data landscape: prompts, responses, documents, logs. Discovers PII, PHI, and business confidential data without manual tagging.

Proven Compliance and Sovereignty

Stop building compliance infrastructure from scratch. Protecto comes pre-configured with policies, audit trails, and reporting for major regulations. Pass audits faster with zero custom development.

Case studies

Leading enterprises use Protecto

Real-world deployments protecting sensitive data in AI pipelines.

“Protecto enabled our team to harness the full power of AI and analytics while maintaining strict HIPAA compliance and data privacy.
1,000+
documents tested in < 1 week
< 30 days
to full deployment
$25M+
projected revenue in 12 mo
100%
Compliance Achieved

How a Fortune 100 Giant Put Secure Guardrails on its AI—Without Slowing It Down

See how a Fortune 100 leader put guardrails on multi-agent AI—enforcing zero-trust data policies, retaining AI reasoning, and meeting GDPR compliance without added latency....
Read the story →
99%
Sensitive Data Detection Accuracy

Revolutionizing AI Security in Financial Services

Discover how a global financial institution enforced zero-trust AI guardrails—masking sensitive data in Arabic-English prompts while preserving 85% semantic accuracy....
Read the story →
13M
Long-form texts processed daily

Helping SaaS Leader Process 13M Texts Daily for AI Training

Learn how a leading SaaS company achieved 90% cost reduction in data masking while protecting sensitive PII/PHI across 13M daily texts to power their AI innovation....
Read the story →
Build vs. buy

The build vs. buy analysis your CTO/CISO needs

Save 18 months and $500K+ by licensing instead of building. Here's what the math actually looks like.

FeaturesProtectoGeneric ToolsDIY Solution
Time to Production
< 1 week
!
3-6 months

6-18 months
PII/PHI Accuracy
99.9%
!
92-95%
!
85-90%
Context Preservation (AI accuracy intact)
Multilingual Support
50+ languages

Not supported
Real-Time RBAC!
Partial
Multi-Tenancy!
Limited
On-Premises Option
Auto-Scaling
Compliance Reporting!
Basic
Context-Based Access Control (CBAC)
Core technology

Key features

Core capabilities that make Protecto the most advanced AI data security platform.

01

Sensitive Data Detection

Automatically detect PII, PHI, and confidential enterprise data across prompts, documents, and AI outputs.

02

Context-Based Access Control

Control who can see what information during AI interactions based on identity, role, and context.

03

Privacy-Preserving Tokenization

Protect sensitive values while preserving semantic meaning so AI models maintain accuracy.

04

Secure RAG & Agent Workflows

Protect data flowing through RAG pipelines, MCP tools, and multi-agent systems.

05

Policy-Driven Governance

Define policies once and enforce them automatically across AI prompts, responses, and workflows.

06

Enterprise Compliance

Built-in support for HIPAA, GDPR, PDPL, and DPDP with full audit trails.

07

Multi-Tenant Security

Securely isolate teams, customers, and environments with independent policies and controls.

08

Flexible Deployment

Run Protecto in SaaS, private VPC, or fully on-prem environments.

09

Full Auditability

Track exactly who saw what, and when — every scan, mask, and unmask event.

Deployment

Integrate anywhere in your AI stack

RESTful APIs · Python SDK · deploy three ways.

mask.py
from protecto import Protecto client = Protecto(api_key="sk_live_***") safe = client.mask( text=record, # any prompt, doc or row policy="hipaa-safe-harbor", ) llm.invoke(safe.masked_text) # accuracy preserved
Realtime, async & bulk APIs · SDKs for Python, Node & Java

SaaS Deployment

5-min setup · Auto-scaling · 99.9% SLA

Hosted on Your Infra

Your VPC · Full control · Custom policies

On-Premises

Air-gapped · White-label · Zero data egress

Works with your stack
Drop-in for the tools you already run
Openai, Chatgpt
Google Gemini Ai
Anthropic Claude
Deepseek
Cohere
Grok By Xai
Langchain
Llamaindex
Semantic Kernel
Haystack By Deepset
Postgresql
Mangodb
Pinecone
Weaviate
& more...

FAQ

Common Questions

Encryption scrambles data with a key — the output is still derived from the original. Tokenization replaces data with an unrelated token with no mathematical link to the source. Protecto uses entropy-based tokens, making reverse-engineering practically impossible.
Most tools do, by replacing sensitive text with generic placeholders that strip context. Protecto preserves semantic structure so LLMs still understand what they’re working with. We measure this with RARI, and customers switching from other tools typically see accuracy parity or better.
The same input always produces the same token within a namespace. So “Sarah J. Mitchell” in your CRM and data warehouse map to the same token — letting you join datasets and run analytics without raw PII in the same place.
Yes. Protecto’s DeepSight lets you extend detection with custom patterns and entity types. Industry-specific add-ons for healthcare and banking are also available.
Most teams are live within a week. One customer handling 13M documents daily deployed in one week, versus months for the in-house alternative they were evaluating.
SOC 2 Type II, ISO 27001, HIPAA (with BAA), GDPR, DPDP, and CPRA. Audit logs cover every scan, mask, and unmask event. On-premises and air-gapped deployment available for regulated industries.

Security & compliance

Certified, audited, and enterprise-ready

Independently verified controls and pre-built policies for the regulations your data is held to — SaaS, on-prem, or air-gapped.

SOC 2 Type II

Audited controls

ISO 27001

Certified ISMS

HIPAA

BAA available

GDPR

EU data ready

DPDP

India · pre-built

CCPA / CPRA

US privacy

AI changed the game.
Context Security is the answer.

Protecto gives you full control over the data layer that powers GenAI — without breaking performance or accuracy.