CBAC for AI

Context-Based Access Control for AI

Ingest unstructured data for AI and enforce the right access at runtime.

Enterprises want to use AI without exposing sensitive data. That requires two things: unstructured data structured the right way for AI, and access enforced for each user, agent, and task. Protecto CBAC does both.

Context-Based Access Control-Selection
Trusted by regulated enterprises & agentic platforms
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Automation Anywhere
Cbac
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Cbac

The Problem

AI needs more than ETL and access control.

User access is not task access. Old ETL tools were built to move data into fixed tables and schemas. Old access control was built for files, folders, apps, and databases.

AI works differently — it reads raw content, pulls from mixed data, and answers in real time. It needs a layer that structures data for AI and enforces the right access at runtime.

The Reality

Enterprise does not stay in neat categories.

A single document can mix medical notes, billing details, legal text, fraud signals, and internal comments — often in the same paragraph.

Old systems classify the whole document and block it. Block too much and AI loses context. Allow too much and sensitive data leaks into prompts, retrieval, and agent actions.

What CBAC Does

Two jobs. One layer built for AI.

01

Structures unstructured data for AI

It understands the content, reads enterprise policies on what is sensitive, segments it the right way, and keeps it useful for retrieval.

AI-powered detection
02

Enforces the right access at runtime

It checks who is asking, what they are asking, and what policy should apply — returning only the chunks that role, task, and context should see.

Accuracy-preserving

The same source document can be used in different ways for different roles, without losing control or stripping away too much context.

One document · multiple views

Same account note. Four different, policy-safe views.

AI agents call tools, chain actions, and pull data across systems. Once data enters a prompt or payload, your existing access controls lose visibility. The data is already exposed, and nothing is watching it. CBAC enforces at the moment the agent asks: who’s asking, for what task, and what they’re allowed to see. Static roles can’t anticipate this. User access is not task access.

Example: the same account note read by three agents and one tool call, no schema, no fixed fields.

Who is reading this note? (click a tab to switch)
Raw note before any policy runs. Every entity is visible.
→ This is what enters the model before CBAC evaluates the request.
Account activity note

Every access decision is logged, who, what, when, why.

The Architecture

Control when data enters — and again when the system answers.

Without CBAC Simple — but leaves data exposed during user interactions
Raw Docs Embed Retrieve Generate
With CBAC Context-aware control at ingestion and at runtime
Raw Docs Intelligent Structuring (CBAC) Embed Retrieve Runtime Enforcement (CBAC) Generate
At ingestion

Understand, segment, and mask — without rigid schemas.

CBAC reads the document, understands the content, segments it the right way, and masks sensitive values where needed. It creates structure that AI can use without forcing everything into fixed tables.

At runtime

Check the user, role, task, and policy on every query.

CBAC enforces at the moment the agent asks: who's asking, for what task, and what they're allowed to see. You define policies in Protecto once and edit them as you need. You bind the policy to users and applications in your own AD or access control system. Protecto enforces them at execution time through an authorization key on every API call.

HOW WE COMPARE

See why leading enterprises choose Protecto.

Metadata and source-path controls were built for files and folders. CBAC was built for the way AI actually reads, retrieves, and generates.

FeatureProtecto CBACMetadata / source path controls
Works on Content inside documents! File location, source, metadata, partial internal content
Granularity Section or sentence level Document level
Understands meaning Yes! Limited — mostly classification
Runtime enforcement Yes! Limited
AI usefulness Keeps more usable context Often hides too much

Real-World Use Cases

Built for the document patterns enterprises actually have.

Insurance

An adjuster asks about treatment history and gets answers from hundreds of pages of mixed-format documents. CBAC ensures PHI, fraud signals, and financials are filtered by role — not blocked wholesale.

Healthcare

Protect PHI in clinical transcripts while keeping enough clinical context for diagnostic accuracy. CBAC masks identifiers but preserves the surrounding medical detail AI needs.

Financial Services

Block account details, salaries, or contract values from unauthorized roles while still enabling AI-driven analytics. Same document, different financial views per team.

Enterprise Multi-Agent Systems

Apply tenant- or team-specific rules across agent-to-agent and MCP-driven workflows. CBAC enforces policy at every handoff between agents.

Security & compliance

Certified, audited, and enterprise-ready

Independently verified controls and ready-to-use policies for the regulations your data must meet, whether deployed as SaaS, on-premises, or in an air-gapped environment.

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

From Experiments to Production

AI unlocks enterprise data. CBAC keeps it safe.

Without the right control layer, the same power that makes AI useful becomes a risk. CBAC structures data for AI, applies enterprise policy, and enforces access in context — so teams can move faster without the leak.