Data Access Governance Platform

Launching soon

Know Who or What Can Access Your Data.

Data Access Governance with Zero Trust Enforcement

DAGZEN gives enterprises visibility and control over every data access path — across humans, applications, workloads, and AI agents — while enforcing policy at the point of access.

Request a DemoSee How It Works
Access overviewLive

Access path

  1. HumanAlice
  2. delegates to
    AI AgentFinance Agent
  3. invokes
    MCP ToolCustomer Tool
  4. accesses
    ApplicationFinance Service

    Zero Trust Enforcement

    1. Verify
    2. Evaluate
    3. Authorize
    4. Enforce
  5. connects
    DatabaseCustomer Database
  6. contains
    Sensitive Datacustomer.ssn

Access decision

READ

customer.ssn

ALLOWED

Policy
Finance-PII-Read
Policy Version
42
Principal
Finance Agent
Delegated By
Alice
Purpose
Financial Analysis
Access Channel
MCP

Governance, right now

2,604
Identities governed
1.2M
Access decisions / 24h
247
Data stores governed
8,412
Sensitive columns

Decisions · last 24h

  • Allowed1,184,203
  • Denied61,427
  • Requires review12,884

Example data — figures shown for illustration

Overview

Every Data Access Request Must Earn Trust.

Traditional access models begin with an identity and a permission. DAGZEN extends that model by evaluating the complete data access context — who is requesting access, what is being accessed, how the request reached the data, why access is needed, and whether policy allows it.

  1. WHOHuman / Application / Workload / AI Agent
  2. HOWApplication / API / Tool / MCP / Delegation
  3. WHEREDatabase / Object / Warehouse / Lake / Dataset
  4. WHATSensitive Data / PII / Financial / Customer Data
  5. WHYPurpose / Context / Task
  6. POLICYIdentity + Attributes + Relationships + Context
  7. ZERO TRUST ENFORCEMENTVerify · Evaluate · Authorize · Enforce
  8. DECISIONAllow / Deny / Review
  9. PROOFAudit · Analytics · Governance Coverage

Insights

The Answers, Not Just the Data.

Identity & access answers who can reach the data and whether that is still justified. Data security posture answers what the data is and how exposed it is. Two sets of answers over one estate — not two products to reconcile.

Identity & access overviewExample data

Identities governed

2,604

humans, apps, workloads, agents

Access decisions / 24h

1.2M

median 0.4 ms at the access point

Policies in force

1,840

bundle version 412

Privileged identities

94

3.6% of all principals

Access decisions · last 24h

Allowed
1,184,203
Denied
61,427
Requires review
12,884

Principals under governance

1,284Humans
312Applications
940Workloads
68AI agents

Dormancy & unused access

the cheapest privilege to remove
  • Dormant identitiesno access in 90 days213 / 2,604
  • Unused entitlementsgranted, never exercised1,487 / 9,240
  • Stale credentialspast rotation window38 / 612
  • Over-provisionedreach exceeds actual use176 / 2,604

Access reviews in flight

  • Q3 privileged access reviewSecurity · due in 6 days78%
  • Finance data entitlementsData governance · due in 12 days41%
  • Agent purpose bindingsPlatform · due in 2 days92%

Findings requiring review

  • CriticalOut-of-band grant on crm-prod-01ops_break_glass holds DELETE on customer.ssn — declared by no policy.
  • HighOver-provisioned service identitysvc-reporting can read 14 restricted columns it has never queried.
  • HighAgent access without purpose binding3 agents reached PII without a declared purpose in the last 7 days.
  • MediumDelegation chain depth 4analytics-agent → tool → app → workload → warehouse.

Example data — figures shown for illustration

The gap

A Permission Is Three Nodes. A Real Access Path Is Eleven.

Every permissions list and entitlement report answers the same three questions: who, what allowed, what resource. Everything that gets an enterprise into trouble happens in the eight steps in between.

What a permission recordsIdentityPermissionResource
What actually happens3 visible to a permissions list8 it cannot show you
  1. 01Principal

    Who is asking

    ≙ Identity

  2. 02Relationship

    Groups, roles, nested membership

  3. 03Application

    What they are asking through

  4. 04Workload

    Batch job, service, pipeline

  5. 05Agent / Tool

    Delegated, purpose-bound

  6. 06Access path

    Direct, inherited, transitive

  7. 07Policy

    What is allowed

    ≙ Permission

  8. 08Data resource

    Store, table, column

    ≙ Resource

  9. 09Effective access

    What they can really reach

  10. 10Observed activity

    What they actually did

  11. 11Zero Trust decision

    Allow, deny, review

A single real request

AliceFinance AnalystsFinance AgentMCP toolFinance Servicecrm-prod-01customer.ssn

A permissions list shows you the first box and the last. DAGZEN governs every step between them — and tells you when a step exists that no policy ever declared.

The lifecycle

Every Database, Governed From the Moment It Exists.

From the instant a database is created, through onboarding and classification, to every access decision and the insights your team reviews — one continuous lifecycle, not a set of disconnected tools.

01Create

A database comes into existence

Someone provisions a Postgres instance, restores a backup into staging, or spins up a warehouse. It holds real data from the first minute.

  • Any cloud
  • Any engine
  • Including the ones nobody filed a ticket for

Where this sits

Zero Trust Enforcement

Zero Trust Enforcement at the Data Access Point

DAGZEN does not assume an authenticated identity should automatically be trusted. Every governed data access request is evaluated against the applicable policy and context before access is allowed.

Never trust automatically

Authentication is not authorization. Being signed in is the start of the question, not the answer.

Verify every access

Each governed request is evaluated against the policy that applies to it, every time.

Least privilege

Grant only the access the task requires, for only as long as it requires it.

Context-aware

Identity, application, workload, agent, purpose, resource and classification all inform the decision.

Enforce locally

Decisions are made next to the application and the data, not across a network hop.

Continuous visibility

Record and analyse access as it actually happens, not only as it was intended.

Capabilities

One Governance Layer for Every Data Access Path

The same model covers a person querying a table, a nightly pipeline, a service account behind a connection pool, and an agent calling a tool over MCP.

Data Discovery

Finds the data estate as it actually is, including the stores nobody registered.

  • Databases
  • NoSQL stores
  • Object storage
  • Data warehouses
  • Data lakes
  • Lakehouses
  • Analytics platforms
  • Data APIs

Six ways access arrives

Only the first is visible in a permissions list. The rest are why declared access and effective access disagree.

Direct
The principal holds the grant on the resource itself.
Indirect
Access arrives through an application or a workload in between.
Delegated
One principal acts on behalf of another, with scope that may only narrow.
Inherited
Access comes from a group, a role or a nested membership.
Transitive
A chain of relationships leads to the data, several hops away.
Observed
The engine reports access the platform never declared.

Access graph

Everything That Can Reach One Column.

Pick a data asset and DAGZEN shows every route to it — inherited through groups, delegated to an agent, granted directly, or sitting in the engine with no policy behind it at all.

customer.ssncrm-prod-01 · crm.public.customersRestricted · PII4 routes reach it

Observed access

Ungoverned
Effective access
SELECT INSERT UPDATE DELETE TRUNCATE
Declared by
no policy
Superuser
yes
Found by
Reading the engine's own grants
Finding
Out-of-band grant — no review covered it

A permissions list shows one of these four routes. An entitlement report shows three. The fourth is only found by reading the engine’s own grants and comparing them against policy.

AI agents

AI Agents Are Part of the Data Access Path

DAGZEN extends Data Access Governance to AI agents, delegated access, tools, MCP, applications and agent-to-data paths. An agent is another kind of principal in the same model — not a separate product.

Delegation chain

  1. Human
  2. delegates
    AI Agent
  3. invokes
    Tool / MCP
  4. accesses
    Application
  5. connects
    Data

What every agent access carries

If the originating principal is unknown, that is recorded as a gap — never left blank.

  • Agent identity
  • Delegated by
  • Purpose
  • Task
  • Tool
  • Application
  • Workload
  • Data resource
  • Action
  • Policy
  • Decision

Understand the agent’s effective data access — not just its direct permissions.

Policy

Policies That Understand Identity, Relationships, and Context

A rule is written once, in the terms the business already uses, and carries everything the decision depends on — including how the request got there.

When

Principal
Finance Agent
Delegated by
Finance User
Resource
Customer PII
Action
READ
Purpose
Financial Analysis
Access channel
MCP
Relationship
Agent → Tool → Application → Database

Then

ALLOW

What the decision draws on

  • Identity
  • Attributes
  • Relationships
  • Roles
  • Delegation
  • Context
  • Data classification
  • Purpose
  • Access path

ABAC + ReBAC + Identity / Role context

DAGZEN is not limited to a single authorization model. Attributes, relationships and role context are evaluated together, because real access questions need all three.

Data estate

Govern Data Access Across Your Data Estate.

One policy model across every cloud and the racks you still run yourself. 77+ store types, each governed by the same rules — because an estate split across four providers is exactly where per-platform tooling stops being able to answer anything.

AWSGoverned19 store types

Relational

  • RDS for PostgreSQL
  • RDS for MySQL
  • RDS for Oracle
  • RDS for SQL Server
  • Aurora PostgreSQL
  • Aurora MySQL

NoSQL

  • DynamoDB
  • DocumentDB
  • Neptune
  • Keyspaces
  • MemoryDB

Analytics

  • Redshift
  • Athena
  • EMR
  • OpenSearch
  • Glue Catalog

Object storage

  • S3
  • S3 Glacier
  • EFS

Security design

Built Around Zero Trust Principles

The properties the platform is designed to hold. These are engineering principles, not certifications — DAGZEN makes no compliance or certification claims.

  • Verify explicitly
  • Least privilege
  • Assume breach
  • Context-aware authorization
  • Local enforcement
  • Policy versioning
  • Signed policy distribution
  • Tenant isolation
  • Auditability
  • Defense in depth

Launching soon · early access open

See Who Can Reach Your Data — Today.

DAGZEN governs every path to enterprise data, for humans, applications, workloads and AI agents, with Zero Trust Enforcement at the point of access. Book a walkthrough against your own estate.

Talk to Sales

Request a Demo

Tell us about your estate and we will walk you through DAGZEN against it.