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EEffata

Platform

One platform for the complete AI governance engineering lifecycle.

Effata connects application intelligence, governance decisions, data-risk controls, vendor policy engineering, implementation planning, testing and documentation — eight modules that carry a decision from raw app risk all the way to proven, documented enforcement.

  1. 01Foundation
  2. 02AI Trust Center
  3. 03AI Governance
  4. 04Control Matrix
  5. 05Policy Blueprint
  6. 06Vendor Workspace
  7. 07Deployment & Testing
  8. 08Deliverables

Every module contributes to one outcome: govern AI applications, and put those decisions into operation. For the same work in the order a team actually moves through it, see How It Works.

Module 01

Foundation

Establish the organisational context every later decision depends on — business units, data risk families, existing security platforms, ownership, and the policy environment already in place.

Produces

  • Organisation and business unit model
  • Data risk family definitions
  • Existing security platform inventory
  • Ownership and approval structure
  • Classification and sensitivity labels

Outcome

Give every governance decision a consistent, organisation-specific frame of reference instead of generic defaults.

foundation — sampleLive

Prepared for Meridian Financial Group

GenAI DLP Posture Score

62/95

Level 3 — Defined
Channel Coverage68%
Enforcement45%
Governance73%
Tool Readiness58%

Module 02

AI Trust Center

Evaluate AI applications using DLP capabilities, enterprise controls, compliance relevance, and available security evidence.

Produces

  • Trust score and risk rating
  • AI category
  • DLP activity coverage
  • Governance recommendation
  • Evaluation evidence

Outcome

Know which applications require approval, conditions, restriction, or prohibition.

ai-trust-center — sampleLive
  • Azure AI Foundry

    AI Analytics

    84/100Medium Risk
  • NotebookLM

    AI Productivity

    74/100Medium Risk
  • Adobe Firefly

    Image Generator

    70/100Medium Risk
  • Adobe Express

    Image Generator

    67/100High Risk
  • Canva AI

    AI Productivity

    66/100High Risk
  • ChatGPT

    General Purpose AI

    65/100High Risk
  • Grammarly Business

    AI Writing

    58/100High Risk
  • Napkin AI

    AI Productivity

    46/100Critical Risk
  • Builder.io

    AI Productivity

    42/100Critical Risk
  • AIApply

    AI Productivity

    29/100Critical Risk
  • Grok

    AI Assistant

    22/100Critical Risk
  • Character.AI

    AI Assistant

    18/100Critical Risk
  • NoteGPT

    AI Productivity

    11/100Critical Risk
  • Chai

    AI Assistant

    9/100Critical Risk
  • Nero AI

    AI Productivity

    4/100Discovery Only
  • Adapta

    AI Assistant

    3/100Discovery Only

Module 03

AI Governance

Classify each application into a governance category — Approved & Supported, Approved with Conditions, Restricted, or Prohibited — and scope that decision to the business units, groups, and application instances it applies to.

Produces

  • Governance category per app
  • Organisational scope and instances
  • Decision rationale and owner
  • Review and approval status
  • AI Application Governance Register

Outcome

Move from a raw app list to a business-approved governance register.

ai-governance — sampleLive

Meridian Financial Group — AI Governance

  • Azure AI Foundry

    AI Analytics

    Medium Risk
  • GitHub Copilot

    AI Code Assistant

    Medium Risk
  • Microsoft Copilot (M365)

    Enterprise AI Assistant

    Medium Risk
  • Articulate

    AI Writing

    Medium Risk
  • Slack AI

    AI Collaboration Assistant

    Medium Risk
  • Synthesia

    AI Video

    Medium Risk
  • Adobe Express

    Image Generator

    High Risk
  • Adobe Firefly

    Image Generator

    Medium Risk
  • Amazon Q

    AI Assistant

    High Risk
  • Arena AI

    AI Assistant

    High Risk
  • Canva AI

    AI Productivity

    High Risk
  • ChatGPT

    General Purpose AI

    High Risk
  • Claude

    General Purpose AI

    High Risk
  • Adapta

    AI Assistant

    Discovery Only
  • AgentGPT

    AI Assistant

    Critical Risk
  • AIApply

    AI Productivity

    Critical Risk
  • Aible

    AI Analytics

    Critical Risk
  • DeepSeek

    AI Assistant

    Critical Risk
  • Devin

    Code Assistant

    Critical Risk
  • ElevenLabs

    AI Communication

    Critical Risk

Module 04

Control Matrix

Map data risk families against governance categories and activities to decide the exact DLP action for every combination.

Produces

  • App access posture by category
  • Data risk actions by category
  • Prompt / upload controls
  • Coaching message assignments

Outcome

Define exactly what should happen when sensitive data meets each AI app category.

control-matrix — sampleLive

Meridian Financial Group — Control Matrix

Risk familyApprovedConditionalRestricted
Credentials & SecretsBlockBlockBlock
Regulated DataCoachCoach + Just.Block
Source CodeCoachBlockBlock
Intellectual PropertyAlertCoachBlock

Module 05

Policy Blueprint

Convert every Control Matrix decision into a vendor-neutral policy blueprint — intent, source and destination logic, and expected action.

Produces

  • Policy intent and grouping
  • Source / destination logic
  • Data profile requirements
  • Expected actions and priority

Outcome

Hold a policy model that survives a change of security vendor, because it describes intent rather than configuration.

policy-blueprint — sampleLive

Meridian Financial Group — Policy Blueprints

  • Block secrets everywhereBlock

    activities: upload · prompt

  • Protect regulated dataCoach

    activities: upload

  • Coach on customer dataCoach

    activities: prompt

  • Alert on source code uploadsAlert

    activities: upload

Module 06

Vendor Workspace

Translate the neutral policy model into implementation-ready recommendations for the security platform you actually run.

Produces

  • Recommended policy stack and order
  • DLP profiles and app tags
  • Required implementation objects
  • Known limitations and validation checks

Outcome

Turn your control matrix into Netskope-ready policies without starting from a blank console.

netskope-policy-pack — sampleLive

Meridian Financial Group — Netskope tenant

  • P100Prohibited GenAI — Access Blockblock
  • P200Secrets & Keys — Global Blockblock
  • P210Scoped — Corp Copilot Tenant (Finance)protect
  • P300Approved & Supported — Content Protectprotect
  • P400Approved w/ Conditions — Content Protectprotect

Module 07

Deployment & Testing

Prepare the implementation sequence and the proof that it worked — every dependency a policy needs before it goes live, and every scenario that must pass afterwards.

Produces

  • DLP profile and object checklist
  • Configuration sequence and prerequisites
  • Must-pass and good-to-verify scenarios
  • Expected vs. actual outcomes
  • Tester, date, and evidence capture

Outcome

Give engineers a practical deployment path and prove every control works before the project is called complete.

deployment-checklist — sampleLive

Meridian Financial Group — deployment tracker

  • Create DLP Profiles43/43
  • Confirm App Objects5/5
  • Verify User Identity3/3
  • Notification Templates8/12
  • Validation Checks2/4
testing-evidence — sampleLive

Meridian Financial Group — Testing Plan

35/35must-pass
8/11recommended

Sample records

  • DLP-001Navigate to a prohibited GenAI app from a test account○ Pending
  • DLP-002Upload a file containing Credentials, Keys & Secrets to any GenAI app✓ Passed
  • DLP-003Paste an API key into an approved AI chat prompt✓ Passed
  • DLP-004Upload a file containing Source Code to Generative AI✓ Passed
  • DLP-005Upload a .pem file to a Restricted GenAI app✓ Passed

Module 08

Deliverables

Turn the same governance workflow into export-ready documents for every stakeholder — engineer, architect, auditor, and leadership.

Produces

  • High & Low Level Design
  • AI Application Governance Register
  • Netskope Policy Pack
  • Evidence Report
  • Executive and posture reports

Outcome

Export the documents your engineers, architects, auditors, and leaders need.

high-level-design — sampleLive
  1. 01Executive Summary
  2. 02Governance Model & App Categories
  3. 03Policy Architecture
  4. 04Coaching & User Experience
  5. 05Risks & Mitigations
  6. 06Rollout Strategy

Reference

The vocabulary the platform runs on.

App risk ratings

Critical RiskHigh RiskMedium RiskLow RiskDiscovery Only

Governance categories

Approved & SupportedApproved with ConditionsRestricted / UnassessedProhibited

DLP actions

AllowMonitorAlertCoachCoach + JustificationBlock

Data risk families

  • 01Credentials, Keys & Secrets
  • 02Regulated Data
  • 03Source Code
  • 04Intellectual Property
  • 05Customer & Employee Data
  • 06Financial & Commercial Data
  • 07Legal & Contractual Data
  • 08Security & Infrastructure Data
  • 09Internal Data
  • 10Public & Low-Risk Data

FAQ

Questions we hear from security teams.

Does Effata replace Netskope?

No. Effata helps design, document, deploy, and validate AI governance controls. Netskope is the first supported vendor policy pack — enforcement stays with the platform you already run.

Does Effata push policies directly into Netskope?

Not today. Effata generates reviewable policy guidance, required objects, deployment checklists, testing plans, and deliverables. Every change to your tenant stays under your control.

Do I need to provide production data?

No. Effata can work with governance inputs, app categories, risk families, and sanitized implementation context.

What vendors are supported?

Netskope is available now. Additional DLP, CASB and SSE platforms are planned and will be introduced through vendor-specific implementation packs.

Who is Effata for?

Security leaders, security architects, DLP and CASB engineers, AI governance and risk teams, and the consultants and service providers who deliver these programmes.

Walk the platform yourself.

Explore a preconfigured workspace in read-only mode — from AI Trust Center to evidence report. No sales call required.