EEffata

Sample Output

This is what Effata hands you.

Illustrative previews of each lifecycle output for one sample organization, Meridian Financial Group — the structure and vocabulary match what the product generates, with sample data throughout.

Illustrative sample data — not a real customerClick any preview to expand it

01

AI Trust Center

A live trust center for evaluated AI applications — trust score, risk rating, DLP activities, and recommended governance classification for each app.

Primary audience
Security & GenAI governance teams
Format
Web app
ai-trust-center — sampleLive⤢ Expand
GenAI ControlsAI Trust Center
Meridian Financial Group

AI Trust Center

Your organization's AI intelligence hub - continuously evaluating applications, measuring trust, recommending governance decisions, and maintaining the trusted foundation for secure AI adoption.

179 applications catalogued · 176 fully evaluated · 3 awaiting evaluation

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  • Adapta

    Adapta · AI Chatbots

    Discovery Only

    Trust Score

    3/100

    DLP Activities

    0/7

    Classification: Prohibited

  • ChatGPT

    OpenAI · General Purpose AI

    High Risk

    Trust Score

    65/100

    DLP Activities

    6/7

    Classification: Restricted / Unassessed

  • NotebookLM

    Google · AI Productivity

    Medium Risk

    Trust Score

    74/100

    DLP Activities

    6/7

    Classification: Restricted / Unassessed

  • Grok

    xAI · AI Assistant

    Critical Risk

    Trust Score

    22/100

    DLP Activities

    3/7

    Classification: Prohibited

  • Slack AI

    Salesforce · AI Collaboration Assistant

    Medium Risk

    Trust Score

    78/100

    DLP Activities

    7/7

    Classification: Restricted / Unassessed

  • Builder.io

    Builder.io · AI Productivity

    Critical Risk

    Trust Score

    42/100

    DLP Activities

    5/7

    Classification: Prohibited

02

AI Governance

Your GenAI apps grouped into governance categories, with in-scope status and the rationale behind each classification.

Primary audience
Governance and security
Format
XLSX
app-governance — sampleLive⤢ Expand

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

03

Control Matrix

Risk families against governance categories — each cell an explicit DLP action your team chose, from Allow to Block.

Primary audience
Governance and security
Format
XLSX/PDF
control-matrix — sampleLive⤢ Expand

Meridian Financial Group — Control Matrix

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

04

Policy Blueprints

A vendor-neutral translation of your matrix: policy intent, grouping, source/destination logic, data profiles, activities, and expected actions.

Primary audience
DLP architect / engineer
Format
PDF
policy-blueprint — sampleLive⤢ Expand

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

05

Netskope Policy Pack

The recommended Netskope policy set in evaluation order — access blocks, global secrets protection, per-tier content controls, and a fallback for the unassessed long tail.

Primary audience
DLP engineer
Format
DOCX/PDF
netskope-policy-pack — sampleLive⤢ Expand

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

06

Deployment Checklist

Every step to stand the pack up correctly — DLP profiles, app objects, notification templates, identity, and validation — tracked to completion.

Primary audience
DLP engineer
Format
XLSX/PDF
deployment-checklist — sampleLive⤢ Expand

Meridian Financial Group — deployment tracker

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

07

Testing Plan

Test scenarios mapped to each policy, split into must-pass and good-to-verify, with expected outcomes ready to record against.

Primary audience
Tester / project team
Format
XLSX
testing-plan — sampleLive⤢ Expand

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

08

Evidence Report

Captured results per test — expected vs actual, pass/fail, tester, and date — the proof security leaders and auditors ask for.

Primary audience
Auditor / security leader
Format
PDF
evidence-report — sampleLive⤢ Expand

Meridian Financial Group — GenAI DLP Evidence Report

35/35must-pass
8/11recommended
  • DLP-001Prohibited GenAI app accessPassed
  • DLP-002Credentials upload blockedPassed
  • DLP-003Source code upload blockedPassed
  • DLP-004Regulated data upload blockedPassed

09

HLD / LLD

Design documents your reviewers recognize: a high-level design for stakeholders and a low-level build sheet for the engineer configuring the tenant.

Primary audience
Architect / DLP engineer
Format
PDF
hld-lld-summary — sampleLive⤢ Expand

HLD — Meridian Financial Group

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

LLD — Meridian Financial Group

  1. 01Policy Build Sheet
  2. 02Policy Order & Evaluation
  3. 03DLP Profile Mapping
  4. 04Required Objects
  5. 05Deployment Ledger
  6. 06Validation Test Plan

10

Leadership Presentation

A leadership-ready summary — posture score, top gaps, and the roadmap — built from the same workflow, no separate deck to assemble.

Primary audience
Leadership
Format
PPTX
ciso-presentation — sampleLive⤢ Expand

Prepared for Meridian Financial Group

GenAI DLP Posture Score

62/95

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

Metadata

Every output, at a glance.

OutputPrimary audienceFormat
AI Trust CenterSecurity & GenAI governance teamsWeb app
AI GovernanceGovernance and securityXLSX
Control MatrixGovernance and securityXLSX/PDF
Policy BlueprintsDLP architect / engineerPDF
Netskope Policy PackDLP engineerDOCX/PDF
Deployment ChecklistDLP engineerXLSX/PDF
Testing PlanTester / project teamXLSX
Evidence ReportAuditor / security leaderPDF
HLD / LLDArchitect / DLP engineerPDF
Leadership PresentationLeadershipPPTX

Take it with you

Get the full sample pack as a PDF.

The Control Matrix, Netskope Policy Pack, Testing Plan, Evidence Report, and Leadership Presentation for Meridian Financial Group, bundled into one document — illustrative sample data, structured exactly like what Effata generates for your own environment.

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Customers receive every output above, built from their own governance decisions.