Turn AI governance decisions into deployment-ready security controls.
Effata helps security teams assess AI applications, define governance decisions, engineer vendor-ready DLP policies, prepare deployment plans, validate implementation and generate audit-supporting documentation — all through one guided workflow.
Built for CISOs, security architects, DLP teams and AI governance leaders.
AI Trust Center
Your organisation'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
- Discovery Only
Adapta
Adapta · AI Chatbots
Trust Score
3/100
DLP Activities
0/7
Classification: Prohibited
- High Risk
ChatGPT
OpenAI · General Purpose AI
Trust Score
65/100
DLP Activities
6/7
Classification: Restricted / Unassessed
- Medium Risk
NotebookLM
Google · AI Productivity
Trust Score
74/100
DLP Activities
6/7
Classification: Restricted / Unassessed
- Critical Risk
Grok
xAI · AI Assistant
Trust Score
22/100
DLP Activities
3/7
Classification: Prohibited
- Medium Risk
Slack AI
Salesforce · AI Collaboration Assistant
Trust Score
78/100
DLP Activities
7/7
Classification: Restricted / Unassessed
- Critical Risk
Builder.io
Builder.io · AI Productivity
Trust Score
42/100
DLP Activities
5/7
Classification: Prohibited
The problem
AI governance often stops before the real work begins.
Your organisation may have an AI policy, an application inventory and a governance committee. But security teams are still expected to manually answer the difficult implementation questions.
- Which AI applications should be approved, restricted or prohibited?
- What data can be shared with each category?
- Which controls should alert, coach, justify or block?
- How should those decisions be implemented in Netskope or another security platform?
- What objects, dependencies and policy order are required?
- How will the implementation be tested and evidenced?
- What documentation will architecture, risk and audit teams expect?
Governance is not complete until the controls can be implemented, validated and maintained.
The transformation
Complete the work that follows the governance decision.
Effata connects assessment, governance, control design, policy engineering, deployment and validation into one governed engineering lifecycle.
- AI applications assessed in spreadsheets
- Governance decisions spread across documents
- DLP controls designed manually, case by case
- Vendor configuration dependent on specialist knowledge
- HLDs, LLDs and test plans written from scratch
- Evidence gathered across disconnected tools
- Every new application becomes another mini-consulting project
- One governed AI application register
- Consistent application categorisation
- Risk-based control decisions
- Consultant-grade policy architecture
- Vendor-specific implementation guidance
- Structured deployment and testing plans
- Continuous governance as applications and requirements change
Move from fragmented project work to a repeatable governance engineering capability.
How it works
From AI discovery to validated controls.
Seven steps that carry a decision from raw application risk to proven, documented enforcement — and back around as your AI estate changes.
01
Assess
Understand the applications entering your organisation
Outcome
A consistent foundation for application decisions.
02
Govern
Decide how each AI application should be used
Outcome
An approved AI application governance register.
03
Design
Define the controls that apply to each risk
Outcome
A defensible, risk-based control model.
04
Engineer
Convert governance into vendor-ready policy architecture
Outcome
A deployment-ready vendor policy pack.
05
Deploy
Give engineers a structured implementation plan
Outcome
A practical implementation guide for the security engineering team.
06
Validate
Prove that the controls work as intended
Outcome
Structured test results and implementation evidence.
07
Operate
Maintain governance as AI usage changes
Outcome
Continuous AI governance rather than a one-time project.
Deliverables
Every project produces implementation-ready deliverables.
Effata does not stop at recommendations. It produces the technical, governance and validation artifacts required to move the initiative forward.
Where Effata fits
More than AI discovery. More than policy documentation.
Effata combines the repeatability of software with the structured outcomes of a specialist consulting engagement.
| Capability | AI inventory tools | Traditional consulting project | Effata |
|---|---|---|---|
| AI application visibility | Yes | Sometimes | Yes |
| Application risk assessment | Yes | Yes | Yes |
| Governance categorisation | Sometimes | Yes | Yes |
| Risk-based control design | Limited | Yes | Yes |
| Vendor-specific policy architecture | Rarely | Yes | Yes |
| Required implementation objects | Not covered | Yes | Yes |
| Deployment checklist | Not covered | Yes | Yes |
| Structured testing plan | Not covered | Yes | Yes |
| Evidence reporting | Limited | Yes | Yes |
| Repeatable after the initial project | Yes | New effort | Yes |
| Continuously reusable | Yes | Limited | Yes |
Effata reduces the repetitive analysis, policy engineering and documentation work that consumes specialist consulting and internal engineering time.
Vendor support
Built for real-world security implementation.
Effata converts vendor-neutral AI governance and control decisions into implementation-ready recommendations for Netskope today.
Available now
Netskope
- Prohibited AI application controls
- Critical-data and secrets protection
- Approved application policies
- Conditionally approved application controls
- Restricted and unassessed application fallbacks
- Application-instance controls
- Group-based entitlements
- DLP profiles and notification requirements
- Policy ordering and dependency plans
- Testing and acceptance criteria
Effata produces reviewable policy guidance and required objects. It does not push configuration into your tenant.
Planned — not available today
Additional platforms
- Microsoft Purview
- Symantec DLP
- Forcepoint
- Additional DLP, CASB and SSE platforms
Introduced through vendor-specific implementation packs. No delivery date is committed here.
Who it's for
Designed for teams responsible for making AI governance real.
Security Leaders
Visibility into AI governance posture, implementation readiness, open risks and the decisions still waiting on someone.
Security Architects
Defensible control architectures with documented assumptions, dependencies, alternatives and limitations.
DLP and CASB Engineers
Governance decisions translated into policy structures, DLP profiles, configuration objects and testable controls.
AI Governance and Risk Teams
Application decisions, organisational scope, data-handling rules and evidence maintained across the governance lifecycle.
Consultants and Service Providers
Standardised delivery, less repetitive documentation, and consistent customer-facing artifacts across engagements.
Effata is best suited to organisations that
- Have an active GenAI adoption or governance initiative
- Operate a mature DLP, CASB or SSE programme
- Need to translate governance into technical controls
- Work in regulated or data-sensitive industries
- Want a repeatable internal capability rather than isolated project work
Plans
Build a continuous governance capability — not another one-time project.
Plans are structured around the maturity and complexity of your AI governance programme, and are designed to produce actionable outcomes rather than feature access.
AI Governance Foundation
Starter
Everything needed to assess applications, define governance decisions and create a vendor-neutral AI control foundation.
AI Governance Engineering
Professional
Everything required to move from governance decisions to vendor-ready policies, deployment planning, testing evidence and technical documentation.
Enterprise Governance Platform
Enterprise
A scalable governance engineering capability with advanced organisational scope, integrations, controls and enterprise support.
FAQ
Questions we hear often.
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.
Can I trust the Netskope configuration steps Effata generates?
Configuration steps come from a structured, version-controlled implementation database — never generated freeform by AI. Claude is used only to explain and contextualise; when it's uncertain, it says so explicitly rather than guessing.
Is this a one-time project or something we use continuously?
Both. Most teams start with an initial engagement — assessment through deployment — then keep using Effata as apps, regulations, and the Netskope tenant change, so policies, evidence, and documentation stay current instead of going stale after the first rollout.
How long before we have usable policies, not just a report?
Governance decisions and a prioritised policy set are typically ready within the first working sessions. Deployment checklists, testing plans, and evidence reporting follow in the same engagement — you're not waiting on a separate phase to get something you can act on.
How do you keep GDPR and HIPAA mappings accurate?
Regulation mappings, article references, and fine exposure figures come from a maintained compliance database, not from AI generation. The database updates independently as guidance changes — accuracy is a data problem, not a chatbot problem.
How is our data isolated from other customers?
Every table in the platform is scoped to your organisation from day one and enforced with row-level security at the database layer, not just filtered in application code. Nothing you upload or generate is visible across organisations.
Do we need to hire a dedicated engineer to run this?
No. Effata is built for the DLP, CASB, or security architect you already have — it structures the decisions and generates the artifacts an experienced practitioner would otherwise build by hand. It doesn't require a new full-time role.
How does this compare to hiring a DLP consultant?
A consultant produces a point-in-time deliverable. Effata produces the same class of artifact — governance decisions, policy architecture, deployment plans, test evidence — as a repeatable output you can regenerate as your environment changes, without re-commissioning a new engagement each time.
Your AI governance programme should produce more than recommendations.
Turn application assessments, governance decisions and data-protection requirements into policies your engineers can implement, tests your teams can execute and documentation your stakeholders can review — explored through a guided, read-only review environment.