Why ANYVA

What makes ANYVA structurally different

No functional comparison – a different architectural approach. ANYVA unites GRC disciplines on a common data model rather than managing them side-by-side.

10 structural features

What ANYVA does differently

These features concern the underlying architecture – and thus the way effort is generated or avoided.

01

Process-oriented architecture

Classic tools manage documents. Relationships between processes, risks, and measures are created manually – or not at all.

ANYVA models real business processes as a starting point. VVT, risks, TOMs and DSFA arise directly from this – connected, not isolated.

02

DSMS + ISMS on a data model

Data protection and information security are mostly managed in separate systems. This creates duplicate work and inconsistent assessments.

ANYVA uses a common data model for DSMS and ISMS. Processes, risks, and measures apply to both areas simultaneously.

03

Shared TOMs

Technical and organisational measures are maintained separately for data protection and ISMS – leading to contradictions and redundancies.

In ANYVA, a TOM is created once and acts simultaneously in DSMS and ISMS. No duplicate maintenance effort, no inconsistencies.

04

DSFA with real structure

Data protection impact assessments are often created as text documents – without any connection to existing risk assessments or organisational and technical measures.

ANYVA generates the DSFA directly from process and risk data. The result is reproducible, fully documented, and auditable.

05

Structured Requirements Modules

Complex legal obligations from GDPR, NIS-2, or ISO 27001 are difficult to translate into operational measures.

ANYVA translates requirements into testable, understandable modules – with assignments to processes, responsible parties, and evidence.

06

Vulnerabilities in the GRC context

CVEs are managed in isolation within scanner tools. The impact on data privacy risks and compliance requirements remains invisible.

CVEs are directly linked to affected assets, processes, and GDPR risks within ANYVA. The compliance link arises automatically.

07

PDCA as a true working logic

PDCA cycles often stall at status fields. Whether measures are effective is not systematically checked or documented.

ANYVA covers the complete PDCA cycle – with documented effectiveness checks, deviation analyses, and traceable improvements.

08

Auditable documentation

Shortly before audits, evidence is compiled manually. What's missing is often only noticed by the auditor.

ANYVA generates a complete audit trail in live operation – with a timestamp and justification for every decision. Accessible at any time.

09

Low barrier to entry

GRC systems often require months of implementation projects before their first practical added value can be realised.

ANYVA provides pre-built process frameworks, requirement modules and TOM catalogues. Organisations can start working in a structured way immediately.

10

For consultants and businesses

GRC systems are either designed for large enterprises and are over-engineered or too simplistic for complex requirements.

ANYVA is multi-client capable and scalable: equally suitable for advisory firms with multiple clients as for internal compliance teams.

Process Architecture

How ANYVA models interdependencies

The 10 structural features are not isolated functions – they arise from a common process model that connects all areas.

Files
Business processes
Basis for all compliance activities
Scales
Requirements
GDPR, ISO 27001, NIS-2 structured assignment
⚠️
Risks & Vulnerabilities
Act directly on affected processes
Shield
TOMs & Measures
Implement once – effective for DSMS and ISMS
📋
Evidence & Audit
Verifiable context instead of isolated documents

PDCA as a true working logic

Planned. Executed. Tested. Improved.

ANYVA does not map the PDCA cycle as status fields, but as a traceable audit and improvement logic – with documented results at each step.

Plan — Plan
Strategically plan risks and measures
  • Identifying risks from processes and vulnerabilities
  • Map requirements (GDPR, ISO 27001, NIS-2)
  • Derive and prioritise measures and technical operational measures
Umsetzen
Implement and document measures
  • Setting up TOMs – effective for both DSMS and ISMS simultaneously
  • Track implementation status with responsibilities.
  • Update processes and technical services
Check
Check effectiveness and identify deviations
  • Effectiveness tests with documented results
  • Evaluate deviations and open points
  • Provide audit trail for internal and external audits
Act — Improve
Derive improvements and restart cycle
  • Adjust measures based on audit results
  • Incorporate new risks and requirements
  • Continuous improvement process demonstrably documented
Head-to-head comparison

Conventional Tools vs. ANYVA

Traditional GRC tools
ANYVA
DSMS and ISMS in separate systems
A common data model for both
Maintain TOMs for each discipline separately
Toms – set up once, effective everywhere
DSFA without connection to risks and processes
DSFA directly from process and risk data
Vulnerabilities without data protection relevance
CVEs have a Rückwirkung on data protection risks
Measures without effectiveness testing
PDCA control with documented effectiveness
Audits require manual document compilation
Automatic audit trail on demand
Who is it relevant for?

What ANYVA means for different roles

👤
Data protection officer

Less duplication of effort between GDPR documentation and ISMS. Verifiable evidence without manual compilation.

🔐
Data Protection Officer

ISMS and DSMS on a data model. Asset changes and vulnerabilities immediately visible in the GRC context.

🏢
Managing Director & Compliance

Comprehensive overview of risks and open actions. Resilient basis for audits and authority requests.

📊
Data Protection & ISMS Consultant

Multi-tenant and scalable. A platform for multiple clients with clearly separated data areas.

Methodological difference

AI as a second professional examination level – not as a generic assistant

Many tools offer an AI chatbot. ANYVA takes a different approach: AI is integrated into the professional structure and can therefore provide context-related support.

Generalist AI Assistant
General answers without system context
No connection to own processes or risks
No validation of specific valuations
Suggestions not documentable in the system
No match with TOMs, requirements, PDCA
⚠ Useful as a research aid – but not professionally integrated
ANYVA KI-Support
Plausibility of specific risk assessments
RAG support based on internal structure
Consistency Check: Evaluation vs. Justification
AI suggestions that can be documented and traced
Integrated into processes, TOMs, requirements
✓ Professional responsibility remains with the user

Look at it in concrete terms

In a demo, we'll show you how these structures can be implemented within your organisation.