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Build a governed, AI-ready CMDB that regulators and AI can trust

A regulated-industry CMDB governance solution for financial services — engineered for DORA, NIS2, and the EU AI Act, with AI capabilities built into the foundation.
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Regulation and AI are colliding on the same data foundation

Financial institutions are being pulled in two directions at once.
AI is accelerating across every service management practice. DORA and the EU AI Act are raising the bar on governance, auditability, and explainability. Both land on the same place: the CMDB underneath it all.
CMDB Policy is Adaptavist's regulated-industry CMDB governance solution, built on Atlassian Assets. It addresses the challenges most FSI service management teams are running into:
  • CMDB drift and stale CI data — discovery and manual updates can't keep pace with the estate
  • Ungoverned configuration data fails DORA evidence requirements for ICT risk, incident reporting, and third-party oversight
  • AI decisions with no traceability — change risk scores, incident correlation, and agentic workflows built on data you can't defend under the EU AI Act
  • Manual CI onboarding that takes weeks per application and leaves relationships incomplete
  • Static materiality that doesn't re-evaluate when dependencies change — hidden Critical-to-Low exposures

Why is CMDB policy crucial for financial institutions

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Regulatory evidence by design

Governed CI classes, ownership, attribute flows, and automated recertification — your CMDB becomes the evidence base for DORA, NIS2, and the EU AI Act.
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AI-powered where it pays back

Embedded AI capabilities for CI onboarding, risk assessment, and AIOps — every decision explainable, human-validated, and traceable to source.
org chart

Operational trust at scale

Continuous discovery across the full hybrid estate — with a dependency graph your incident, change, and problem practices can rely on.

Solution Highlights

  • Regulated-industry schema: CI classes, relationships, and attribute flows designed for FSI governance — materiality, PCI scope, app ownership, recertification status, compliance posture
  • Automated recertification & ad hoc updates: Governed workflows that keep CI data current without manual upkeep, with audit trails on every change
  • Dependency-aware governance: Cascading materiality and impact logic — a change to one CI surfaces risk across every system that depends on it
  • Continuous discovery: Full hybrid estate coverage via Atlassian Assets Data Manager
  • AI-ready by design: Every attribute, relationship, and ownership record structured to be consumed by AI triage, AIOps, change risk scoring, and agentic workflows — with explainability preserved end-to-end
  • Built for the regulatory countdown: DORA Register of Information, incident classification evidence, third-party risk mapping, and EU AI Act explainability — supported as a by-product of how the CMDB operates

AI capabilities built into the foundation

CMDB Policy embeds AI where it pays back the fastest — without compromising governance.
Infrastructure Design Documents ingested automatically.
AI parses hosts, databases, VLANs, firewall rules, certificates, load balancers — and infers relationships.
Pre-populated CI work items generated for governance review and approval.
→ Multi-week manual process becomes a governed, auditable pipeline.
Person looking at robot
AI reads materiality and compliance scores, cross-references against your risk framework, and walks upstream and downstream dependencies.
When a low-rated app feeds a critical system, it recommends materiality upgrade and expanded compliance scope.
→ Recertification on a signal, not on a calendar.
people putting things on board
Alerts correlated against governed CI relationships. Instant incident impact analysis. Auto-generated Post-Incident Reviews with full audit trails.
→ AIOps that works — because the foundation was built first.
Person sitting with a laptop, connected by lines to multiple code or data panels
Every AI capability runs with built-in governance: confidence thresholds, pause-on-irreversible-action, full traceability from AI output back to source data.
→ AI accelerates the work. Humans own the decisions that matter.
Cloud with tools above and people around it
Infrastructure Design Documents ingested automatically.
AI parses hosts, databases, VLANs, firewall rules, certificates, load balancers — and infers relationships.
Pre-populated CI work items generated for governance review and approval.
→ Multi-week manual process becomes a governed, auditable pipeline.
AI reads materiality and compliance scores, cross-references against your risk framework, and walks upstream and downstream dependencies.
When a low-rated app feeds a critical system, it recommends materiality upgrade and expanded compliance scope.
→ Recertification on a signal, not on a calendar.
Alerts correlated against governed CI relationships. Instant incident impact analysis. Auto-generated Post-Incident Reviews with full audit trails.
→ AIOps that works — because the foundation was built first.
Every AI capability runs with built-in governance: confidence thresholds, pause-on-irreversible-action, full traceability from AI output back to source data.
→ AI accelerates the work. Humans own the decisions that matter.
Person looking at robot
people putting things on board
Person sitting with a laptop, connected by lines to multiple code or data panels
Cloud with tools above and people around it
Infrastructure Design Documents ingested automatically.
AI parses hosts, databases, VLANs, firewall rules, certificates, load balancers — and infers relationships.
Pre-populated CI work items generated for governance review and approval.
→ Multi-week manual process becomes a governed, auditable pipeline.
Person looking at robot
AI reads materiality and compliance scores, cross-references against your risk framework, and walks upstream and downstream dependencies.
When a low-rated app feeds a critical system, it recommends materiality upgrade and expanded compliance scope.
→ Recertification on a signal, not on a calendar.
people putting things on board
Alerts correlated against governed CI relationships. Instant incident impact analysis. Auto-generated Post-Incident Reviews with full audit trails.
→ AIOps that works — because the foundation was built first.
Person sitting with a laptop, connected by lines to multiple code or data panels
Every AI capability runs with built-in governance: confidence thresholds, pause-on-irreversible-action, full traceability from AI output back to source data.
→ AI accelerates the work. Humans own the decisions that matter.
Cloud with tools above and people around it

Partner with Adaptavist for CMDB that earns trust

Adaptavist brings deep financial services expertise, a regulated-industry CMDB accelerator, and a proven delivery approach built around the demands of DORA, NIS2, and the EU AI Act. Our partnership ensures your configuration data becomes the foundation your AI can run on — and your regulators can inspect.
Whether you are building your first governed CMDB, rationalising fragmented configuration data, or preparing a DORA Register of Information submission, we bring the schema, the workflows, and the AI capabilities needed to make your CMDB an asset — not a compliance burden.

Ready to build the foundation?

The CMDB you build today decides how far your AI — and your compliance posture — can go tomorrow. Talk to our Service Management practice today.