Security Assurance Intelligence

Know whether a system can safely operate.

And be able to prove why.

VERIDION creates a continuously maintained, machine-understandable security model of your systems and uses AI, evidence and deterministic reasoning to accelerate security assessment, threat analysis, risk decisions and authorization.

Continuous
AI-Assisted
Evidence-Backed
Human-Accountable
Demonstration Environment
Live Model
System Assurance

Payroll Processing Platform

Approved w/ Conditions
91%
AssuranceConfidence
Residual RiskMedium
Completeness98%
Assurance Model
SystemSystemApplicationApplicationSensitive DataSensitive DataControlControlEvidenceEvidenceWeaknessWeaknessThreatThreatRiskRisk
3Material risks
0Critical blockers
742Effective controls
17Requiring attention
The Security Assurance Problem

Security teams are drowning in assessment mechanics.

Assessment Backlog
Delayed Projects
Stale Assurance
Inconsistent Decisions
Increased Exposure

Experienced security professionals spend too much of their time reading documentation, reconstructing architecture, hunting for evidence, mapping controls, checking contradictions and writing repetitive assessment commentary.

Automate the mechanics.
Let experts concentrate on judgement.

GRC records compliance.
VERIDION reasons about assurance.

Traditional GRCSystem of Record
  • Record controls
  • Record evidence
  • Record findings
  • Record risks
  • Record remediation

Captures and stores what teams enter. Essential, structured, and a natural source of truth for VERIDION to build on.

integrates
VERIDIONReasoning Layer
  1. Understand the system
  2. Analyse the evidence
  3. Reason about controls
  4. Model threats
  5. Construct risk
  6. Build assurance cases
  7. Support authorization
The Intelligence Foundation

Veridion does not simply read documents. It builds a machine-understandable model of security reality.

The Language01

Cybersecurity Assurance Ontology

Defines what security concepts mean and how they relate to one another.

AuthorizationAuthorizationSystemSystemComponentComponentInformationInformationClassificationClassificationControlControlEvidenceEvidenceThreatThreatWeaknessWeaknessAssetAssetRiskRisk

Hover any concept to illuminate its relationships

Defines what things mean.
What We Know02

Security Knowledge Graph

A richer, environment-specific graph of the real systems, identities, evidence and risks in play.

InternetInternetWeb ApplicationWeb ApplicationAPI GatewayAPI GatewayDatabaseDatabaseEntra IDEntra IDMFAMFAConfig EvidenceConfig EvidencePen TestPen TestAPI WeaknessAPI WeaknessThreat ScenarioThreat ScenarioSensitive DataSensitive DataResidual RiskResidual Risk

Hover any entity to trace how it connects

Stores what we know and how it is connected.
Current Reality03

System Security Digital Twin

A miniature live model of the deployed architecture, its controls, evidence and current authorization.

Live Architecture
Users
Internet
WAF
API Gateway
Web Application
Application Service
Database + Storage
Identity
Entra IDMFAPIM
Controls
WAFEncryptionRBACLogging
Evidence
Config exportsPen-test reportLogs
Vulnerabilities
API injection weakness
Authorization
Approved with Conditions
Last Updated
2 hours ago
Represents the current security reality.
Ontologydefines meaning
Knowledge Graphstores knowledge
Digital Twinrepresents reality

Together they enable evidence-backed security reasoning.

The Assurance Pipeline

From raw evidence to defensible assurance

Ten stages turn scattered documents and telemetry into a living, defensible argument — each step structured, evidence-linked and accountable to a human.

01

Documents & Technical Sources

The raw inputs — as they actually exist in your environment.

SSPArchitecturePoliciesCloud ConfigurationIAMPen TestsSIEMVulnerability ScansInterviews
02

AI Extraction & System Understanding

Models read, parse and structure every source into machine-usable facts.

03

Cybersecurity Ontology

Facts are mapped onto a formal language of security concepts.

04

Security Knowledge Graph

Concepts connect into a queryable web of relationships.

05

System Security Digital Twin

A living model of the system as it is defended today.

06

Assurance Reasoning

The engine tests claims against evidence — and challenges itself.

Counter-evidence detected
Policy
MFA applies to all privileged accounts.
Configuration
2 emergency accounts excluded.
Proposed conclusion
PARTIALLY EFFECTIVE
Confidence
89%
07

Control · Threat · Risk

Effectiveness, exposure and residual risk are resolved together.

Control
Threat
Risk
08

Assurance Case

A structured, evidence-linked argument for every conclusion.

09

Human Decision

Experts review, adjust and own the final authorization.

10

Continuous Assurance

The twin stays live — assurance is re-evaluated as reality changes.

Conventional AI compliance workflow
Documents
RAG
LLM
Answer

A retrieved passage becomes a confident-sounding answer. No model of the system, no structured evidence, no way to defend the conclusion.

VERIDION
Sources
Structured Understanding
Ontology
Graph
Digital Twin
Evidence Reasoning
Assurance Case
Human Decision

Every conclusion is grounded in a live model of the system and a chain of linked evidence — reasoned, challenged and handed to a human to own.

Not another chatbot over your documents.

Defensible By Design

Every conclusion should be defensible

Veridion transforms assessment results into evidence-backed assurance cases.

Claim

Privileged access is appropriately protected.

Requirement

Applicable ISM / NIST / organisational security objective

Implementation

Controls implementing the requirement

Entra IDPIMConditional AccessMFA

Evidence

Evidence gathered across independent sources

Configuration exportPolicyTechnical testInterviewAccess logs

Supporting Evidence

  • Conditional Access enforces MFA on all roles
  • PIM removes standing privileged access
  • Technical test confirmed enforcement

Counter-evidence

  • 2 emergency accounts excluded from standard MFA policy
  • Exclusion is continuous, not time-bound

Assessment Argument

Weigh supporting evidence against counter-evidence to reach a defensible position.

Proposed Conclusion

Partially Effective
Assurance Confidence89%

A status tells you what was decided.

An assurance case tells you why the decision can be trusted.

Right Decision · Right Human

AI doesn't make one decision.
It prepares the right decision for the right human.

Security assurance involves different accountable decisions. VERIDION prepares a purpose-built decision package for each role.

Security AssessorIs the control effective?
Live
RequirementMFA on all admin access
ImplementationEntra ID · Conditional Access
Evidence4 sources · verified
Counter-evidence2 excluded accounts
AI RecommendationEffective
Confidence
93%
Possible Decisions
EffectivePartially EffectiveIneffectiveInsufficient EvidenceNot Applicable
Risk OwnerIs the residual risk acceptable?
Live
Risk ScenarioCredential theft → data access
Business ConsequencePayroll data exposure
LikelihoodModerate
Existing ControlsMFA · CA · PIM
Residual RiskMedium
Risk AppetiteLow–Medium
Treatment OptionsConditional accept
Possible Decisions
AcceptAccept with ConditionsRequire TreatmentTransferAvoidEscalate
System OwnerWhat are we going to do?
Live
FindingEmergency accounts bypass MFA
Affected ComponentsEntra ID · 2 accounts
Related RiskCredential theft (Medium)
Risk ReductionHigh
Implementation EffortLow · ~2 days
Target DateQ2 2026
AI RecommendationRemediate
Possible Decisions
RemediateCompensating ControlDeferException RequestRetire Capability
Authorising OfficerMay this system operate?
Recommended Decision
Approve with Conditions
Overall Residual RiskMedium
Assurance Confidence91%
Critical Blockers0
Material Risks3
Assessment Completeness98%
Decision Options
ApproveApprove with ConditionsTemporary AuthorizationRequire RemediationRequest More InformationNo-Go
DecisionUnlimited drill-down

Core identity, access, and encryption controls are effective and evidence-backed. Residual risk is concentrated in three material items with defined treatment plans. Recommend approval conditioned on closing the emergency-account MFA gap within 30 days.

Emergency accounts bypass MFAMedium
Logging retention below policyMedium
Legacy TLS on internal serviceLow
Identity & Access (AC)Effective
Encryption (SC)Effective
Audit & Logging (AU)Partially Effective
Configuration (CM)Effective
Entra ID Conditional Access export
PIM role assignment report
TLS configuration scan
Audit log retention policy
Penetration test findings
entra_conditional_access.json
pim_assignments.csv
tls_scan_2026-02.xml
siem_retention_config.yaml
pentest_report_q1.pdf

Demonstration content only

Simple Decision
Transparent Explanation
Unlimited Drill-down
The Assurance Lifecycle

From periodic assessment to living assurance

Security authorization is not a one-time gate. VERIDION runs the full lifecycle as a continuous loop — and when reality changes, it knows exactly what to revisit.

01

Build

Are we ready for assessment?

  • Architecture understanding
  • Control applicability
  • Evidence readiness
  • Gap analysis
02

Assess

What is implemented and effective?

  • Evidence analysis
  • Control assessment
  • Threat modelling
  • Risk analysis
03

Authorize

Can the residual risk be accepted?

  • Decision package
  • Conditions
  • Risk acceptance
  • ATO / go-live
04

Monitor

Has anything invalidated our assurance?

  • Continuous evidence
  • Change analysis
  • Evidence ageing
  • Reassessment triggers

Monitor feeds continuously back into Build and Assess — a living loop, not a line

System State09:41

API Endpoint

Private API Endpoint

Change Detected09:42

API Endpoint changed to

INTERNET ACCESSIBLE

Consequence propagation

  1. 1Architecture changed
  2. 2Exposure changed
  3. 3Trust boundary changed
  4. 43 new threat paths
  5. 56 controls potentially affected
  6. 64 evidence artefacts potentially invalid
  7. 72 risks require recalculation

Targeted Reassessment Required

12Affected assurance objects
731Unaffected objects

Reassess what changed. Not everything.

Continuous AI-Assisted Security Authorization

Framework Agnostic

Understand security once.
Assess against many frameworks.

Veridion is not an ISM-only tool. It models how security is actually implemented, then evaluates how that single reality satisfies every framework you are accountable to.

Australian ISMISM-1173 · Privileged AccessEssential EightRestrict Admin Privileges · ML2PSPFPolicy 11 · Robust ICTNIST 800-53AC-2(7) · AC-6 · IA-2(1)ISO 27001A.8.2 · Privileged Access RightsCIS ControlsControl 5.4 · 6.5FedRAMPModerate · AC-6(5)Org-specificInternal Control Pack v3
Security Reality

Privileged administrative access protected using

Entra IDPIMMFAConditional Access

Evidence once.
Assess many.

Veridion models the implementation first, then evaluates how that reality satisfies each framework. Collect and verify evidence a single time — reuse it across every requirement it can support.

Hover any framework in the map to see how the same privileged-access implementation is expressed in that framework's own language.

Framework Intelligence
NIST 800-53
Requirement
The organization enforces least privilege and multi-factor authentication for privileged accounts.
Control Objective
Least privilege with MFA for privileged network access.
Implementation
Entra IDPIMMFAConditional Access
Evidence
  • PIM role configuration export
  • Conditional Access policy set
  • MFA enrollment report
  • Privileged sign-in logs (30d)
Mapping Confidence93%
Equivalent Requirements
Australian ISMISM-1173 · Privileged AccessEssential EightRestrict Admin Privileges · ML2PSPFPolicy 11 · Robust ICTISO 27001A.8.2 · Privileged Access Rights

Custom Control Packs

Author bespoke control sets and assess reality against them alongside published frameworks.

Organisational Overlays

Layer agency or enterprise-specific hardening on top of any baseline framework.

Framework Versioning

Track requirement changes across framework revisions and re-evaluate impact automatically.

Control Cross-Mapping

One implementation satisfies many requirements — mapped, deduplicated, and reconciled.

Conceptual demonstration functionality. Framework mappings and confidence values shown are illustrative and do not represent certified compliance with, or endorsement by, any framework authority.

Common-Control Inheritance

Stop assessing the same security control again and again.

Enterprise services like identity, logging and network security are assessed once — then their assurance flows to every system that depends on them.

Common ControlAssessed

Enterprise Identity Service

Assessed centrally · inherited widely

  • MFA
  • Conditional Access
  • Privileged Identity Management
  • Authentication Logging
Assurance Inheritance
Finance SystemInherited
HR PlatformInherited
Analytics PlatformInherited
CRMInherited
Citizen PortalInherited
Data PlatformInherited

Assess common enterprise controls once. Reuse trusted assurance across every dependent system — with the inheritance made explicit, not assumed.

Enterprise MFA Control

Multi-Factor Authentication

Enterprise Identity Service

Effective→Degraded
Inherited Impact Analysis
127

dependent systems identified

46

require review

8

material assurance impacts

One control degrades and Veridion instantly traces the blast radius through the inheritance graph — telling you exactly which systems to review, not asking you to guess.

Enterprise Security Memory

Your organisation should not solve the same security problem twice.

Veridion retains what your organisation already knows — patterns, evidence, decisions and precedents — as a governed corporate memory.

Approved Architecture Patterns

Reference designs already accepted, ready to reuse with their assurance intact.

Reusable Evidence

Artefacts collected once, linked to every control and system they substantiate.

Common Controls

Enterprise services assessed centrally and inherited by dependent systems.

Previous Assessments

Prior judgements retained with their reasoning, evidence and conditions.

Accepted Treatments

Risk treatments an authority has already approved, with scope and expiry.

Recurring Risks

Patterns of risk that reappear across systems, surfaced before they bite.

Assessment Precedents

How comparable cases were decided, so new decisions stay consistent.

Governed, not guessed

Every reused item is versioned and provenance-aware — you always know where it came from and whether it still applies.

Governed

Reuse is authorised and scoped, never automatic. Human owners decide what enters memory.

Versioned

Patterns and evidence carry versions, so a superseded decision never masquerades as current.

Provenance-aware

Every conclusion traces to its source and the context it was valid in — not a black-box model.

This is organisational knowledge that is governed, versioned and provenance-aware — deliberately different from a model that blindly learns from past decisions. Precedent informs judgement; it never silently overrides it.

Trust Model

AI you can trust with security assurance

VERIDION separates what AI is good at from what only accountable humans and deterministic rules should own — so intelligence accelerates the work without ever owning the decision.

01

AI Proposes

The engine does the mechanical heavy lifting — but only ever proposes.

ExtractInterpretCorrelateReasonChallengeRecommendDraft
02

Evidence Proves

Every significant conclusion is linked to traceable, verifiable provenance:

  1. Source
  2. Version
  3. Timestamp
  4. Evidence
  5. Provenance
03

Rules Constrain

Deterministic requirements use deterministic evaluation — never a language model.

Requirement
100% privileged accounts require MFA
Observed
97/ 100
Result
Requirement not fully satisfied
04

Humans Decide

Formal authority always remains with accountable people:

  • Security Assessor
  • Risk Owner
  • System Owner
  • Authorising Officer
AI Provenance Record

Every recommendation ships with its receipts

AI Recommendation
Partially Effective
Model
VERIDION Assurance Engine
Evidence reviewed
12 artefacts
Rules applied
4
Counter-evidence
1
Confidence
89%
Human reviewer
Pending

Illustrative record. Values shown are for demonstration only.

Built for High-Trust Environments

Designed for government and critical infrastructure

A target architecture built around how sensitive organisations actually control their evidence — from files on a drive to sovereign, in-environment collection.

Evidence acquisition modes

1

Supplied Evidence

Files, exports and reports provided directly by the organisation.

FilesExportsReports
2

Read-only Connectivity

Scoped, read-only access to existing platforms — no write privileges.

AzureAWSGCPEntraGitHubSecurity platforms
3

Sovereign / Local Collector

Customer-controlled collection running inside sensitive environments.

Customer-controlledIn-environmentAir-gap friendly

Deployment options

Target architecture

SaaS

Multi-tenant managed service

Dedicated Tenant

Isolated single-customer instance

Sovereign Cloud

In-region, jurisdiction-aligned

Private / Customer Hosted

Runs in customer infrastructure

Product direction, not a claim of availability. These modes and deployment models describe the target architecture VERIDION is designed to support. They are not represented as already implemented or certified.

Defensibility & Direction

Why Veridion can become more valuable with every assessment

The moat is not a single model — it is a designed stack of compounding intelligence assets. Each is a core IP direction, described here as intended foundations rather than completed proprietary technology.

01

Cybersecurity Assurance Ontology

How Veridion represents the security-assurance world.

02

Assessor Reasoning Model

How experienced professionals reach defensible conclusions.

03

Security Knowledge Graph

Accumulated relationships between systems, controls, evidence, threats and risks.

04

Framework Intelligence

Deep interpretation and mapping across security frameworks.

05

Assessment Intelligence

Knowledge developed through human-reviewed assessments.

06

Enterprise Security Memory

Customer-specific reusable patterns, evidence, common controls and precedents.

Compounding assurance intelligence

Designed moat
First assessmentEvery assessment after
Ontology + ReasoningKnowledge GraphFramework IntelligenceAssessment IntelligenceEnterprise Security Memory

Each human-reviewed assessment is designed to deepen the ontology, enrich the knowledge graph and extend enterprise memory — an intended intelligence foundation where value accrues with use rather than resetting each engagement.

Product Maturity Path

From weeks to days.
From periodic to continuous.
From checklists to intelligence.

  1. L1

    Digitised Assessment

  2. L2

    AI-Assisted Assessment

  3. L3

    Intelligent Assurance

  4. L4

    Continuous Assurance

  5. L5

    Predictive Assurance

Target outcome

Dramatically reduce skilled assessor effort while increasing consistency, traceability and assurance quality.

The opportunity is not to automate cybersecurity.

It is to transform how organisations establish and maintain trust in their systems.

The Future of Security Assurance

Security authorization should not be a document produced once.

It should be a living, evidence-backed understanding of whether a system can safely operate.

System
Understand
Assess
Prove
Authorize
Monitor

Understand the system,
not merely its documents.

Assess security reality,
not merely checklist compliance.

Automate the mechanics,
so experts concentrate on judgement.

AI proposes.
Evidence proves.
Rules constrain.
Humans decide.

Veridion is currently in foundational product development. Selected organisations and security practitioners are invited to participate in early design and pilot discussions.