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Governance & Policy
Manage policy lifecycles, ownership, approvals, distribution, exceptions and acknowledgements.
Always-current governance
AI-driven assurance and digital trust
Sense everything.
Sense everything.
Prove trust.
NXDD Verity connects enterprise assurance with AI impact, risk, security and regulatory readiness — creating a living trust posture you can measure, explain and share.
✓ Continuous assurance✓ Human-governed AI✓ Full data ownership
Enterprise Trust Posture● Live
Digital Trust Score
87/100
▲ 6 points this quarter
Security92
Compliance89
Privacy84
AI Governance81
Resilience88
Aria activityNow
24 evidence items mapped
3 control drifts prioritized
Questionnaire draft prepared
Continuous evidence1,248 items verified
AI systems governed12 models in scope
15connected assurance capabilities
5trust dimensions in one score
3deployment models: on-prem, cloud, SaaS
1source of truth for evidence and decisions
Compliance shows what was checked. Verity shows what can be trusted now.
Move from point-in-time evidence gathering to continuous, shareable assurance.The shift Verity is built for
Trust should be a live signal, not an annual scramble.
NXDD Verity brings governance, risk, compliance, AI assurance and third-party trust into one connected platform.
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See the full picture
Connect controls, risks, assets, evidence, AI models, incidents and vendors in one operating model.
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Assure continuously
Collect evidence, test controls and detect drift as your environment changes.
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Translate posture into decisions
Prioritize exposure, quantify risk and communicate a board-ready Digital Trust Score.
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Share trust securely
Respond to customers, regulators and auditors from verified evidence through the Trust Exchange.
How it works
One continuous loop from signal to proof.
Aria orchestrates the work while your people remain in control of decisions, approvals and accountability.
1
Connect
Integrate your tools, data sources, frameworks, assets, vendors and AI systems.
2
Sense
Continuously monitor control performance, exposure, change and emerging risk.
3
Govern
Maintain policies, controls, ownership, approvals and AI lifecycle governance.
4
Quantify
Translate findings into prioritized risk, financial impact and trust dimensions.
5
Assure
Collect evidence, test controls and prepare assessment narratives for review.
6
Prove & Share
Publish approved attestations and answer assurance requests from verified data.
Aria coordinates the loop · Humans approve the outcome
Connected platform
Everything required to govern, assure and prove trust.
Start with the capabilities you need today, then expand without rebuilding your assurance program.
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AI & Model Governance
Inventory AI systems, assign ownership and govern decisions, data, models and use across the lifecycle.
Responsible AI by design→
AI Impact & Risk Assessment
Assess people, rights, safety, security, privacy, bias, robustness and regulatory exposure before approval and after material change.
Evidence-based AI assurance→
Risk & Quantification
Identify, prioritize and treat risk, including decision-ready financial impact scenarios.
Board language, not heatmaps→
Continuous Controls Assurance
Automate evidence collection, test control performance and highlight gaps and drift.
Always audit-ready→
Third-Party Trust
Assess vendors and supply chains, track remediation and maintain a current assurance view.
Trust beyond your walls→
Trust Exchange
Share approved assurance, issue attestations and streamline questionnaires from verified evidence.
Trust as an accelerator→
Audit & Evidence
Plan audits, centralize evidence, manage findings and preserve a defensible record.
Lower-friction assurance→
Incident & Action Management
Coordinate response, corrective actions, tasks, owners, SLAs and management reporting.
Accountability built in→
Dashboards & Reporting
Give executives, owners, auditors and regulators the views and evidence relevant to them.
Live, role-based insightAria · Agentic AI engine
Aria does the assurance work. Your team makes the decision.
Aria reduces repetitive work across the platform without removing human accountability.
1
Evidence intelligence
Collects, classifies and maps evidence to the controls and frameworks it supports.
2
Control and risk assistance
Flags drift, drafts assessments and recommends prioritized action for review.
3
Trust response automation
Prepares questionnaires and assurance responses from approved, traceable evidence.
A governed assurance agent
Every output remains traceable to source evidence and subject to human review.
01
ObserveSignals, evidence and control changes
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02
ReasonMap, compare, assess and prioritize
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03
PrepareDraft findings, actions and assurance responses
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04
Human approvalReview, amend, approve and publish
87Illustrative score
One score. Full explanation.
Drill from the enterprise signal into each dimension, risk, control, owner and evidence item.
Security92
Identity, exposure, monitoring and responseCompliance89
Framework coverage and control performancePrivacy84
Data protection, ownership and residencyAI Governance81
Inventory, lifecycle, risk and responsible AIDigital Trust Score
Your trustworthiness, in one signal you can explain.
The Digital Trust Score translates a complex posture into a board-ready index while preserving full drill-down and evidence traceability.
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Board-ready
Communicate one clear signal with the decisions and evidence behind it.
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Continuously updated
Reflect change as controls, risk, assets, AI systems and third parties evolve.
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Shareable by design
Publish approved views and attestations through the Trust Exchange.
AI governance and assurance
Govern every AI system from idea to retirement.
NXDD Verity creates one governed record for AI ownership, intended use, impact, risk, controls, testing, approvals, monitoring and evidence.
AI inventory & classification
Register models, applications, agents, RAG solutions, embedded AI and third-party services with owners, data, purpose and deployment context.
Know every AI systemAI impact assessment
Document foreseeable effects on individuals, groups, fundamental rights, safety, society and the environment across the lifecycle.
ISO/IEC 42005:2025 alignedAI risk assessment
Evaluate security, privacy, bias, robustness, reliability, misuse, autonomy, data quality and supply-chain risk with treatment plans.
ISO 23894 + NIST AI RMFRegulatory readiness
Support EU AI Act role and risk classification, prohibited-practice screening, high-risk evidence, GPAI considerations and applicable impact assessments.
Readiness, not legal certificationAI security testing
Plan threat modelling, red teaming and control validation for models, prompts, RAG, agents, tools, APIs, data pipelines and infrastructure.
MITRE · OWASP · CSAContinuous evidence & monitoring
Track changes, incidents, model behaviour, control performance, human oversight and reassessment triggers after deployment.
Lifecycle assuranceAI assurance workflow
From AI discovery to monitored approval.
A repeatable workflow preserves decision history, evidence, risk acceptance and reassessment triggers.
Low
Low
Moderate
High
Low
Moderate
High
High
Moderate
High
Critical
Critical
High
High
Critical
Critical
Structured AI assessment
Assess impact, risk and security in one connected process.
Each assessment links to the AI system, business purpose, affected stakeholders, data, vendors, controls, findings, approvals and ongoing monitoring.
1Discover & classifyIdentify AI type, use case, role, geography, affected people and applicable obligations.
2Assess impactEvaluate benefits, harms, rights, safety, environment and reasonably foreseeable misuse.
3Assess risk & threatsScore inherent and residual risk; map attack paths, vulnerabilities and third-party dependencies.
4Treat, test & evidenceAssign safeguards, run evaluations and red-team tests, and collect proof of implementation.
5Approve & monitorRecord accountable approval, conditions, human oversight, monitoring and reassessment triggers.
AI assessment catalogue
One platform for governance, regulatory and technical AI assessments.
Use configurable questionnaires, scoring, evidence requests, workflows and reports for different AI technologies, sectors and assurance needs.
AI System Impact Assessment
Assess effects on people, groups, society, rights, safety and the environment, including benefits, harms and affected stakeholders.
ISO/IEC 42005:2025AI Risk Assessment
Identify, analyse, evaluate and treat AI risks across governance, data, model, application, operation and retirement.
ISO/IEC 23894 · NIST AI RMFEU AI Act Readiness
Support role determination, risk classification, prohibited-use screening and evidence planning for provider and deployer obligations.
EU AI Act supportAdversarial AI Threat Assessment
Map realistic attack paths, tactics, techniques, mitigations and test cases for AI-enabled systems.
MITRE ATLASGenAI & Agentic Security Review
Assess prompt injection, data disclosure, supply chain, output handling, excessive agency, RAG, tools and agentic workflow risks.
OWASP GenAI & AgenticCloud AI Controls Assessment
Evaluate governance and technical safeguards for cloud-based AI and capture reusable customer-assurance responses.
CSA AICM · AI-CAIQGenAI, RAG, Agent & MCP Assessment
Assess model access, grounding, vector stores, memory, tool permissions, connectors, autonomous actions and guardrails.
Architecture-specific reviewThird-Party AI Assessment
Review foundation models, AI SaaS, data use, subprocessors, residency, contractual safeguards, incident duties and exit arrangements.
Supply-chain assuranceQuality, Bias & Robustness Assessment
Evaluate data quality, fairness, explainability, accuracy, reliability, robustness, drift and human oversight requirements.
Evidence and test resultsAI security baseline
A minimum control baseline for every AI system.
Verity turns AI security guidance into assignable controls, evidence, test cases, exceptions and continuous monitoring.
✓ Configurable by risk tier✓ Mapped to frameworks✓ Evidence linked
01
Governance & accountabilityOwners, roles, policy, risk appetite and approval authority.
02
Inventory & classificationAI type, use, role, geography, criticality and risk tier.
03
Data, privacy & provenanceLawful use, minimisation, lineage, quality, retention and residency.
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Secure AI lifecycleDesign gates, code and dependency security, testing and change control.
05
Model & inference securityModel access, extraction, poisoning, evasion, integrity and availability.
06
Prompt, output & RAG securityInjection, disclosure, validation, grounding and vector-store controls.
07
Agent, tool & MCP securityLeast agency, permission boundaries, tool trust and action confirmation.
08
Identity, secrets & accessStrong authentication, service identities, keys, tokens and segregation.
09
Supply chain & third partiesModels, datasets, libraries, vendors, licenses and contractual controls.
10
Testing & red teamingAbuse cases, evaluations, attack simulation and remediation validation.
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Monitoring & human oversightLogs, drift, behaviour, explainability, intervention and kill switches.
12
Incident response & resilienceAI incident playbooks, containment, reporting, recovery and continuity.
Built for every assurance stakeholder
One platform. The right view for every role.
Verity connects the teams who own risk with the people who need credible proof.
CISO
A defensible posture, prioritized risk and less audit drag.
Board & Audit Committee
A clear trust signal, financial risk and accountable decisions.
Risk & Compliance
One control model, continuous evidence and traceable actions.
AI Governance Lead
Impact, risk, regulatory readiness, controls and evidence across the AI lifecycle.
Customers & Regulators
Approved assurance and evidence, available when needed.
Compliance and framework coverage
Map once. Assess and prove across many frameworks.
NXDD Verity links requirements, controls, risks, evidence and assessments in a common model. Framework coverage is presented as support, mapping and readiness unless a formal certification or legal determination exists.
GCC
UAE IAUAE PDPLDESC ISRSaudi NCARegional AI requirements
Malaysia & APAC
Malaysia PDPABNM RMiTCyber Security ActAPAC AI mappings
Global security & privacy
ISO/IEC 27001ISO/IEC 27701NIST CSFSOC 2GDPRCSA CCM
AI governance, impact & risk
ISO/IEC 42001:2023ISO/IEC 42005:2025ISO/IEC 23894:2023NIST AI RMF 1.0NIST AI 600-1ISO/IEC 5338:2023
AI security & threat baselines
MITRE ATLASOWASP LLM & GenAI 2025OWASP Agentic 2026CSA AICMAI-CAIQNIST SP 800-218A
Regulatory and assurance support
EU AI ActHigh-risk system evidenceFundamental-rights impact supportGPAI considerationsPost-market monitoringISO 42001 readiness
ISO/IEC 42001 certification is performed by independent certification bodies. EU AI Act support is an assessment and evidence-enablement capability and is not legal advice or a conformity decision.
Deployment and data ownership
Your data. Your infrastructure. Your rules.
Choose the deployment model that fits your regulatory, residency, security and operating requirements.
On-Premises
Maximum sovereignty for highly regulated or isolated environments.
- Customer-controlled infrastructure
- Local data residency
- Custom integration boundary
Private or Public Cloud
Enterprise scale and resilience, deployed in your selected environment and region.
- Flexible architecture
- Regional hosting options
- Enterprise security controls
SaaS
Faster time-to-value with a managed service and defined service commitments.
- Rapid onboarding
- Managed operations
- Subscription-based scale
Why NXDD Verity
Trust you can prove, not just document.
Verity is designed for organizations that need current, defensible and shareable assurance.
| Capability | Traditional approach | NXDD Verity |
|---|---|---|
| Assurance model | Point-in-time and audit-driven | Continuous and evidence-connected |
| AI governance | Separate or limited | Native lifecycle governance |
| AI impact & risk | Ad hoc forms and disconnected reviews | Structured assessments linked to systems, controls and evidence |
| AI security | Generic technical checks | MITRE ATLAS, OWASP GenAI/Agentic and CSA AICM mapping |
| AI assistance | Manual preparation | Aria prepares work for human approval |
| Trust signal | Reports and evidence binders | Digital Trust Score with drill-down |
| Sharing assurance | Repeated manual questionnaires | Trust Exchange from approved evidence |
| Risk language | Static heatmaps | Prioritized and financially informed risk |
| Deployment | Often fixed | On-premises, cloud or SaaS |
| Data ownership | Varies by provider | Customer ownership and portability by design |
See your trust, proven.
Turn your assurance program into a live strategic asset.
Book a focused session to review your assurance program, AI inventory, impact and risk assessments, security baselines, framework obligations and deployment needs.
✓ Personalized walkthrough✓ Deployment discussion✓ Trust Score approach