01
Know what applies
Create a structured inventory of AI systems, responsibilities, business context, risks and applicable governance requirements.
Currently in active development
AI governance & compliance.
Operationalized.
Cyberbude AI TrustOps is an AI governance and compliance operations platform being built to connect AI inventory, risk, controls, evidence, framework requirements, continuous monitoring and audit readiness in one workspace.
01One source of truth for AI governance
02Traceable controls, findings & evidence
03Continuous audit readiness by design
AI TrustOps at a glance
What is Cyberbude AI TrustOps?
Cyberbude AI TrustOps is a web-based AI governance platform in active development. Its goal is to help organizations operationalize AI governance: identify AI systems, assess risk, map regulatory and management-system requirements, manage controls and evidence, monitor governance status, and prepare structured reports for management and audits.
- Product
- AI governance, risk, compliance and audit-readiness platform
- Status
- Active development / pre-launch
- Designed for
- Governance, compliance, risk, security, legal, audit and AI product teams
- Framework direction
- EU AI Act, ISO/IEC 42001 and NIST AI RMF
- Core workflow
- AI inventory → risk → requirements → controls → evidence → monitoring → reporting
- Important
- The platform supports governance processes; it does not itself provide legal advice or certification.
The operational gapAI governance should not live
AI governance should not live
in spreadsheets and slide decks.
Policies and framework mappings are useful, but they do not create operational assurance on their own. Teams need a reliable way to connect AI systems, owners, risks, requirements, controls, evidence, findings, deadlines and reporting — and keep that picture current.
02
Prove what was done
Connect requirements to controls, findings and evidence so decisions stay traceable, reviewable and explainable.
03
Stay audit-ready
Turn governance activity into recurring monitoring, management reporting and structured audit packages instead of point-in-time preparation.
What we are building
A control plane for trustworthy AI operations.
The product is being developed around the operational lifecycle of AI governance — from inventory and risk classification to compliance mapping, evidence, monitoring and reporting.
CORE
AI Inventory & Ownership
Maintain AI systems, owners, business context, lifecycle status and governance responsibilities in one structured source of truth.
CORE
Risk & Governance Workflows
Assess and prioritize AI risks, assign actions, track responsibilities and make governance deadlines visible.
COMPLIANCE
Compliance Mapping
Map framework requirements to AI systems and connect them with controls, evidence, applicability decisions and findings.
EVIDENCE
Controls & Evidence
Build traceable evidence chains so governance decisions and control performance can be verified and explained.
MONITORING
Continuous Monitoring
Move from periodic reviews toward recurring checks, status signals, exceptions and follow-up actions.
REPORTING
Reports & Audit Packages
Create structured management views and audit-ready packages with a focus on integrity, traceability and repeatability.
Operational use cases
What AI TrustOps is designed to help with
The platform is intended for organizations that need to turn AI governance requirements into repeatable operational work rather than a collection of disconnected documents.
EU AI Act readiness
Structure AI-system information, applicability decisions, requirements, controls and evidence for EU AI Act governance work.
AI risk management
Connect AI risks to systems, owners, mitigation actions, findings, deadlines and monitoring signals.
AI management systems
Support an operational management-system approach aligned with AI governance responsibilities and control evidence.
Internal audit preparation
Prepare consistent, traceable evidence and management reporting for internal review and external assurance activities.
Governance reporting
Create a current view of risk posture, control status, deadlines, evidence integrity and governance priorities.
Continuous compliance operations
Replace one-off compliance exercises with recurring checks, exceptions, remediation workflows and accountable follow-up.
Framework-aware governance
One operating model. Multiple frameworks.
AI TrustOps is being designed to translate high-level governance requirements into operational requirements, controls, evidence and accountable workflows. Framework support is expanding during development.
EU AI Act
Regulation (EU) 2024/1689 establishes harmonised rules for artificial intelligence in the European Union. AI TrustOps is being designed to help teams organize relevant governance work and evidence around applicable obligations.
Official EU AI Act on EUR-LexISO/IEC 42001:2023
ISO/IEC 42001 specifies requirements for an Artificial Intelligence Management System (AIMS). AI TrustOps is being designed to support the operationalization and evidence management of AI governance processes.
Official ISO/IEC 42001 pageNIST AI RMF 1.0
The NIST AI Risk Management Framework is a voluntary framework for managing AI risks. AI TrustOps is being designed to map governance activities and evidence to risk-management practices.
Official NIST AI RMF pageReferences to frameworks describe the product direction and intended mapping capabilities. They do not imply endorsement, certification, conformity or legal advice.
Operational model
From AI system to auditable evidence chain.
The intended workflow keeps context and proof connected instead of splitting governance across separate spreadsheets, tickets, documents and presentation decks.
- 01
Inventory
Register the AI system, its purpose, owner, lifecycle and relevant business context.
- 02
Assess
Record risk, applicability and governance decisions with accountable ownership.
- 03
Control
Map requirements to controls, evidence, findings and remediation actions.
- 04
Monitor & report
Track status over time and create management and audit-ready reporting.
Frequently asked questions
AI TrustOps FAQ
Cyberbude AI TrustOps is a web-based AI governance platform in active development. Its goal is to help organizations operationalize AI governance: identify AI systems, assess risk, map regulatory and management-system requirements, manage controls and evidence, monitor governance status, and prepare structured reports for management and audits.
What is Cyberbude AI TrustOps?
Cyberbude AI TrustOps is a web-based AI governance, risk, compliance, evidence and audit-readiness platform currently in active development. It is designed to connect AI-system inventory, risk decisions, framework requirements, controls, evidence, monitoring and reporting in one operational workspace.
What does “TrustOps” mean?
For this product, TrustOps means operating trustworthy-AI governance as an ongoing discipline: assigning ownership, managing risks and requirements, verifying controls and evidence, monitoring status, and producing traceable reporting instead of treating governance as a one-time documentation exercise.
Which AI governance frameworks are planned?
The current product direction includes mapping and governance workflows for the EU AI Act, ISO/IEC 42001:2023 and NIST AI RMF 1.0. Coverage and automation depth are still expanding as development progresses.
Who is AI TrustOps intended for?
AI TrustOps is being designed for organizations and teams responsible for AI governance, compliance, enterprise risk, information security, legal oversight, internal audit, responsible AI and AI product operations.
Is Cyberbude AI TrustOps available now?
Not as a finished commercial product. The platform is in active development. This website provides an early public overview of the product direction and will be updated as capabilities mature.
Does AI TrustOps guarantee compliance or certification?
No. The platform is intended to support governance, documentation, monitoring and evidence workflows. It does not replace legal advice, regulatory interpretation, independent assurance or formal certification.
Build status
A real product in active development.
Cyberbude AI TrustOps is being implemented step by step. This public site intentionally launches early to provide a transparent overview of the product direction while the platform continues to mature.
Governance foundationIN BUILD
Risk & reporting workflowsIN BUILD
Compliance automationEXPANDING
Continuous monitoring & audit packagesEXPANDING
Coming soon
Trustworthy AI needs more than policy.
Trustworthy AI needs more than policy.
It needs operations.
AI TrustOps is being built for teams that want AI governance to become measurable, traceable, repeatable and operational.
Contact us about AI TrustOpsQuestions, partnership interest or early-access inquiries: contact@ai-trustops.com