{"id":720070,"date":"2025-08-25T12:37:00","date_gmt":"2025-08-25T10:37:00","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/ai-governance-and-risk\/"},"modified":"2025-10-31T08:18:40","modified_gmt":"2025-10-31T07:18:40","slug":"ai-governance-and-risk","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/be\/expert-view\/ai-governance-and-risk\/","title":{"rendered":"Operationalising AI Governance and Risk Through Existing Enterprise Structures"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">As\u00a0<a href=\"https:\/\/devoteam.info\/be\/services\/ai-ml\/\" target=\"_blank\">Artificial Intelligence<\/a>\u00a0evolves into an integral part of productivity, business process optimisation, and digital transformation, organis<\/span>ations should begin to consider not just if AI should be used, but how to use it responsibly, securely, and ethically. The answer lies less in creating standalone oversight structures and more in adapting and extending existing governance, risk, and compliance <a href=\"https:\/\/devoteam.info\/expert-view\/grc-why-you-need-it\/\">(GRC) frameworks<\/a> to support AI across its lifecycle.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This article outlines a pragmatic, <strong>security-first approach to AI governance<\/strong> that builds upon existing enterprise frameworks while integrating AI-specific controls, monitoring practices, and ethical guidelines for both public and private AI deployments.<\/p>\n\n\n\n<p class=\"has-medium-small-font-size wp-block-paragraph\"><strong><em>Also read: <a href=\"https:\/\/devoteam.info\/be\/expert-view\/ai-governance-your-pathway-to-responsible-and-empowered-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Governance: Your Pathway to Responsible and Empowered AI<\/a><\/em><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-governance-structure-extend-roles-and-boards-to-include-ai-oversight\">Governance Structure: Extend Roles and Boards to Include AI Oversight<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Rather than creating entirely new teams, AI governance should leverage and expand existing enterprise roles:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI Product Owner Role<\/strong>: Extends product and solution owners\u2019 responsibilities to include model lifecycle management and business alignment.<\/li>\n\n\n\n<li><strong>AI Security Officer Role<\/strong>: Broadens the CISO function to address AI threats like adversarial prompts, model poisoning, or API abuse.<\/li>\n\n\n\n<li><strong>Data Governance Role<\/strong> : Applies established data stewardship and privacy standards to AI training data, model inputs, and inference pipelines.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Augment your existing IT governance board, GRC committee, or architecture review board to serve as an AI Risk Council. Responsibilities include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reviewing AI use cases and classification<\/li>\n\n\n\n<li>Approving model deployments<\/li>\n\n\n\n<li>Ensuring compliance with industry and regulatory standards<\/li>\n\n\n\n<li>Maintaining a model registry for lifecycle management and auditability<\/li>\n\n\n\n<li>Overseeing the generation and control of AI Bills of Materials (AIBOMs)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>AI governance doesn\u2019t require new overhead; it requires evolving trusted oversight bodies to cover emerging technologies.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-policy-amp-control-framework-embed-ai-in-it-and-grc-policies\">Policy &amp; Control Framework: Embed AI in IT and GRC Policies<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Current IT governance frameworks provide a strong foundation for AI controls. The key is enhancing, not replacing them:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Acceptable Use of AI: Extend digital ethics policies to define prohibited and permitted AI use cases (e.g., banning surveillance, manipulation).<\/li>\n\n\n\n<li>Lifecycle Controls: Integrate <strong>model approval, versioning<\/strong>, and deprecation into your change and release management processes.<\/li>\n\n\n\n<li>Model Registries: Use configuration management tools to track AI models, training data, dependencies, and deployment status.<\/li>\n\n\n\n<li>AI Bill of Materials (AIBOMs): Provides <strong>transparency across the AI supply chain<\/strong>,&nbsp;datasets, model versions, APIs, and prompts&nbsp; similar to SBOMs.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Treat AI artefacts as operational assets: trackable, protected, and subject to governance and audit.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-risk-management-extend-enterprise-grc-programs-with-ai-overlays\">Risk Management: Extend Enterprise GRC Programs with AI Overlays<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI should be governed through a <strong>secure, risk-based approach that aligns with your existing enterprise risk management processes<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This means extending current risk registers, impact assessment, controls design and classification tools by integrating established industry frameworks to ensure AI-related risks are identified, assessed, and managed consistently across your security and compliance programs.<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><thead><tr><th>Framework<\/th><th>Publisher<\/th><th>Focus<\/th><\/tr><\/thead><tbody><tr><td>NIST AI RMF<\/td><td>NIST<\/td><td>Lifecycle risk governance for AI systems<\/td><\/tr><tr><td>ISO\/IEC 42001:2023<\/td><td>ISO<\/td><td>AI management system standard<\/td><\/tr><tr><td>ISO\/IEC 23894:2023<\/td><td>ISO<\/td><td>Risk management guidance aligned to ISO 31000<\/td><\/tr><tr><td>SANS AI Guidelines<\/td><td>SANS<\/td><td>Threat modelling and mitigation for AI<\/td><\/tr><tr><td>CSA AI Security Matrix<\/td><td>Cloud Security Alliance<\/td><td>Cloud native security for AI<\/td><\/tr><tr><td>OWASP Top 10 for LLMs<\/td><td>OWASP<\/td><td>LLM-specific vulnerabilities<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Map these frameworks to your existing:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enterprise risk registers<\/li>\n\n\n\n<li>Change advisory boards (CABs)<\/li>\n\n\n\n<li>Audit frameworks<\/li>\n\n\n\n<li>Security and compliance requirements<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Risk-based governance ensures AI systems are subject to the same rigour as your critical applications and infrastructure.<\/em> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Read why you need <a href=\"https:\/\/devoteam.info\/expert-view\/grc-why-you-need-it\/\">GRC Frameworks<\/a>. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-monitoring-and-testing-apply-security-operations-to-ai\">Monitoring and Testing: Apply Security Operations to AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI models must be <strong>continuously observed and tested just like any production system<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Monitoring: Use SIEM, AIOps, and observability tools to track:\n<ul class=\"wp-block-list\">\n<li>Prompt logs and output history<\/li>\n\n\n\n<li>Inference refusals or anomalies<\/li>\n\n\n\n<li>Hallucinations or bias signals<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Testing &amp; Red Teaming:\n<ul class=\"wp-block-list\">\n<li>Perform scenario-based red teaming for private models<\/li>\n\n\n\n<li>Regularly tune and revalidate models post-deployment<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Drift Detection: Monitor behaviour drift over time and trigger retraining or rollback actions as needed.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Use your existing operations and cybersecurity infrastructure to keep AI under watch, detecting misuse, drift, or degradation.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-regulatory-amp-ethical-alignment-leverage-compliance-and-esg-functions\">Regulatory &amp; Ethical Alignment: Leverage Compliance and ESG Functions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI regulations are rapidly evolving, especially in the EU. Your current legal, compliance, and ESG teams can extend their mandate to include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/devoteam.info\/expert-view\/handling-gdpr-personal-data\/\">GDPR<\/a> compliance: Data minimisation, explainability, and rights to contest AI-driven decisions<\/li>\n\n\n\n<li><a href=\"https:\/\/artificialintelligenceact.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\">EU AI Act<\/a>: Classify AI systems into minimal, limited, or high risk categories and manage associated conformity assessments<\/li>\n\n\n\n<li>Ethical Frameworks:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Framework<\/strong><\/td><td><strong>Publisher<\/strong><\/td><td><strong>Focus<\/strong><\/td><\/tr><tr><td><strong>OECD AI Principles<\/strong><\/td><td>OECD<\/td><td>Human-centric, accountable AI<\/td><\/tr><tr><td><strong>UNESCO AI Ethics<\/strong><\/td><td>UNESCO<\/td><td>Fairness, sustainability, transparency<\/td><\/tr><tr><td><strong>IEEE Ethically Aligned Design<\/strong><\/td><td>IEEE<\/td><td>Ethical design in autonomous systems<\/td><\/tr><tr><td><strong>EU AI Ethics Guidelines<\/strong><\/td><td>EU HLEG<\/td><td>Trustworthy, inclusive AI<\/td><\/tr><tr><td><strong>ISO\/IEC TR 24368<\/strong><\/td><td>ISO<\/td><td>Societal and ethical risks in AI<\/td><\/tr><tr><td><strong>WEF AI Governance Toolkit<\/strong><\/td><td>WEF<\/td><td>Executive oversight and board governance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Your organisation\u2019s existing ethics programs can provide the foundation for responsible AI&nbsp; with executive-level endorsement.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-auditability-and-transparency-extend-current-controls-to-support-ai\">Auditability and Transparency: Extend Current Controls to Support AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Transparency isn\u2019t a luxury<\/strong>, it\u2019s a requirement. Your existing audit, logging, and documentation systems can be adapted to include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Explainability by Design<\/strong>: Require clear rationales for decisions made by high-impact AI systems.<\/li>\n\n\n\n<li>Audit Logging:\n<ul class=\"wp-block-list\">\n<li>Record prompts, model outputs, and inference contexts<\/li>\n\n\n\n<li>Protect logs as sensitive data (they may contain PII or business logic)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Traceability<\/strong>: Use model registries and AIBOMs to support forensic investigations, rollback, and reproducibility.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>If AI makes decisions that affect people or customers, you must be able to explain and trace them just like financial transactions.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-incident-response-integrate-ai-into-security-and-crisis-playbooks\">Incident Response: Integrate AI into Security and Crisis Playbooks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI-related failures must be handled using your existing incident response framework. Update playbooks to include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI-specific threats<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Prompt injection<\/li>\n\n\n\n<li>Unexpected or offensive outputs<\/li>\n\n\n\n<li>Unauthorised model access or misuse<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Response actions<\/strong>:\n<ul class=\"wp-block-list\">\n<li>Immediate model disabling or version rollback<\/li>\n\n\n\n<li>Escalation to legal\/compliance<\/li>\n\n\n\n<li>Communication protocols for impacted stakeholders<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Security teams must support, not block, AI adoption by preparing the organisation to respond to misuse or failure.<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-1\" id=\"h-ai-governance-integration-checklist\">AI Governance Integration Checklist<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Area<\/strong><\/td><td><strong>Extend\/Embed Into Existing Structures<\/strong><\/td><\/tr><tr><td><strong>Governance Roles &amp; Boards<\/strong><\/td><td>Add AI to existing product, security, compliance, and GRC boards<\/td><\/tr><tr><td><strong>Policy Framework<\/strong><\/td><td>Expand digital use, data governance, and lifecycle policies for AI<\/td><\/tr><tr><td><strong>Model Registry<\/strong><\/td><td>Use config management practices to track models, metadata, and training data<\/td><\/tr><tr><td><strong>AI Bill of Materials (AIBOM)<\/strong><\/td><td>Apply SBOM practices to AI pipelines to protect against supply chain exposure<\/td><\/tr><tr><td><strong>AI Risk Management<\/strong><\/td><td>Map NIST AI RMF, ISO 23894, and OWASP risks to enterprise risk programs<\/td><\/tr><tr><td><strong>Monitoring &amp; Observability<\/strong><\/td><td>Track inference activity, drift, refusals, and anomalous behaviour using SIEM and monitoring tools<\/td><\/tr><tr><td><strong>Testing &amp; Validation<\/strong><\/td><td>Embed red teaming, adversarial testing, and retuning into your DevSecOps workflows<\/td><\/tr><tr><td><strong>Audit &amp; Logging<\/strong><\/td><td>Extend audit infrastructure to capture and secure AI input\/output history<\/td><\/tr><tr><td><strong>Compliance &amp; Ethics<\/strong><\/td><td>Embed global frameworks into ESG, privacy, and legal programs<\/td><\/tr><tr><td><strong>Incident Response<\/strong><\/td><td>Add AI scenarios to existing cybersecurity and crisis management playbooks<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-devoteam-supports-ai-adoption-with-trust-governance-and-strategic-impact\">How Devoteam Supports AI Adoption with Trust, Governance, and Strategic Impact<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">At Devoteam, we understand that successful AI adoption goes beyond building models; it\u2019s about <a href=\"https:\/\/devoteam.info\/be\/services\/cybersecurity\/\" target=\"_blank\" rel=\"noreferrer noopener\">building trust, security, and resilience<\/a> into every step of the journey.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With deep expertise in cloud, cybersecurity, data governance, and digital transformation, Devoteam is uniquely positioned to help organisations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Embed AI into existing enterprise governance structures, using best practices from NIST, ISO, SANS, and ENISA<\/li>\n\n\n\n<li>Build secure and compliant AI operating models, including monitoring, registries, and lifecycle controls<\/li>\n\n\n\n<li>Apply AI specific risk and ethics frameworks through ESG, privacy, and regulatory alignment<\/li>\n\n\n\n<li>Enable business leaders to drive innovation while remaining aligned with evolving laws and industry standards<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>We help organisations<\/em> adopt AI not just responsibly <em>but strategically. Because the greatest risk isn\u2019t using AI\u00a0 it\u2019s using it without governance.<\/em><\/p>\n\n\n\n<div class=\"wp-block-columns alignfull has-secondary-background-color has-background is-layout-flex wp-container-core-columns-is-layout-4b1fd674 wp-block-columns-is-layout-flex\" style=\"margin-top:var(--wp--preset--spacing--medium);margin-bottom:var(--wp--preset--spacing--medium)\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-container-core-column-is-layout-969dc29d wp-block-column-is-layout-flow\" style=\"padding-top:0;padding-right:0;padding-bottom:0;padding-left:0;flex-basis:100%\">\n<p class=\"has-text-align-left has-main-color has-text-color has-medium-font-size wp-container-content-42c95ffb wp-block-paragraph\"><strong>Secure AI, Sustainable Value: Your CISO\u2019s Guide to AI Risk Management<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"729\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1-1024x729.png\" alt=\"Secure-AI-Sustainable-Value. cover\" class=\"wp-image-582077\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1-1024x729.png 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1-300x213.png 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1-768x546.png 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1-1536x1093.png 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/04\/CyberTrust_Ebook_Secure-AI-Sustainable-Value_mockup_open-1.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-stretch has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group has-main-color has-secondary-background-color has-text-color has-background has-link-color wp-elements-2 is-layout-flow wp-container-core-group-is-layout-23162e80 wp-block-group-is-layout-flow\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--medium);padding-right:var(--wp--preset--spacing--large);padding-bottom:var(--wp--preset--spacing--medium);padding-left:var(--wp--preset--spacing--large)\">\n<div class=\"wp-block-group is-vertical is-content-justification-left is-layout-flex wp-container-core-group-is-layout-4a15ae55 wp-block-group-is-layout-flex\" style=\"min-height:0px\">\n<p class=\"has-medium-small-font-size wp-block-paragraph\">Get your free Whitepaper if you want to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Learn <\/strong>to identify and manage unique AI security challenges<\/li>\n\n\n\n<li><strong>Implement<\/strong> Devoteam&#8217;s AI Cyber Trust Cube &#8211; our framework for trusted and secure AI deployments<\/li>\n\n\n\n<li><strong>Align<\/strong> AI with your organisation\u2019s sustainability goals<\/li>\n\n\n\n<li><strong>Gain<\/strong> insights from Devoteam\u2019s leading AI security experts.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-5446dffb wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/devoteam.info\/whitepaper\/ai-risk-management-guide\/\">Download the Whitepaper<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>As\u00a0Artificial Intelligence\u00a0evolves into an integral part of productivity, business process optimisation, and digital transformation, organisations should begin to consider not just if AI should be used, but how to use it responsibly, securely, and ethically. The answer lies less in creating standalone oversight structures and more in adapting and extending existing governance, risk, and compliance [&hellip;]<\/p>\n","protected":false},"featured_media":257313,"template":"","categories":[890,1061],"tags":[],"industry":[],"class_list":["post-720070","expert-view","type-expert-view","status-publish","has-post-thumbnail","hentry","category-ai","category-cybersecurity"],"acf":[],"cards":"\n\t<div class=\"single-post-card\">\n\n\t\t<figure class=\"wp-block-post-featured-image\"><a href=\"https:\/\/devoteam.info\/be\/expert-view\/ai-governance-and-risk\/\" target=\"_self\" ><img width=\"1920\" height=\"1280\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Operationalising AI Governance and Risk Through Existing Enterprise Structures\" style=\"aspect-ratio:4\/3;width:100%;object-fit:cover;\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645.jpg 1920w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645-300x200.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645-1024x683.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645-768x512.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/12\/GettyImages-1273823645-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/a><\/figure>\n\n\t\t\n\t\t<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-43282307 wp-block-group-is-layout-flex\">\n\t<p style=\"font-style:normal;font-weight:700\" class=\"has-link-color wp-elements-4 wp-block-lp-post-type has-text-color has-primary-color has-small-font-size\">Expert View<\/p>\n\n\t\t\n\t\t<h3 style=\"font-style:normal;font-weight:400\" class=\"wp-block-post-title has-base-font-size\"><a href=\"https:\/\/devoteam.info\/be\/expert-view\/ai-governance-and-risk\/\" target=\"_self\" >Operationalising AI Governance and Risk Through Existing Enterprise Structures<\/a><\/h3><\/div>\n\t\t\n\t<\/div>\n\n","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Operationalising AI Governance and Risk Through Existing Enterprise Structures | Devoteam<\/title>\n<meta name=\"description\" content=\"Learn how to implement AI governance through existing enterprise structures. 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