{"id":20985,"date":"2026-10-07T16:46:20","date_gmt":"2026-10-07T11:16:20","guid":{"rendered":"https:\/\/www.vtiger.com\/blog\/?p=20985"},"modified":"2026-10-07T16:46:21","modified_gmt":"2026-10-07T11:16:21","slug":"can-you-trust-ai","status":"publish","type":"post","link":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/","title":{"rendered":"Can You Trust AI With Your CRM Data?\u00a0"},"content":{"rendered":"\n<p>AI is changing what businesses expect from CRM software.<\/p>\n\n\n\n<p>Instead of simply storing customer information, modern CRM systems can summarize conversations, identify sales signals, recommend next actions, generate customer communications, predict outcomes, and automate parts of business processes.<\/p>\n\n\n\n<p>As AI becomes more capable, an important question emerges:<\/p>\n\n\n\n<p><strong>Can you trust AI with your CRM data and customer relationships?<\/strong><\/p>\n\n\n\n<p>The answer is not simply yes or no.<\/p>\n\n\n\n<p>AI can be useful and safe with CRM data when the surrounding system provides appropriate security, privacy controls, permissions, governance, validation, monitoring, and human oversight. The question is therefore less about whether AI itself is trustworthy and more about how AI is designed, what it can access, and what it is allowed to do.<\/p>\n\n\n\n<p>This becomes extremely important as businesses move from AI-generated insights toward AI agents that can perform multi-step tasks and take action.<\/p>\n\n\n\n<p><a href=\"https:\/\/nvlpubs.nist.gov\/nistpubs\/ai\/NIST.AI.100-1.pdf\">NIST\u2019s AI Risk Management Framework<\/a> treats trustworthy AI as a combination of security, reliability, transparency, privacy, and fairness.&nbsp;<\/p>\n\n\n\n<p>So, what does trustworthy AI look like inside a CRM?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Does Trustworthy AI in CRM Actually Mean?&nbsp;<\/h2>\n\n\n\n<p>Trustworthy AI in CRM means that AI operates within clearly defined boundaries around data, permissions, privacy, actions, accountability, and human control.<\/p>\n\n\n\n<p>A business should be able to answer questions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What CRM data can the AI access?<\/li>\n\n\n\n<li>Which users can access specific AI capabilities?<\/li>\n\n\n\n<li>What information and context does AI use?<\/li>\n\n\n\n<li>Why did AI produce a particular recommendation?<\/li>\n\n\n\n<li>What actions can AI perform?<\/li>\n\n\n\n<li>Which actions require human approval?<\/li>\n\n\n\n<li>How is sensitive information protected?<\/li>\n\n\n\n<li>Are AI-generated actions recorded?<\/li>\n\n\n\n<li>Can admins control AI usage?<\/li>\n\n\n\n<li>Can a human stop or override an AI process?<\/li>\n<\/ul>\n\n\n\n<p>These questions matter more as AI moves across sales, marketing, customer service, and other business applications.<\/p>\n\n\n\n<p>This also connects with the broader idea of an <a href=\"https:\/\/www.vtiger.com\/blog\/ai-native-crm-vs-ai-powered-crm\/\">AI-native CRM<\/a>. AI-native architecture is not simply about adding more AI features. It also considers how AI interacts with data, context, workflows, permissions, and actions.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Trust Matters More as AI Takes on More CRM Work<\/h2>\n\n\n\n<p>Traditional CRM systems generally operate according to rules, workflows, and actions configured by users. AI can interpret natural language, recognize patterns, combine information from different records, generate content, make recommendations, and increasingly execute tasks.&nbsp;<\/p>\n\n\n\n<p>An AI agent that automatically changes a customer record or triggers a workflow has a more direct impact on business operations. This is why the more authority AI receives, the more important security, permissions, governance, and auditability become.<\/p>\n\n\n\n<p>Vtiger&#8217;s discussion of <a href=\"https:\/\/www.vtiger.com\/blog\/traditional-crm-vs-ai-crm\/\">traditional CRM vs. AI CRM<\/a> highlights that successful AI adoption requires more than turning on AI features.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI CRM Security Starts With Data Access<\/h2>\n\n\n\n<p>CRM systems can contain some of a company&#8217;s most valuable information: customer contact details, sales conversations, purchase history, support records, contracts, financial information, and internal business data.<\/p>\n\n\n\n<p>Giving AI access to this information without appropriate controls can create unnecessary risk. The first principle of AI CRM security should therefore be simple:<\/p>\n\n\n\n<p>AI should not have access to information that the user or process is not authorized to access<strong>. <\/strong>This means AI should operate within the same security boundaries that govern the underlying CRM.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Role-Based Access Control<\/h3>\n\n\n\n<p>Role-based access control determines what different users can see and do. For example, a sales rep may have access to their own opportunities but not sensitive financial records belonging to another department.<\/p>\n\n\n\n<p>An AI interface should not bypass that restriction simply because a user asks a question in natural language.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Record-Level Security<\/h3>\n\n\n\n<p>Access may also need to be restricted to particular records. A regional salesperson, for example, may only be authorized to view accounts assigned to their territory.<\/p>\n\n\n\n<p>&nbsp;If AI generates a customer summary, it should use only the records available within that user&#8217;s permitted scope.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Field-Level Security<\/h3>\n\n\n\n<p>Some information requires additional protection even within an accessible record. A user may be allowed to view a customer account but not certain sensitive fields within it.<\/p>\n\n\n\n<p>This becomes especially important when AI generates summaries because it can combine information from several fields into a single response.<\/p>\n\n\n\n<p>Vtiger&#8217;s <a href=\"https:\/\/www.vtiger.com\/blog\/crm-security\/\">CRM security <\/a>blog discusses role-based access, field-level controls, data masking, encryption, authentication, and audit trails as components of CRM security.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI CRM Privacy: What Happens to Customer Data?<\/h2>\n\n\n\n<p>Security controls answer who can access information.<\/p>\n\n\n\n<p>Privacy raises another set of questions: how is that information processed and handled?<\/p>\n\n\n\n<p>Before enabling an AI capability, businesses should understand:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What data is sent to the AI model?<\/li>\n\n\n\n<li>Where is that data processed?<\/li>\n\n\n\n<li>How long is it retained?<\/li>\n\n\n\n<li>Is it used for model training?<\/li>\n\n\n\n<li>Who can access AI-generated outputs?<\/li>\n\n\n\n<li>How is personally identifiable information handled?<\/li>\n\n\n\n<li>What happens when an external AI service is involved?<\/li>\n<\/ul>\n\n\n\n<p>These questions matter because CRM data may contain personally identifiable information, confidential communications, commercial information, and other sensitive details.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Use Only the Data the Task Requires<\/h3>\n\n\n\n<p>More data does not automatically make an AI response better.<\/p>\n\n\n\n<p>Suppose an AI system is generating a response to a support case. It may need the case history, relevant product information, and previous customer interactions.<\/p>\n\n\n\n<p>It may not need unrelated financial or personal information stored elsewhere in the CRM.<\/p>\n\n\n\n<p>This is the principle of <strong>data minimization<\/strong>: give the AI only the information it needs for the task, not unrestricted access to everything.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Protect Sensitive Information<\/h3>\n\n\n\n<p>Businesses can also use controls such as data masking and restricted access to reduce unnecessary exposure of sensitive information.<\/p>\n\n\n\n<p>This becomes particularly important when CRM data is sent to external AI models or connected AI services.<\/p>\n\n\n\n<p>The objective is not to prevent AI from using customer context. It is to ensure that AI receives appropriate context rather than unrestricted data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI Permissions Should Follow CRM Permissions<\/h2>\n\n\n\n<p>An AI interface should never become a backdoor into CRM information.<\/p>\n\n\n\n<p>Imagine a user asks: \u201cShow me the complete history of this customer.&#8221;<\/p>\n\n\n\n<p>The AI should return only the information that the user is authorized to see.<\/p>\n\n\n\n<p>The same principle applies when AI takes action. Depending on its configuration, an AI agent may be able to create records, tasks, meetings, and send messages. Each action should be governed by appropriate permissions and business policies.&nbsp;<\/p>\n\n\n\n<p>This is particularly important as businesses move toward <a href=\"https:\/\/www.vtiger.com\/blog\/what-is-agentic-crm\/\">AI agents in CRM<\/a>. Unlike a basic assistant that responds to a prompt, an agent may work through multiple steps and execute actions to achieve a defined goal.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Managing Hallucinations and Incorrect AI Outputs<\/h2>\n\n\n\n<p>Generative AI can produce responses that sound convincing but contain incorrect information.<\/p>\n\n\n\n<p>In CRM, an inaccurate output could appear in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Customer summaries<\/li>\n\n\n\n<li>Sales recommendations<\/li>\n\n\n\n<li>Forecasts<\/li>\n\n\n\n<li>Support responses<\/li>\n\n\n\n<li>Account research<\/li>\n\n\n\n<li>Internal reports<\/li>\n\n\n\n<li>Generated communications<\/li>\n<\/ul>\n\n\n\n<p>The risk increases when an incorrect output is automatically turned into an action.<\/p>\n\n\n\n<p>One way to reduce this risk is to ground AI in relevant business information rather than relying only on the model&#8217;s general knowledge.<\/p>\n\n\n\n<p>For example, an <a href=\"https:\/\/www.vtiger.com\/blog\/practical-ai-crm-use-cases\/\">AI CRM system<\/a> can use CRM records, customer interaction history, approved knowledge sources, and business tools.<\/p>\n\n\n\n<p>The next step is <strong>validation<\/strong>.<\/p>\n\n\n\n<p>AI may determine what it thinks should happen, but the CRM should determine whether that action is valid and permitted.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Human Oversight: Deciding What AI Should and Shouldn&#8217;t Do<\/h2>\n\n\n\n<p>Human oversight does not mean someone must <a href=\"https:\/\/www.vtiger.com\/blog\/ai-in-crm-automation\/\">manually approve every AI-generated task<\/a>. That would remove much of automation&#8217;s value. Instead, businesses can apply different levels of human involvement based on risk and consequence.<\/p>\n\n\n\n<p>For example, generating an internal meeting summary may require little oversight, sending a customer email containing pricing, contractual information, or a sensitive response may require review and changing critical customer information or triggering an external business process may require even stronger controls.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI-Specific Risks Businesses Should Watch<\/h2>\n\n\n\n<p>Traditional CRM security remains important, but AI introduces additional risks.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Prompt Injection<\/h3>\n\n\n\n<p>AI can process information from emails, documents, webpages, and other sources. These sources may contain instructions that attempt to influence how the AI behaves. This also creates the possibility of prompt-injection attacks, particularly when AI has access to tools or business systems.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Excessive Agency<\/h3>\n\n\n\n<p>An AI agent with too many permissions can potentially perform actions beyond what is necessary for its purpose. The solution is to restrict its tools, permissions, actions, and autonomy.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Leakage<\/h3>\n\n\n\n<p>Poorly implemented access controls can cause AI-generated responses to expose information that a user should not see. This is why AI must inherit or enforce appropriate CRM permissions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Agent Sprawl<\/h3>\n\n\n\n<p>As organizations create more AI agents, governance can become complicated. Multiple agents operating without centralized oversight can create conflicting actions, duplicate workflows, and unclear ownership.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI Usage and Cost<\/h3>\n\n\n\n<p>AI agents that continuously run tasks can also generate unpredictable usage. Governance can therefore include usage limits, budgets, rate limits, and monitoring at the agent or task level.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to Evaluate AI CRM Security and Governance<\/h2>\n\n\n\n<p>When evaluating an AI CRM, don&#8217;t focus only on the number of AI features.<\/p>\n\n\n\n<p>Ask how these features are controlled.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data security<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Does AI respect CRM permissions?<\/li>\n\n\n\n<li>Is access controlled at record and field levels?<\/li>\n\n\n\n<li>Can sensitive information be masked?<\/li>\n\n\n\n<li>Is customer data protected in transit and at rest?<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Governance<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Can administrators enable or disable AI capabilities?<\/li>\n\n\n\n<li>Can AI usage be monitored?<\/li>\n\n\n\n<li>Can organizations control AI budgets?<\/li>\n\n\n\n<li>Can businesses define approval requirements?<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Agent control<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Do AI agents have permissions?<\/li>\n\n\n\n<li>Can their actions be restricted?<\/li>\n\n\n\n<li>Can they be stopped?<\/li>\n\n\n\n<li>Can they escalate work to a human?<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Vtiger NextGen: Building AI With Governance at the Platform Level<\/h2>\n\n\n\n<p>As AI becomes part of more business processes, governance becomes harder when every AI capability is implemented as a separate layer with separate controls. A more integrated approach is to make data models, permissions, business rules, workflows, validation, and AI actions work together&nbsp;<\/p>\n\n\n\n<p>This is where Vtiger NextGen comes in. NextGen is an AI-native, metadata-driven, composable platform that allows businesses to build and run CRM and other applications around specific business needs on a unified data model. Its platform approach brings business data, workflows, AI capabilities, applications, and governed actions together rather than treating AI as an isolated feature.&nbsp;<\/p>\n\n\n\n<p>This idea matters for trustworthy AI because the same platform foundation can provide context for AI while also defining what AI can access and do.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.vtiger.com\/nextgen\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"273\" src=\"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-CTA-1024x273.png\" alt=\"\" class=\"wp-image-20986\" srcset=\"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-CTA-1024x273.png 1024w, https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-CTA-300x80.png 300w, https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-CTA-768x205.png 768w, https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-CTA.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Is AI safe to use with CRM data?<\/h3>\n\n\n\n<p>AI can be used safely with CRM data when appropriate access controls, privacy protections, data-handling policies, validation, monitoring, and governance are built into the AI and CRM architecture. The level of protection required depends on the data, use case, and organization<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How does AI CRM protect customer data?<\/h3>\n\n\n\n<p>AI CRM security can include role-based access control, record-and field-level permissions, data masking, authentication, encryption, tenant controls, privacy policies, and audit logging. AI should not provide users with information they are not authorized to access.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why is human oversight important in AI CRM?<\/h3>\n\n\n\n<p>Human oversight provides a control for decisions and actions where AI may lack important context or where an incorrect outcome could have significant consequences. The amount of oversight should depend on the risk associated with the task.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How can businesses reduce AI hallucinations in CRM?<\/h3>\n\n\n\n<p>Businesses can reduce the impact of hallucinations by grounding AI in relevant CRM data and approved knowledge, validating AI-generated actions, enforcing permissions, and requiring human review for high-impact use cases.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI is changing what businesses expect from CRM software. Instead of simply storing customer information, modern CRM systems can summarize conversations, identify sales signals, recommend next actions, generate customer communications, predict outcomes, and automate parts of business processes. As AI becomes more capable, an important question emerges: Can you trust AI with your CRM data&hellip;&nbsp;<a href=\"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/\" class=\"\" rel=\"bookmark\">.<span class=\"screen-reader-text\">Can You Trust AI With Your CRM Data?\u00a0<\/span><\/a><\/p>\n","protected":false},"author":49,"featured_media":20987,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","neve_meta_reading_time":"","_themeisle_gutenberg_block_has_review":false,"_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","footnotes":""},"categories":[6],"tags":[],"class_list":["post-20985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Can You Trust AI in CRM? Security, Privacy, and Governance<\/title>\n<meta name=\"description\" content=\"With AI gaining prominence in business activities, learn how privacy, security and governance can protect from data leakage and build trust. Explore Now!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can You Trust AI in CRM? Security, Privacy, and Governance\" \/>\n<meta property=\"og:description\" content=\"With AI gaining prominence in business activities, learn how privacy, security and governance can protect from data leakage and build trust. Explore Now!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Vtiger CRM Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/vtiger\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-07T11:16:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-1024x384.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"384\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Megha Adityan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@vtigercrm\" \/>\n<meta name=\"twitter:site\" content=\"@vtigercrm\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Megha Adityan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Can You Trust AI in CRM? Security, Privacy, and Governance","description":"With AI gaining prominence in business activities, learn how privacy, security and governance can protect from data leakage and build trust. Explore Now!","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/","og_locale":"en_US","og_type":"article","og_title":"Can You Trust AI in CRM? Security, Privacy, and Governance","og_description":"With AI gaining prominence in business activities, learn how privacy, security and governance can protect from data leakage and build trust. Explore Now!","og_url":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/","og_site_name":"Vtiger CRM Blog","article_publisher":"https:\/\/www.facebook.com\/vtiger","article_modified_time":"2026-10-07T11:16:21+00:00","og_image":[{"width":1024,"height":384,"url":"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2026\/10\/Can-you-Trust-AI-1024x384.png","type":"image\/png"}],"author":"Megha Adityan","twitter_card":"summary_large_image","twitter_creator":"@vtigercrm","twitter_site":"@vtigercrm","twitter_misc":{"Written by":"Megha Adityan","Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/#article","isPartOf":{"@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/"},"author":{"name":"Megha Adityan","@id":"https:\/\/www.vtiger.com\/blog\/#\/schema\/person\/67704b2319a01224ec0b8ba108cbf4d2"},"headline":"Can You Trust AI With Your CRM Data?\u00a0","dateModified":"2026-10-07T11:16:21+00:00","mainEntityOfPage":{"@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/"},"wordCount":1864,"publisher":{"@id":"https:\/\/www.vtiger.com\/blog\/#organization"},"articleSection":["Artificial Intelligence (AI)"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/","url":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/","name":"Can You Trust AI in CRM? Security, Privacy, and Governance","isPartOf":{"@id":"https:\/\/www.vtiger.com\/blog\/#website"},"dateModified":"2026-10-07T11:16:21+00:00","description":"With AI gaining prominence in business activities, learn how privacy, security and governance can protect from data leakage and build trust. Explore Now!","breadcrumb":{"@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.vtiger.com\/blog\/can-you-trust-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.vtiger.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Can You Trust AI With Your CRM Data?\u00a0"}]},{"@type":"WebSite","@id":"https:\/\/www.vtiger.com\/blog\/#website","url":"https:\/\/www.vtiger.com\/blog\/","name":"Vtiger CRM Blog","description":"Latest CRM Topics, Tips, Insights and Updates","publisher":{"@id":"https:\/\/www.vtiger.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.vtiger.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.vtiger.com\/blog\/#organization","name":"Vtiger","url":"https:\/\/www.vtiger.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.vtiger.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2023\/02\/vtiger-logo-only.png","contentUrl":"https:\/\/www.vtiger.com\/blog\/wp-content\/uploads\/2023\/02\/vtiger-logo-only.png","width":490,"height":399,"caption":"Vtiger"},"image":{"@id":"https:\/\/www.vtiger.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/vtiger","https:\/\/twitter.com\/vtigercrm"]},{"@type":"Person","@id":"https:\/\/www.vtiger.com\/blog\/#\/schema\/person\/67704b2319a01224ec0b8ba108cbf4d2","name":"Megha Adityan","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.vtiger.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/468b5b152cf4415a14ed43a575c91954?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/468b5b152cf4415a14ed43a575c91954?s=96&d=mm&r=g","caption":"Megha Adityan"},"url":"https:\/\/www.vtiger.com\/blog\/author\/megha-avtiger-com\/"}]}},"_links":{"self":[{"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/posts\/20985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/users\/49"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/comments?post=20985"}],"version-history":[{"count":3,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/posts\/20985\/revisions"}],"predecessor-version":[{"id":20990,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/posts\/20985\/revisions\/20990"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/media\/20987"}],"wp:attachment":[{"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/media?parent=20985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/categories?post=20985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vtiger.com\/blog\/wp-json\/wp\/v2\/tags?post=20985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}