

Vtiger
Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 21 Feb 2026
AI Trust Summary
- •In AI: it does not document AI ethics principles, which can lead to discrimination risks and affect the contracting company's reputation.
- •In Core Privacy: it ensures the definition of data controller and processor roles, guaranteeing clear responsibilities in customer data processing.
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Attention Points in AI (2)
AI criteria that require attention. Buy the Premium Analysis to see all 2 criteria.
- •Vtiger
- •does not define retention periods for sales interaction data, which can impact data management.
- •does not mention commitments to ethical AI practices, exposing the company to discrimination risks.
- •it is necessary to demand contractual clauses that address these critical points.
AI data retention (prompts and responses) is not disclosed
The policy does not state retention periods for sales contact and interaction data, which can impact compliance and data management.
Ethical AI principles and anti-bias measures not documented
The absence of commitments to ethical AI practices can result in discrimination and social harm, affecting the company's reputation.
Source: vendor public documents
Compliances in AI (3)
AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.
- •Vtiger
- •documents data controller and processor roles, ensuring clarity in responsibilities.
- •provides a Data Processing Agreement (DPA) for customers, ensuring compliance with data protection legislation.
- •these practices strengthen due diligence and trust in data management.
AI training opt-out control available
The policy allows users to opt out of having their contact data used for AI training, albeit implicitly.
AI features clearly identified with their purposes
The policy mentions functionalities that use AI for personalization but does not detail how each impacts contact data.
Automated AI decisions explained in an understandable way
The policy provides information on how automated decisions are made but lacks specific details about the factors involved.
Source: vendor public documents
Highlights in Privacy (3)
Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.
Data controller and processor roles clearly defined
The policy identifies Vtiger as responsible for processing contact data, ensuring clarity in responsibilities.
Privacy contact channel available
The policy offers specific channels for privacy issues, facilitating the exercise of customer rights regarding their contact data.
Processing purposes clearly listed by data category
The policy connects contact data categories with their purposes, ensuring clarity on data usage.
Source: vendor public documents
Critical Alerts
- •Princípios de IA ética e medidas anti-viés não documentados: É crucial que a empresa demonstre responsabilidade no uso de dados de contatos e interações de vendas..
- •Aspecto de privacidade não mencionado na documentação do fornecedor: Ausência de informação pública
Conformance analysis (20)
Retention of AI prompts and responses without a defined period
Reference: ISO/IEC 42001 (8.2) + ISO/IEC 27701 (7.4.6)
Opt-out control for AI training available
Reference: ISO/IEC 42001 (8.3) + ISO/IEC 29100 + EU AI Act
Ethical AI principles and anti-bias measures not documented
Reference: ISO/IEC 42001 (6.1) + ISO/IEC TR 24028 + EU AI Act (Art. 9)
Source: vendor public documents
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Vtiger CRM: Privacy and AI Governance Insights
Strengths of Vtiger in Privacy Management
Vtiger excels in establishing clear roles for data controllers and processors, which is crucial for compliance with regulations like GDPR and LGPD. This clarity ensures that both users and customers understand who is responsible for data handling, thereby minimizing the risk of data breaches and enhancing trust. The AITS Privacy Score of 78% reflects this strength, indicating a robust framework for data governance. Furthermore, Vtiger categorizes the purposes of data processing, which allows users to see exactly how their data will be utilized. This transparency is essential for informed consent and aligns with best practices in data privacy.
In addition, Vtiger provides a Data Processing Agreement (DPA) for enterprise clients. This document outlines the responsibilities of both parties regarding data protection, offering legal safeguards that can protect your organization from potential liabilities. By ensuring that a DPA is in place, users can confidently engage with Vtiger, knowing that their data is being handled in compliance with relevant laws and regulations.
Clear Data Processing Purposes
The categorization of data processing purposes is another strength of Vtiger. This feature allows users to understand the specific ways their data will be used, which is essential for compliance with privacy regulations like GDPR. By having this information readily available, users can make informed decisions about their data sharing practices. It also helps organizations to establish a clear data governance strategy, which is vital for maintaining customer trust and ensuring compliance with legal obligations.
Weaknesses in Vtiger's AI Governance
Despite its strengths in privacy management, Vtiger has notable weaknesses in its AI governance. The AITS AI Score of 42% highlights significant gaps in the documentation of ethical AI principles. This lack of transparency can lead to risks such as discrimination and bias in AI-driven decisions. Users should be aware that without clear ethical guidelines, the AI features of Vtiger may not align with their organization's values or compliance requirements.
Moreover, Vtiger retains prompts and responses generated by its AI without a defined retention period. This practice raises concerns about data privacy and user consent, as users may not be aware of how long their data is stored or how it is used. Organizations should consider this when evaluating the risks associated with using Vtiger's AI features, as prolonged data retention can lead to potential breaches of privacy regulations.
Lack of Ethical AI Documentation
The absence of documented ethical AI principles is a significant concern for users considering Vtiger. This gap can expose organizations to reputational risks, especially if AI systems inadvertently perpetuate bias or discrimination. To mitigate these risks, users should engage with Vtiger to seek clarification on their AI governance practices. Additionally, organizations may want to implement their own oversight mechanisms to ensure that AI outputs align with ethical standards and do not adversely affect their customers.
Practical Guidance for Vtiger Users
To maximize the benefits of Vtiger while minimizing risks, users should take proactive steps in managing their data settings. First, ensure that the Data Processing Agreement (DPA) is in place and review its terms to understand your rights and responsibilities. This agreement is crucial for compliance with GDPR and LGPD, as it outlines how Vtiger will handle your data.
Additionally, users should regularly review the settings related to AI features. If Vtiger allows for customization of AI functionalities, consider disabling features that retain prompts and responses indefinitely. Instead, opt for settings that allow for data minimization, ensuring that only necessary data is retained for the shortest time possible. This practice not only enhances privacy but also aligns with the principles of data protection regulations.
Exploring Alternatives and Enhancements
If the weaknesses in Vtiger's AI governance are concerning, users may want to explore alternative CRM solutions that offer stronger ethical AI documentation and transparency. Researching competitors that prioritize ethical AI practices can provide organizations with options that better align with their values. Additionally, consider integrating third-party tools that specialize in AI ethics and bias mitigation, which can complement Vtiger's offerings and enhance overall governance.
In conclusion, while Vtiger presents strong privacy management capabilities, users must remain vigilant regarding its AI governance shortcomings. By understanding these strengths and weaknesses, users can make informed decisions that protect their data and align with their organizational values.
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Source: vendor public documents
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Scope & Limitations
TrustThis/AITS assessments are based exclusively on publicly available information, duly cited with date and URL, following the AITS methodology (privacy & AI transparency).
The content is indicative in nature, intended for screening and comparison, not replacing internal audits.
TrustThis/AITS does not perform invasive tests, does not access vendor technology environments and does not process customer personal data. Conclusions reflect only the vendor's public communication at the date of collection.
Source: vendor public documents






