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Sender

Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 26 Feb 2026

D-
AITS IA

AI Trust Summary

AI Training
Possibly (generic mention of service improvement)
Data Retention
Not specified in documentation
Opt-out
Only generic controls (cookies, ads)
AIPrivacy
D-
BasePrivacy
B-
  • In AI: it does not document a mechanism for contesting automated decisions, which may impact user trust in email campaigns.
  • In Core Privacy: it does not specify retention periods for AI data, creating uncertainties about customer information management.

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Attention Points in AI (3)

AI criteria that require attention. Buy the Premium Analysis to see all 3 criteria.

  • Sender
  • Does not mention the possibility of contesting automated decisions, which may affect user trust.
  • Does not specify retention periods for AI data, creating uncertainties in information management.
  • Requires a clause documenting mechanisms for contesting and data retention.

AI data retention (prompts and responses) is not disclosed

The policy does not specify retention periods for AI data, which may create uncertainties about the management of email addresses and campaign interactions.

Ethical AI principles and anti-bias measures not documented

There is no mention of ethical AI principles, which may raise concerns about the responsible use of data in email campaigns.

AI decision contestation mechanism not available

The policy does not mention the possibility of contesting automated decisions, which may impact user trust in email campaigns.

Source: vendor public documents

Compliances in AI (3)

AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.

  • Sender
  • Documents data processing purposes, connecting emails and interactions to clear objectives.
  • Defines controller and processor roles, ensuring transparency in responsibilities.
  • These practices strengthen due diligence and trust in data management.

Automated AI decisions explained in an understandable way

The Privacy Policy details factors analyzed in automated decisions, promoting transparency in campaign interactions.

Use of artificial intelligence clearly disclosed in policies

The policy mentions automated systems, but does not explicitly state the use of AI, which may generate distrust when sending email campaigns.

Policy on data use for AI training clearly stated

The policy mentions the use of data to improve the website, but does not specify whether email addresses are used to train AI, creating uncertainties.

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 clarifies that Sender is a data processor when the client is the controller, ensuring transparency in responsibilities.

Data controller identity and contact clearly disclosed

The policy identifies UAB Sender.lt as responsible, facilitating contact for issues related to email addresses and campaign interactions.

Processing purposes clearly listed by data category

The policy connects email addresses and campaign interactions with their purposes, such as authentication and communication, promoting clarity.

Source: vendor public documents

Critical Alerts

  • Retenção de prompts e respostas de IA sem prazo definido: Crítico para a conformidade e gestão de dados em campanhas de e-mail..
  • Princípios de IA ética e medidas anti-viés não documentados: Crucial para a confiança e responsabilidade no uso de dados em campanhas.

Conformance analysis (20)

Premium Feature
AITS Criterion 9
Compliant

Data controller and processor roles clearly defined

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 10
Compliant

Identity and contact of the data controller clearly informed

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 12
Compliant

Processing purposes clearly listed by data category

Reference: ISO/IEC 27701 (7.3)

Source: vendor public documents

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Maximize Your Email Marketing with Sender: Privacy and AI Governance Insights

Clear Data Processing Purposes

Sender excels in transparency regarding its data processing purposes. Each category of data collected is clearly listed, which is crucial for users who want to understand how their information is utilized. This clarity aligns with GDPR and LGPD requirements, ensuring that users are informed about the specific reasons for data collection. With an AITS Privacy Score of 67%, Sender demonstrates a commitment to user rights, making it easier for businesses to comply with privacy regulations. Users can feel more secure knowing that their data is handled with clear intentions, which can enhance trust in email marketing campaigns.

Defined Roles of Data Controller and Processor

Another strength of Sender is the clear definition of roles as a data controller and processor. This distinction is vital for users, as it outlines who is responsible for data management and compliance. Understanding these roles helps users navigate their responsibilities under privacy laws like GDPR and ISO 27701. By knowing who handles their data, users can better manage their privacy expectations and ensure that their email marketing practices align with legal standards. This clarity can also facilitate smoother communication with stakeholders regarding data governance.

Lack of Mechanism for Contesting AI Decisions

Despite its strengths, Sender has notable weaknesses, particularly in its AI governance. The absence of a mechanism for contesting automated decisions can be a significant concern for users. This gap means that if an email campaign's targeting or content is determined by AI, users may have limited recourse to challenge these decisions. With an AITS AI Score of 29%, this weakness indicates a lack of robust ethical AI practices, which could undermine user trust. Users should be aware of this limitation and consider how it might impact their campaigns, especially in sensitive contexts where automated decisions could affect customer engagement.

Undefined Retention Periods for AI Data

Another critical weakness is the lack of specified retention periods for AI prompts and responses. Without clear guidelines on how long data is stored, users may face uncertainties regarding data management and compliance with privacy laws. This ambiguity can lead to potential risks, especially if data is retained longer than necessary. To mitigate this risk, users should regularly audit their data management practices and ensure that they are not retaining unnecessary information. Implementing data minimization strategies can help users align with GDPR and LGPD principles, reducing exposure to potential compliance issues.

Ethical AI Principles and Anti-Bias Measures

Sender also falls short in documenting ethical AI principles and anti-bias measures. This absence raises concerns about the fairness and accountability of AI-driven email marketing strategies. Users should be cautious about relying solely on automated systems without understanding how these systems are designed to prevent bias. To address this, users can actively seek out additional resources or training on ethical AI practices and consider supplementing Sender's capabilities with third-party tools that emphasize ethical standards. This proactive approach can help ensure that marketing strategies are both effective and responsible.

Practical Guidance for Users

To maximize the benefits of using Sender while mitigating its weaknesses, users should take specific actions. First, regularly review and update privacy settings within the platform to ensure compliance with relevant regulations. Enable features that allow for greater transparency in data handling and user consent. Additionally, consider implementing a data retention policy that aligns with GDPR and LGPD guidelines, specifying how long data will be kept and when it will be deleted. Finally, stay informed about best practices in AI governance and ethical marketing to ensure that your campaigns are not only compliant but also trustworthy. By taking these steps, users can enhance their email marketing efforts while safeguarding their customers' privacy rights.

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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