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Salesforce Account Engagement

Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 21 Feb 2026

D+
AITS IA

AI Trust Summary

AI Training
Criterion not evaluated
Data Retention
Not specified in documentation
Opt-out
Not available
AIPrivacy
D+
BasePrivacy
A+
  • Regarding AI: it does not mention an opt-out option for data use in AI training, limiting customer control.
  • Regarding Core Privacy: it clearly documents the purposes of data processing, ensuring transparency in user interactions.

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Attention Points in AI (3)

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

  • Salesforce Account Engagement
  • Does not mention the possibility of opting out of data use for AI training, limiting customer control.
  • Does not specify retention periods for AI inputs/outputs, which can create uncertainty.
  • It is recommended to require contractual clauses addressing these issues.

AI data retention (prompts and responses) is not disclosed

The policy mentions collection of usage data, but does not specify retention periods for engagement data, which can create uncertainty.

AI training opt-out option not available

The policy does not mention the possibility of opting out of the use of engagement data for AI training, limiting customer control.

AI decision contestation mechanism not available

The policy does not offer a clear mechanism to contest automated decisions, which may limit customer rights.

Source: vendor public documents

Compliances in AI (3)

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

  • Salesforce Account Engagement
  • The policy clearly identifies Salesforce as the data controller, essential for accountability in data management.
  • Explicitly provides a Data Processing Addendum (DPA), ensuring compliance with LGPD and GDPR.
  • These practices strengthen due diligence and trust in data management.

Use of artificial intelligence clearly disclosed in policies

The policy explicitly states the use of artificial intelligence to process engagement data, promoting transparency in the company's practices.

Commitments to ethical AI and anti-bias measures clearly documented

The policy mentions responsible AI practices, indicating a commitment to ethics in the use of engagement data.

AI features clearly identified with their purposes

The policy mentions the use of AI to process engagement data, but does not detail specific functionalities, which can create uncertainty.

Source: vendor public documents

Highlights in Privacy (3)

Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.

Processing purposes clearly listed by data category

The policy connects engagement data categories and customer interactions with specific purposes, ensuring transparency for users.

Data controller and processor roles clearly defined

The policy clearly identifies Salesforce as the data controller, essential for accountability in engagement data management.

Privacy contact channel available

The policy provides a specific channel for privacy inquiries, facilitating customer communication about their engagement data.

Source: vendor public documents

Critical Alerts

  • Retenção de prompts e respostas de IA sem prazo definido: Crucial para a conformidade e transparência na gestão de dados..
  • Mecanismo de contestação de decisões de IA não disponível: Crucial para garantir os direitos dos clientes em decisões automatizadas.

Conformance analysis (20)

Premium Feature
AITS Criterion 12
Compliant

Purposes of engagement data processing clearly listed

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 9
Compliant

Roles of data controller and processor clearly defined

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 11
Compliant

Contact channel for privacy issues available

Reference: ISO/IEC 27701 (7.3)

Source: vendor public documents

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Salesforce Account Engagement: Privacy and Security Insights for Marketing Automation

Transparency in Data Processing

Salesforce Account Engagement excels in providing clear documentation regarding the purposes of data processing. With an impressive AITS Privacy Score of 94%, users can feel confident that their data is being handled transparently. The platform outlines specific engagement objectives, which helps users understand how their data will be utilized. This clarity is crucial for compliance with regulations such as GDPR and LGPD, ensuring that users' rights are respected and upheld. By knowing the exact reasons for data collection, users can make informed decisions about their engagement strategies.

Defined Roles in Data Management

Another strength of Salesforce Account Engagement is the clear delineation of data controller and processor roles. This clarity is essential for businesses that need to ensure compliance with privacy laws. Users can rest assured that their data is managed responsibly, with defined responsibilities that mitigate risks associated with data mishandling. The availability of a Data Processing Agreement (DPA) for enterprise clients further reinforces this commitment to privacy, allowing users to establish a formal understanding of data handling practices. This is particularly important for organizations that must adhere to stringent privacy standards.

Lack of Opt-Out for AI Training

Despite its strengths, Salesforce Account Engagement has notable weaknesses, particularly concerning AI data usage. The absence of an opt-out option for AI training means that users have limited control over how their data is used to enhance AI functionalities. This can be concerning for users who prioritize data privacy and wish to maintain control over their information. The AITS AI Score of 33% reflects these shortcomings, indicating that users should be cautious about how their data may contribute to AI model training without their explicit consent.

Undefined Retention Policies for AI Data

Another significant weakness is the undefined retention period for AI prompts and responses. Users should be aware that their interactions may be stored indefinitely, which raises potential privacy concerns. Without clear retention policies, users might find it challenging to manage their data effectively. To mitigate this risk, it is advisable for users to regularly review their data usage settings and inquire about data retention practices with Salesforce. Understanding how long data is kept can help users make better decisions regarding their engagement with the platform.

Practical Steps for Enhanced Privacy

To enhance privacy while using Salesforce Account Engagement, users should take proactive measures. First, review the privacy settings within the platform to ensure that data sharing preferences align with your organization's privacy policies. Additionally, consider limiting the amount of personal data shared during interactions to minimize exposure. Users should also stay informed about updates to the platform's privacy practices and engage with Salesforce support for any clarifications regarding data handling.

Exploring Alternatives for AI Governance

Given the weaknesses related to AI data usage, users may want to explore alternative marketing automation platforms that offer stronger AI governance features. Look for solutions that provide opt-out options for AI training and have defined data retention policies. Evaluating other platforms against the AITS Privacy and AI Scores can help users find a solution that better aligns with their privacy expectations. Ultimately, making an informed choice will empower users to engage in marketing automation while safeguarding their data rights.

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Source: vendor public documents

Analyzed Sources

Public documents used in the audit of Salesforce Account Engagement:

Evidence, confirmations and contestations

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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