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GreenRope

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

B-
AITS IA
Privacy Rating by TrustThis — Verified Seal

AI Trust Summary

AI Training
Criterion not evaluated
Data Retention
Retention policy documented
Opt-out
Implicit opt-out (company does not train with data)
AIPrivacy
B-
BasePrivacy
B+
  • In AI: it does not mention commitments against bias, which may impact the ethics of algorithm use.
  • In Core Privacy: it does not document safeguards for sensitive data, increasing privacy risks for those who contract its services.

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Attention Points in AI (2)

AI criteria that require attention. Buy the Premium Analysis to see all 2 criteria.

  • GreenRope
  • Does not mention categories of sensitive data or specific safeguards, which is concerning.
  • DPA is not available to customers, compromising compliance with GDPR.
  • Requiring the inclusion of a DPA can mitigate legal risks.

Ethical AI principles and anti-bias measures not documented

The policy mentions responsible AI use, but does not address commitments against bias and discrimination, which is concerning.

AI decision contestation mechanism not available

The Anti-Spam Policy describes an appeal process, but does not offer a clear mechanism to challenge automated AI decisions.

Source: vendor public documents

Compliances in AI (3)

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

  • GreenRope
  • The data controller's identity is clearly stated, increasing trust.
  • Processing purposes are detailed by data category, ensuring transparency.
  • These practices facilitate due diligence and strengthen customer relationships.

AI data retention policy clearly documented

The policy clearly addresses the retention of contact data and marketing interactions, offering users control over their data.

AI features clearly identified with their purposes

The policy clearly describes the available AI functionalities, helping customers understand how their contact data is used.

Use of artificial intelligence clearly disclosed in policies

The policy explicitly states the use of Artificial Intelligence, increasing transparency about how contact data is processed.

Source: vendor public documents

Highlights in Privacy (3)

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

Sensitive data processing without additional documented safeguards

The policy does not mention categories of sensitive data or specific safeguards, which is concerning for privacy.

Privacy contact channel available

The policy provides a specific channel for the DPO, facilitating communication regarding contact data and marketing interactions.

Data controller identity and contact clearly disclosed

The policy provides clear information about the company's identity, increasing transparency and customer trust.

Source: vendor public documents

Critical Alerts

  • Acordo de Processamento de Dados (DPA) não disponível para clientes: Importante para garantir que clientes tenham segurança jurídica em relação ao tratamento de seus dados..
  • Princípios de IA ética e medidas anti-viés não documentados: Crucial para garantir que o uso de IA não prejudique a experiência do cliente.

Conformance analysis (20)

Premium Feature
AITS Criterion 11
Compliant

Contact channel for privacy issues available

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 10
Compliant

Data controller's identity and contact clearly stated

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 9
Compliant

Roles of data controller and processor clearly defined

Reference: ISO/IEC 27701 (7.3)

Source: vendor public documents

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Understanding Privacy and Security in GreenRope Marketing Automation

Transparency in Data Control

GreenRope excels in providing clear information regarding the identity and contact details of the data controller. This transparency is crucial for users who are concerned about data privacy, as it allows them to know exactly who is responsible for their data. With an OPTI Base (Privacy) Score of 72%, users can feel more secure knowing that the purposes for data processing are clearly categorized. This means that users can easily understand how their data will be used, which is essential for compliance with regulations like GDPR and LGPD. By having this information readily available, users can make informed decisions about their data and its usage.

Clear Data Processing Purposes

Another strength of GreenRope lies in its clear listing of data processing purposes by category. This feature ensures that users are aware of how their personal information is being utilized, which is a fundamental requirement under privacy laws such as GDPR. By categorizing data usage, GreenRope helps users maintain control over their data and aligns with the principles of transparency and accountability. Users should regularly review these categories to ensure they are comfortable with the data usage practices and can opt-out if necessary.

Lack of Safeguards for Sensitive Data

Despite its strengths, GreenRope has notable weaknesses, particularly regarding the treatment of sensitive data. The absence of documented safeguards for sensitive data processing raises significant privacy risks for users. This lack of protection could lead to unauthorized access or misuse of sensitive information, which is a critical concern under GDPR and LGPD. Users should be cautious and consider limiting the amount of sensitive data they share with the platform until more robust safeguards are implemented.

Absence of Data Processing Agreement (DPA)

Another area of concern is the unavailability of a Data Processing Agreement (DPA) for clients. A DPA is essential for ensuring that data processing complies with legal requirements and protects user rights. Without a DPA, users may find it challenging to hold GreenRope accountable for any data breaches or mishandling of personal information. Users are advised to inquire about the possibility of a DPA and consider alternative platforms that offer this crucial legal protection if GreenRope cannot provide one.

Ethical AI Practices Not Documented

GreenRope's lack of documentation regarding ethical AI practices and anti-bias measures is another significant weakness. This omission can impact the ethical use of algorithms, potentially leading to biased outcomes in marketing automation. Users should be aware of this risk, especially if they rely heavily on AI-driven features. It is advisable to monitor the outcomes generated by these algorithms and provide feedback to GreenRope regarding any concerns about bias or fairness in data processing.

Practical Steps for Enhanced Privacy Protection

To mitigate the risks associated with the weaknesses identified, users can take several practical steps. First, regularly review and adjust privacy settings within the GreenRope platform to limit data sharing. Users should also consider implementing additional data protection measures, such as encryption and access controls, to safeguard sensitive information. Lastly, exploring alternative marketing automation platforms that prioritize privacy and offer comprehensive safeguards may be a prudent choice for those with heightened privacy concerns. By staying informed and proactive, users can enhance their privacy and security while utilizing GreenRope's marketing automation capabilities.

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Source: vendor public documents

Analyzed Sources

Public documents used in the audit of GreenRope:

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