Third Party Index

Snapshot 75777

Document
Trust center
URL
https://trust.marketingevolution.com/
Fetched
HTTP status
200
Content type
text/html; charset=utf-8
Fetch mode
static
Size
494626 bytes
SHA-256 (raw)
22e8be9f4d37ed17937cb1632169c8a2ca6822090e18fb0ed10514aff270656c
SHA-256 (normalized text)
d217455cb8e1ae0157d5e4d7b917e58994c6ddcb50674a5a05019ba58f5f5369

Normalized text

Scripts and page chrome removed; this is what change detection compares.

Trust Center
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Overview
Welcome to the Marketing Evolution Trust Center. Here, you'll find a comprehensive overview of our commitment to security, privacy, and responsible operations. Marketing Evolution, Inc., established in 2003, builds marketing intelligence systems that empower organizations to make faster, better decisions. Our core product, Mevo, is an agentic AI marketing operating system designed to unify data across various sources, providing predictive, privacy-first intelligence without relying on persistent Personally Identifiable Information (PII). Our mission is to combine human marketing judgment with predictive intelligence to enhance performance and decision confidence.
This Trust Center serves as a central resource, detailing the robust security and compliance program we maintain to protect your data and uphold industry best practices, applicable laws, regulations, and contractual obligations. We are dedicated to implementing, monitoring, and managing security controls, continually adapting to changes in the security landscape, product updates, regulatory requirements, and evolving frameworks.
Our commitment to trust is built on several key pillars:
Comprehensive Policies and Procedures: We maintain a robust set of policies, including an overarching Information Security Policy, which sets expectations and guidelines for information security across all internal and external systems and programs. This includes specific policies for data classification, data retention, acceptable use, and software development. All personnel are required to review and acknowledge these policies.
Data Protection: We understand the critical importance of confidential and sensitive data and are committed to protecting it to the appropriate classification level. This includes implementing security mechanisms to ensure only trusted and valid keys and certificates are accepted during sensitive data transmission.
Responsible AI Practices: As a leader in AI marketing solutions, we prioritize responsible AI. We have defined processes for ensuring our operators and practitioners are proficient in AI system performance and trustworthiness, adhering to relevant technical standards and certifications. Our personnel undergo mandatory training on responsible AI practices and system management during onboarding and annually thereafter. We also have established procedures for managing nonconformities in AI, including root-cause analysis and corrective actions.
Operational Security: We implement various security controls to safeguard our systems and data. This includes a documented code of conduct that eligible personnel acknowledge annually. We also employ mechanisms to obscure authentication feedback, such as usernames and passwords, during the authentication process where technically feasible.
This overview provides a high-level summary of our trust posture. We invite you to explore the rest of the Trust Center for more detailed information on specific controls, certifications, and practices.
Compliance
ISO/IEC 27001:2022
ISO/IEC 42001:2023
SOC 2 Type 2
Documents
REPORTSData Flow Diagram (DFD)
REPORTSNetwork Diagram Full
REPORTSNetwork Diagram Overview
DATA SECURITYData Asset Classification
AIAI Governance Overview
DATA PRIVACYData Privacy Overview
POLICIESAI System Development and Evaluation Policy
POLICIESBackup Policy
POLICIESBusiness Continuity/Disaster Recovery (BC/DR) Policy
POLICIESChange Management Policy
POLICIESData Classification Policy
POLICIESData Protection Policy Overview
Risk Profile
Data Access LevelInternal
Third Party DependenceNo
HostingMajor Cloud Provider
Product Security
Audit Logging
Data Security
Integrations
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Reports
Data Flow Diagram (DFD)
Network Diagram Overview
Network Diagram Full
Data Security
Access Monitoring
Certificates of Destruction
Data Asset Classification
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App Security
Responsible Disclosure
Application Penetration Testing
Code Analysis
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AI
AI Governance Overview
ESG
We prioritize and take environmental, social, and governance (ESG) considerations seriously in our operations and decision-making processes.
Legal
We take legal matters seriously and we always engage our legal counsel to review all commercial activities. Please contact us if you have any questions.
Data Privacy
Data Into System
Data Out of System
Data Privacy Officer
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Access Control
Access Log Management
Automated Account Management
Bring Your Own Device (BYOD)
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Infrastructure
Status Monitoring
BC/DR
Data Center
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Endpoint Security
Anti-Malware
Disk Encryption
Host Intrusion Detection System (HIDS)
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Network Security
Data Loss Prevention
Firewall
IDS/IPS
Corporate Security
Employee Training
HR Security
Incident Response
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Policies
Acceptable Use Policy
Access Control Policy
AI System Development and Evaluation Policy
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Incident Response
Designated Response Personnel
Incident Reporting Process
Pager Service
Risk Management
Data Access/Impact Levels
Risk Assessments
Supply Chain Risk Management
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Asset Management
Asset Classification
Asset Inventories (Hardware/Software)
Asset Tracking
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BC/DR
Business Continuity Plan (BCP)
Data Backup/Backup Protection
Disaster Recovery Plan (DRP)
Training
Employee Privacy Training
Phishing Training
Role-Based Training
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Change Management
Change Advisory Board (CAB)
Change Control Board (CCB)
Change Management Program
Continuous Monitoring
Data Loss Prevention System (DLP)
Event & Audit Log Management
File Integrity Monitoring (FIM)
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Knowledge Base (FAQ)
What is your delivery / engagement model?
What are your scenario planning and optimization capabilities?
Where and how is data stored, and which cloud providers do you use?
What technical expertise and time commitment are required from the client?
What KPIs can the model handle?
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