Snapshot 216805

Document
Trust center
URL
https://trust.elsevier.com/
Fetched
HTTP status
200
Content type
text/html; charset=utf-8
Fetch mode
static
Size
620397 bytes
SHA-256 (raw)
27a7283fffece9e98d4a7b8f3f16748586bcc15ad4d5c1b96738f80d076b93f3
SHA-256 (normalized text)
f658c7fe5bb1e69c35025dd6e8fbb75e05372e4d01c8198b253558f74d3004d3

Raw (normalized text)

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

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Overview
Elsevier is a global leader in information and decision support for science and healthcare. We support researchers, clinicians and other impact makers with trusted, evidence-based content and AI-enabled digital technologies.
Our Commitment to Security
As part of our responsibility to the communities we serve, we treat information security as a fundamental enabler of progress, helping protect the availability, confidentiality and integrity of the data and systems under our care.
We maintain compliance with leading security and privacy frameworks and hold certifications such as ISO 22301:2019, ISO 27001:2022, and ISO 27701:2019.
We conduct regular audits and independent assessments to help validate our controls, and we use secure infrastructure designed for all users.
Our team continually updates security practices to reflect evolving procedures, regulations and threats so we can keep improving over time.
Key Security Measures
Defense in Depth Controls: We deploy multiple layers of network security capabilities
Data Encryption: Data is encrypted both in transit (using TLS 1.2 or higher) and at rest (using AES-256)
Logging and Detection Systems: We utilize detailed logging and advanced detection systems
24x7x365 SOC: We utilize detailed logging and advanced detection systems
Responsible AI and Privacy Protections
Elsevier is committed to responsible AI use and protecting user data privacy in our AI solutions.
We treat user inputs and data in line with our Privacy Policy and our Responsible AI principles, including applicable privacy laws such as GDPR and CCPA.
For each use case and solution, we select the most appropriate large language model from a carefully chosen range of leading providers and host them securely in trusted environments.
We pride ourselves on never using customer data to train our models: our enterprise agreements include zero-retention contracts, so prompts and documents are never used for large language model development.
These controls and practices are designed to help protect the information and the users we support throughout the service lifecycle.
Compliance
ISO/IEC 27001:2022
ISO/IEC 27017:2015
ISO/IEC 27701:2019
ISO/IEC 27018:2019
ISO 22301:2019
ISO 13485:2016
ISO/IEC 42001:2023
GDPR
CCPA
CSA STAR Level 1
Cyber Essentials Plus
EU AI Act
FERPA
HIPAA
SOX
TX-RAMP
VPAT
WCAG
Documents
REPORTSApplication Pentest Attestation
REPORTSSecurity Whitepaper
COMPLIANCECSA STAR Level 1
COMPLIANCEISO 13485:2016
COMPLIANCEISO 22301:2019
COMPLIANCEISO/IEC 27001:2022
COMPLIANCEISO/IEC 27017:2015
COMPLIANCEISO/IEC 27018:2019
COMPLIANCEISO/IEC 27701:2019
COMPLIANCETX-RAMP
SELF-ASSESSMENTSCAIQ
SELF-ASSESSMENTSHECVAT Full
Corporate Security
Asset Management Practices
Email Protection
Employee Training
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AI
AI Overview
AI Security
AI Monitoring
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Product Security
Audit Logging
Data Security
Integrations
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App Security
Application Penetration Testing
Code Analysis
Credential Management
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Network Security
Bot Detection
Data Loss Prevention
Distributed Denial of Service Protection (Anti-DDoS)
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Infrastructure
Status Monitoring
Anti-DDoS
BC/DR
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Data Privacy
Privacy Principles
Privacy ISO Certification
Usage Data
View more
Data Security
Certificates of Destruction
Data Asset Classification
Data Backups
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Risk Profile
AWSMajor Cloud Provider
Access Control
Access Log Management
Automated Account Management
Data Access
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Legal
Subprocessors
Customer Audit Rights
Cyber Insurance
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Self-Assessments
CAIQ
HECVAT Full
Reports
Application Pentest Attestation
Security Whitepaper
ESG
Anti-Bribery and Corruption
Anti-Competitive Practices
Anti-Modern Slavery
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Endpoint Security
Anti-Malware
Disk Encryption
Endpoint Detection & Response
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Policies
AI System Development and Evaluation Policy
Asset Authorization and Monitoring Policy
Asset Management Policy
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Continuous Monitoring
Data Loss Prevention System (DLP)
Event & Audit Log Management
File Integrity Monitoring (FIM)
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Incident Response
Designated Response Personnel
Incident Reporting Process
Security Operations Center (SOC)
Security Grades
BitSight
BitSight
710
RiskRecon
RiskRecon
8.1
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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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
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BC/DR
Business Continuity Plan (BCP)
Data Backup/Backup Protection
Disaster Recovery Plan (DRP)
Physical & Environment
Access Monitoring
Alarms & Surveillance
Emergency Power & Lighting
View more
Trust Center Updates
Update on recently disclosed PHP vulnerabilities
General
On October 21, 2026, the PHP project released security updates for two critical vulnerabilities in PHP, software widely used to run web services. We are actively managing our response and have no indication that our systems or customer data have been compromised by these vulnerabilities.
We are assessing our environment, applying patches and added protective controls, monitoring for suspicious activity, and confirming the status of our suppliers' systems.
You may notice reduced availability while we apply updates, and we will give advance notice of interruption to services where possible.
If you have questions, please contact security@elsevier.com.
Elsevier Website Issue Update
Incidents
On September 21, visitors to select Elsevier sites were redirected to a third-party page. Our teams responded immediately, resolving the issue and restoring normal service. This was initiated via a compromised credential, which has since been deprecated and replaced.
There is no evidence that core platforms, customer data, research content, or operational systems were compromised. There was no indication of credential harvesting, data exfiltration, or lateral movement.
As an additional level of assurance, we have engaged independent external experts to validate our findings, review the effectiveness of the actions taken, and confirm that appropriate measures remain in place to manage any residual risk. Based on our investigation, remediation efforts, ongoing monitoring, and independent validation activities, we are confident that the impact was limited, contained, and effectively addressed.
October 16, 2026 Update: Our external forensic firm has reviewed extensive logs and system artifacts provided by our teams and confirmed the following:
The unauthorized activity was limited to an approximately fifteen-minute window on September 21.
There was no evidence of access to Elsevier infrastructure or product platforms.
There was no evidence of exfiltration of Elsevier system data, sensitive information, or customer data.
There was no unauthorized activity outside of the approximately fifteen-minute window.
These findings are consistent with our own investigation and with the remediation actions already taken, including the deprecation and replacement of the compromised key. We are confident that the impact was limited, contained, and effectively addressed.