Babylon Group Company Cyber Security Posture
babylongroup.comBabylon Group started its journey in 1986 with Babylon Garments Limited with a humble setup. After a rigorous 38-year run, Babylon Group remains a conglomerate of 18 firms and a family of over 14,000 happy employees, thus fostering a worker-friendly culture in its operations. Aside from strong strategic competence in RMG, Babylon Group is also working in a diverse range of agricultural and technology industries. Ensuring collaborative excellence to reach beyond organizational goals. Babylon Group has crafted the notion of diversity and sustainable approach in the industry. Technology is at our forefront with sustainability curating the collaboration in the persistent quest of innovation. Our sheer determination to deliver innovation to the industry fuels our ambition to be one of the leaders of the apparel industry. We have formed strategic collaborations with key global brands and partners that share the same vision that has changed the course of the industry. We make certain that our company is at the forefront of reinventing the essence of the apparel business & other sectors we are involved in.
Babylon Group Company Details
babylon-group
10,001+ employees
0
448
Retail Apparel and Fashion
babylongroup.com
Scan still pending
BAB_1189993
In-progress
Babylon Group Risk Score (AI oriented)Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
Babylon Group Global Score.png)
Babylon Group Company Scoring based on AI Models
| Model Name | Date | Description | Current Score Difference | Score |
|---|---|---|---|---|
| AVERAGE-Industry | 03-12-2025 | This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers. | N/A | Between 900 and 1000 |
Babylon Group Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|
Babylon Group Company Subsidiaries
Babylon Group started its journey in 1986 with Babylon Garments Limited with a humble setup. After a rigorous 38-year run, Babylon Group remains a conglomerate of 18 firms and a family of over 14,000 happy employees, thus fostering a worker-friendly culture in its operations. Aside from strong strategic competence in RMG, Babylon Group is also working in a diverse range of agricultural and technology industries. Ensuring collaborative excellence to reach beyond organizational goals. Babylon Group has crafted the notion of diversity and sustainable approach in the industry. Technology is at our forefront with sustainability curating the collaboration in the persistent quest of innovation. Our sheer determination to deliver innovation to the industry fuels our ambition to be one of the leaders of the apparel industry. We have formed strategic collaborations with key global brands and partners that share the same vision that has changed the course of the industry. We make certain that our company is at the forefront of reinventing the essence of the apparel business & other sectors we are involved in.
Access Data Using Our API
Get company history
Rapid.png)
Babylon Group Cyber Security News
Top House cyber lawmaker to press DHS on key infrastructure group’s shutdown
Industry representatives say the Critical Infrastructure Partnership Advisory Council has been a valuable information-sharing tool.
Trump Joins Musk to Poke Fun at Massive War Plan Leak
President Donald Trump seemed so tickled by Elon Musk's dig at The Atlantic that he had to repost it on his Truth Social page.
Elon Musk believes he knows why the Trump admin Signal leak was allowed to occur
Musk offers peace signal to Trump after all-out verbal war. Tech mogul Elon Musk offered a modest sign of peace toward the White House late ...
Babylon secures $70 million to turn Bitcoin into PoS security backbone
Significant milestones have marked Babylon's journey, including launching the world's first trustless Bitcoin staking testnet in February 2024.
Babylon Town hosts Access to Capital event
The event, held at the Town of Babylon Old Town Hall, educated attendees on available incentives and funding and grant opportunities and provided networking ...
EBT Inc., a private bus contractor serving Suffolk Transit, earns TSA’s Gold Standard Award for Security
The Transportation Security Administration (TSA) honored EBT Inc. with the prestigious Gold Standard Award for security on Tuesday, April 16.
Babylon Health admits GP at Hand app data breach caused by ‘software issue’
Babylon Health admits GP at Hand app data breach caused by 'software issue'. The error allowed a patient to access video recordings of another ...
Top 25 Tech Companies to Watch
The Wall Street Journal ranks 25 emerging leaders in hot corners of the tech industry.
Babylon Group Similar Companies
TAL Apparel Limited
TAL Apparel, established in 1947 in Hong Kong, is one of the largest garment operations in the world. Driven by a simple formula of combining quality garments, on-time delivery and product innovation. TAL Apparel is well-known as the supplier of one out of every six men’s dress shirts sold in the
HUGO BOSS
At HUGO BOSS, we firmly believe that the passion and dedication of our employees is the essence for the successful execution of our “CLAIM 5” growth strategy. A strong commitment to empowering people and teams is therefore firmly anchored in “CLAIM 5”. In this context, our HUGO BOSS values – entrepr
Crystal International
Founded in Hong Kong in 1970, Crystal International is one of the global leaders in the apparel manufacturing industry. We have a diversified product category in 6 segments: Lifestyle wear, Denim, Intimate, Sweater, Sportswear & Outdoor Apparel, and Knitted Fabrics. We operate a multi-country manufa
J.Crew
HERITAGE MADE MODERN We make modern classics with character. We believe in true timelessness, the integrity of well-made clothes, and since our inception, great quality at a great price. That’s in our DNA. But we know it’s not only about the clothes, it’s about the feeling it gives the people who
Aditya Birla Fashion and Retail Ltd.
Aditya Birla Fashion and Retail Ltd. (ABFRL) emerged after the consolidation of the branded apparel businesses of Aditya Birla Group comprising ABNL's Madura Fashion division and ABNL's subsidiaries Pantaloons Fashion and Retail (PFRL) and Madura Fashion & Lifestyle (MFL) in May 2015. Post the conso
DBL Group
DBL Group is one of Bangladesh’s largest and most reputed vertically integrated knitted apparels manufacturers and exporters. Since its inception in 1991, DBL Group has demonstrated its full commitment towards delivering quality products and services that enabled the organization surpass the expecta
Frequently Asked Questions (FAQ) on Cybersecurity Incidents
Babylon Group CyberSecurity History Information
Total Incidents: According to Rankiteo, Babylon Group has faced 0 incidents in the past.
Incident Types: As of the current reporting period, Babylon Group has not encountered any cybersecurity incidents.
Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.
Cybersecurity Posture: The company's overall cybersecurity posture is described as Babylon Group started its journey in 1986 with Babylon Garments Limited with a humble setup. After a rigorous 38-year run, Babylon Group remains a conglomerate of 18 firms and a family of over 14,000 happy employees, thus fostering a worker-friendly culture in its operations. Aside from strong strategic competence in RMG, Babylon Group is also working in a diverse range of agricultural and technology industries. Ensuring collaborative excellence to reach beyond organizational goals. Babylon Group has crafted the notion of diversity and sustainable approach in the industry. Technology is at our forefront with sustainability curating the collaboration in the persistent quest of innovation. Our sheer determination to deliver innovation to the industry fuels our ambition to be one of the leaders of the apparel industry. We have formed strategic collaborations with key global brands and partners that share the same vision that has changed the course of the industry. We make certain that our company is at the forefront of reinventing the essence of the apparel business & other sectors we are involved in..
Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.
Incident Details
Incident 1: Ransomware Attack
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Incident 2: Data Breach
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Common Attack Types: As of now, the company has not encountered any reported incidents involving common cyberattacks.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.
Impact of the Incidents
Incident 1: Ransomware Attack
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Incident 2: Data Breach
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Average Financial Loss: The average financial loss per incident is {average_financial_loss}.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.
Incident 1: Ransomware Attack
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Incident 2: Data Breach
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Response to the Incidents
Incident 1: Ransomware Attack
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident 2: Data Breach
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.
Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.
Data Breach Information
Incident 2: Data Breach
Type of Data Compromised: {Type_of_Data}
Number of Records Exposed: {Number_of_Records}
Sensitivity of Data: {Sensitivity_of_Data}
Data Exfiltration: {Yes/No}
Data Encryption: {Yes/No}
File Types Exposed: {File_Types}
Personally Identifiable Information: {Yes/No}
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.
Ransomware Information
Incident 1: Ransomware Attack
Ransom Demanded: {Ransom_Amount}
Ransom Paid: {Ransom_Paid}
Ransomware Strain: {Ransomware_Strain}
Data Encryption: {Yes/No}
Data Exfiltration: {Yes/No}
Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.
Regulatory Compliance
Incident 1: Ransomware Attack
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Incident 2: Data Breach
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.
Lessons Learned and Recommendations
Incident 1: Ransomware Attack
Lessons Learned: {Lessons_Learned}
Incident 2: Data Breach
Lessons Learned: {Lessons_Learned}
Incident 1: Ransomware Attack
Recommendations: {Recommendations}
Incident 2: Data Breach
Recommendations: {Recommendations}
Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.
References
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.
Investigation Status
Incident 1: Ransomware Attack
Investigation Status: {Investigation_Status}
Incident 2: Data Breach
Investigation Status: {Investigation_Status}
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.
Stakeholder and Customer Advisories
Incident 1: Ransomware Attack
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Incident 2: Data Breach
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.
Initial Access Broker
Incident 1: Ransomware Attack
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Incident 2: Data Breach
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.
Post-Incident Analysis
Incident 1: Ransomware Attack
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Incident 2: Data Breach
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.
Additional Questions
General Information
Ransom Payment History: The company has {paid/not_paid} ransoms in the past.
Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.
Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.
Incident Details
Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.
Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.
Impact of the Incidents
Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.
Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.
Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.
Response to the Incidents
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.
Data Breach Information
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.
Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.
Ransomware Information
Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.
Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.
Regulatory Compliance
Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.
Lessons Learned and Recommendations
Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.
References
Most Recent Source: The most recent source of information about an incident is {most_recent_source}.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.
Investigation Status
Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.
Stakeholder and Customer Advisories
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.
Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.
Initial Access Broker
Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.
Post-Incident Analysis
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.
What Do We Measure?
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
