Aditya Birla Fashion and Retail Ltd. Company Cyber Security Posture

abfrl.com

Aditya Birla Fashion and Retail Ltd. (ABFRL) stands as Indiaโ€™s first billion-dollar pure-play fashion powerhouse, celebrated for its extensive portfolio of leading fashion brands and innovative retail formats. As of March 31, 2024, we have achieved revenues of approximately โ‚น13,996 crore. Our operations now span 11.9 million sq. ft. of retail space, cementing our position as a leader in the industry. ABFRLโ€™s heritage includes iconic brands like Louis Philippe, Van Heusen, Allen Solly, and Peter England, which have been shaping the Indian fashion landscape for over 25 years. Additionally, Pantaloons, one of Indiaโ€™s foremost fashion retailers, continues to deliver an unmatched shopping experience. Our international portfolio features The Collective, Indiaโ€™s largest multi-brand retailer of international labels, alongside exclusive partnerships with celebrated global names such as Ralph Lauren, Hackett London, Ted Baker, and Reebok. In the ethnic wear space, we have made significant strides with brands like Jaypore, Tasva, and Marigold Lane, complemented by strategic collaborations with leading designers such as Shantanu & Nikhil, Tarun Tahiliani, Masaba Gupta and Sabyasachi. TCNS Clothing Co., now a part of ABFRL, is a trailblazer in womenโ€™s fashion, empowering women through a wide range of stylish and high-quality apparel. ABFRLโ€™s commitment to the future is exemplified by TMRW, a revolutionary โ€˜House of Brandsโ€™ initiative. TMRW partners with D2C fashion and lifestyle brands, transforming them into customer-centric powerhouses by leveraging the Aditya Birla Groupโ€™s expertise. With a focus on innovation, scalability, and shared success, TMRW is shaping the future of fashion through beloved brands across India. Continuing our digital transformation journey, we are scaling up our brands.com platform to create an integrated digital portfolio. This initiative enhances customer experiences and deepens connections across emerging fashion segments.

ABFRL Company Details

Linkedin ID:

madura-fashion-&-lifestyle

Employees number:

13238 employees

Number of followers:

745567.0

NAICS:

448

Industry Type:

Retail Apparel and Fashion

Homepage:

abfrl.com

IP Addresses:

Scan still pending

Company ID:

ADI_8571456

Scan Status:

In-progress

AI scoreABFRL Risk Score (AI oriented)

Between 900 and 1000

This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.

Ailogo

Aditya Birla Fashion and Retail Ltd. Company Scoring based on AI Models

Model NameDateDescriptionCurrent Score DifferenceScore
AVERAGE-Industry03-12-2025

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

Aditya Birla Fashion and Retail Ltd. Company Cyber Security News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenUrl IDDetailsView
Aditya Birla GroupCyber Attack100501/2022ADI184824422Link
Rankiteo Explanation :
Attack threatening the organization's existence

Description: Indian fashion retailer Aditya Birla Group fell victim to a massive cyberattack by the threat actors group named ShinyHunters. The hackers claimed to have access to its systems and stole the personal information of its employees and customers. The group informed the affected customers about the breach.

Aditya Birla Fashion and Retail Ltd. Company Subsidiaries

SubsidiaryImage

Aditya Birla Fashion and Retail Ltd. (ABFRL) stands as Indiaโ€™s first billion-dollar pure-play fashion powerhouse, celebrated for its extensive portfolio of leading fashion brands and innovative retail formats. As of March 31, 2024, we have achieved revenues of approximately โ‚น13,996 crore. Our operations now span 11.9 million sq. ft. of retail space, cementing our position as a leader in the industry. ABFRLโ€™s heritage includes iconic brands like Louis Philippe, Van Heusen, Allen Solly, and Peter England, which have been shaping the Indian fashion landscape for over 25 years. Additionally, Pantaloons, one of Indiaโ€™s foremost fashion retailers, continues to deliver an unmatched shopping experience. Our international portfolio features The Collective, Indiaโ€™s largest multi-brand retailer of international labels, alongside exclusive partnerships with celebrated global names such as Ralph Lauren, Hackett London, Ted Baker, and Reebok. In the ethnic wear space, we have made significant strides with brands like Jaypore, Tasva, and Marigold Lane, complemented by strategic collaborations with leading designers such as Shantanu & Nikhil, Tarun Tahiliani, Masaba Gupta and Sabyasachi. TCNS Clothing Co., now a part of ABFRL, is a trailblazer in womenโ€™s fashion, empowering women through a wide range of stylish and high-quality apparel. ABFRLโ€™s commitment to the future is exemplified by TMRW, a revolutionary โ€˜House of Brandsโ€™ initiative. TMRW partners with D2C fashion and lifestyle brands, transforming them into customer-centric powerhouses by leveraging the Aditya Birla Groupโ€™s expertise. With a focus on innovation, scalability, and shared success, TMRW is shaping the future of fashion through beloved brands across India. Continuing our digital transformation journey, we are scaling up our brands.com platform to create an integrated digital portfolio. This initiative enhances customer experiences and deepens connections across emerging fashion segments.

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newsone

ABFRL Cyber Security News

2025-05-22T07:00:00.000Z
Pune man arrested in Vadodara for aiding cyber fraud gangs through fake bank accounts

Pune resident Mahendra Meghwal was apprehended for creating and managing fraudulent bank accounts used by cybercrime syndicates. Meghwal, whoย ...

2024-08-08T14:27:00.000Z
Leadership Team and Board of Directors

Aditya Birla Group's leadership team is the secret behind it delivering exceptional value to customers, shareholders, and stakeholders.

2024-12-03T08:00:00.000Z
Signzy Customer Data Leak Exposes Growing Cybersecurity Gaps in India

Online ID verification services provider Signzy has suffered a cyberattack that exposed customer data online.

2025-04-28T07:00:00.000Z
Cybersecurity in financial sector: How AI can prevent data breaches; ClearTax launches AI-powered tools for ITR filing; Tech & more

LatestNewsโšก๏ธ Meet your business goals with Google Reliance Industries share price targets go up to as high as โ‚น1710 post Q4 results Shares ofย ...

2024-08-20T07:00:00.000Z
NCLT approves amalgation of TCNS Clothing with Aditya Birla Fashion and Retail

The National Company Law Tribunal (NCLT) has approved the amalgamation of TCNS Clothing with Aditya Birla Fashion and Retail Ltd as per theย ...

2025-05-22T07:00:00.000Z
Pune woman duped of Rs 4.47 lakh while requesting home banking service

Cybersecurity News: A 67-year-old woman in Pune fell victim to cyber fraud, losing Rs 4.47 lakh after seeking help to activate her debitย ...

2025-01-15T08:00:00.000Z
WazirX's $235 mn hack linked to North Korea; US, Japan, S Korea to counter

WazirX suffered a major security breach in July 2024, which has now been attributed to North Korea's notorious hacking organisation Lazarus Group.

2022-02-21T08:00:00.000Z
Aditya Birla Fashion and Retail Limited Selects Accenture to Accelerate Its Digital Transformation Journey

ABFRL has chosen Accenture to design, develop, and deploy an enterprise resource planning (ERP) system based on SAP S/4HANAยฎ to streamline business processes.

2022-01-16T08:00:00.000Z
Aditya Birla Fashion and Retail faces data breach on its portal

Aditya Birla Fashion and Retail Ltd (ABFRL) is facing a data breach on its portal, and the company is investing the incident.

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

ABFRL CyberSecurity History Information

Total Incidents: According to Rankiteo, ABFRL has faced 1 incidents in the past.

Incident Types: The types of cybersecurity incidents that have occurred include ['Cyber Attack'].

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 Aditya Birla Fashion and Retail Ltd. (ABFRL) stands as Indiaโ€™s first billion-dollar pure-play fashion powerhouse, celebrated for its extensive portfolio of leading fashion brands and innovative retail formats. As of March 31, 2024, we have achieved revenues of approximately โ‚น13,996 crore. Our operations now span 11.9 million sq. ft. of retail space, cementing our position as a leader in the industry. ABFRLโ€™s heritage includes iconic brands like Louis Philippe, Van Heusen, Allen Solly, and Peter England, which have been shaping the Indian fashion landscape for over 25 years. Additionally, Pantaloons, one of Indiaโ€™s foremost fashion retailers, continues to deliver an unmatched shopping experience. Our international portfolio features The Collective, Indiaโ€™s largest multi-brand retailer of international labels, alongside exclusive partnerships with celebrated global names such as Ralph Lauren, Hackett London, Ted Baker, and Reebok. In the ethnic wear space, we have made significant strides with brands like Jaypore, Tasva, and Marigold Lane, complemented by strategic collaborations with leading designers such as Shantanu & Nikhil, Tarun Tahiliani, Masaba Gupta and Sabyasachi. TCNS Clothing Co., now a part of ABFRL, is a trailblazer in womenโ€™s fashion, empowering women through a wide range of stylish and high-quality apparel. ABFRLโ€™s commitment to the future is exemplified by TMRW, a revolutionary โ€˜House of Brandsโ€™ initiative. TMRW partners with D2C fashion and lifestyle brands, transforming them into customer-centric powerhouses by leveraging the Aditya Birla Groupโ€™s expertise. With a focus on innovation, scalability, and shared success, TMRW is shaping the future of fashion through beloved brands across India. Continuing our digital transformation journey, we are scaling up our brands.com platform to create an integrated digital portfolio. This initiative enhances customer experiences and deepens connections across emerging fashion segments..

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

Ransomware Logo

Incident 1: Ransomware Attack

Regulations Violated: {Regulations_Violated}

Fines Imposed: {Fines_Imposed}

Legal Actions: {Legal_Actions}

Regulatory Notifications: {Regulatory_Notifications}

Data Breach Logo

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

Incident 1: Ransomware Attack

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

Incident 2: Data Breach

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

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?

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Incident
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Finding
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Grade
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Digital Assets

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:

Network Security

Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.

SBOM (Software Bill of Materials)

Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

CMDB (Configuration Management Database)

Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.

Threat Intelligence

Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

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