Motilal Oswal Financial Services Ltd Company Cyber Security Posture

motilaloswalgroup.com

Motilal Oswal Financial Services Ltd. (MOFSL) was founded in 1987 as a small sub-broking unit, with just 2 people running the show. Focus on a customer-first attitude, ethical and transparent business practices, respect for professionalism, research-based value investing, and implementation of cutting-edge technology has enabled us to blossom into a 12,000+ member team. Today we are a well-diversified financial services firm offering a range of financial products and services such as Private Wealth, Retail Broking and Distribution, Institutional Broking, Asset Management, Investment Banking, Private Equity, Commodity Broking, Currency Broking, and Home Finance. We have a diversified client base that includes retail customers (including High Net worth Individuals), mutual funds, foreign institutional investors, financial institutions, and corporate clients. We are headquartered in Mumbai and, as of September 2022, had a network spread over 550 cities and towns comprising 2500+ Business Locations operated by our Business Partners, us, and 5.2 Million+ customers. Research is the solid foundation on which MOFSL advice is based. Almost 10% of revenue is invested in equity research, and we hire and train the best resources to become our advisors. At present we have 25+ research analysts researching over 250 companies across 20 sectors. From a fundamental, technical, and derivatives research perspective, Motilal Oswalโ€šร„รดs research reports have received wide coverage in the media. Our consistent efforts towards quality equity research have reflected in an increase in the ratings and rankings across various categories in the AsiaMoney Brokers Poll over the years. We have also been awarded the Best Performing Equity Broker (National) at the CNBC TV18 Financial Advisor Awards for five years in a row & got inducted into the โ€šร„รฒHall of Fameโ€šร„รด at the 10th Financial Advisory Awards 2019.

MOFSL Company Details

Linkedin ID:

motilal-oswal-financial-services-ltd

Employees number:

10,001+ employees

Number of followers:

327337

NAICS:

52

Industry Type:

Financial Services

Homepage:

motilaloswalgroup.com

IP Addresses:

2

Company ID:

MOT_3263607

Scan Status:

In-progress

AI scoreMOFSL Risk Score (AI oriented)

Between 800 and 900

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

Ailogo

Motilal Oswal Financial Services 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 800 and 900

Motilal Oswal Financial Services Ltd Company Cyber Security News & History

Past Incidents
0
Attack Types
0
EntityTypeSeverityImpactSeenUrl IDDetailsView

Motilal Oswal Financial Services Ltd Company Subsidiaries

SubsidiaryImage

Motilal Oswal Financial Services Ltd. (MOFSL) was founded in 1987 as a small sub-broking unit, with just 2 people running the show. Focus on a customer-first attitude, ethical and transparent business practices, respect for professionalism, research-based value investing, and implementation of cutting-edge technology has enabled us to blossom into a 12,000+ member team. Today we are a well-diversified financial services firm offering a range of financial products and services such as Private Wealth, Retail Broking and Distribution, Institutional Broking, Asset Management, Investment Banking, Private Equity, Commodity Broking, Currency Broking, and Home Finance. We have a diversified client base that includes retail customers (including High Net worth Individuals), mutual funds, foreign institutional investors, financial institutions, and corporate clients. We are headquartered in Mumbai and, as of September 2022, had a network spread over 550 cities and towns comprising 2500+ Business Locations operated by our Business Partners, us, and 5.2 Million+ customers. Research is the solid foundation on which MOFSL advice is based. Almost 10% of revenue is invested in equity research, and we hire and train the best resources to become our advisors. At present we have 25+ research analysts researching over 250 companies across 20 sectors. From a fundamental, technical, and derivatives research perspective, Motilal Oswalโ€šร„รดs research reports have received wide coverage in the media. Our consistent efforts towards quality equity research have reflected in an increase in the ratings and rankings across various categories in the AsiaMoney Brokers Poll over the years. We have also been awarded the Best Performing Equity Broker (National) at the CNBC TV18 Financial Advisor Awards for five years in a row & got inducted into the โ€šร„รฒHall of Fameโ€šร„รด at the 10th Financial Advisory Awards 2019.

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MOFSL Cyber Security News

2025-01-30T08:00:00.000Z
Sebi imposes Rs 7 lakh fine on Motilal Oswal Financial Services for violating broker rules

Sebi on Thursday imposed a penalty of Rs 7 lakh on Motilal Oswal Financial Services Ltd for flouting stock broker and depository participant rules.

2025-02-19T08:00:00.000Z
Raymond Lifestyle Hit By Cyber Attack, Customer Operations Unaffected

A cybersecurity incident at Raymond Lifestyle Ltd. impacted some of its IT assets, but its core systems and operations remain unaffected,ย ...

2025-04-17T07:00:00.000Z
Nippon Mutual Fund website has been down since a cyberattack on 9 April

The company shut its website as it wanted to insulate the data of its registrar and transfer agent (RTA) K-fintech from the attack, said aย ...

2024-09-09T07:00:00.000Z
Saransh Rawat Becomes CTO of TAC Infosec as Vishal Jain Steps Down as CFO

Saransh Rawat joined TAC Infosec in 2021 as the information security analyst and later served as the manager for application security.

2025-06-03T07:00:00.000Z
ISB Online launches Cybersecurity for Leaders Programme to Equip Leaders in Tackling Cyber Threats

This strategically curated 16-week online programme offers participants a pathway to a high-growth career in cybersecurity leadership.

2024-02-19T08:00:00.000Z
Data breach: No impact on biz ops, says Motilal Oswal Financial Services

Cybercrime group LockBit had claimed the attack on MOSL on its dark web site, according to a report by news portal TechCrunch.

2024-08-15T07:00:00.000Z
Exploring the Indian Cyberthreat Landscape: Top 15 Cyberattacks that Rocked India

India saw a 261% increase in cyberattacks in Q1 2024, hitting key sectors. Here are the top 15 cyberattacks that rocked India in 2024.

2024-02-21T08:00:00.000Z
Data Heist: Motilal Oswal Breach Aftermath

A cyberattack was launched on the Indian brokerage firm Motilal Oswal Financial Services Ltd by the infamous ransomware group LockBit Ltdย ...

2025-01-16T08:00:00.000Z
Rubrik to expand presence in B'luru

Rubrik, a US-based cybersecurity company with a $5.7 billion market cap, is expanding in Bengaluru with a new facility set to open mid-year. Theย ...

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

MOFSL CyberSecurity History Information

Total Incidents: According to Rankiteo, MOFSL has faced 0 incidents in the past.

Incident Types: As of the current reporting period, MOFSL 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 Motilal Oswal Financial Services Ltd. (MOFSL) was founded in 1987 as a small sub-broking unit, with just 2 people running the show. Focus on a customer-first attitude, ethical and transparent business practices, respect for professionalism, research-based value investing, and implementation of cutting-edge technology has enabled us to blossom into a 12,000+ member team. Today we are a well-diversified financial services firm offering a range of financial products and services such as Private Wealth, Retail Broking and Distribution, Institutional Broking, Asset Management, Investment Banking, Private Equity, Commodity Broking, Currency Broking, and Home Finance. We have a diversified client base that includes retail customers (including High Net worth Individuals), mutual funds, foreign institutional investors, financial institutions, and corporate clients. We are headquartered in Mumbai and, as of September 2022, had a network spread over 550 cities and towns comprising 2500+ Business Locations operated by our Business Partners, us, and 5.2 Million+ customers. Research is the solid foundation on which MOFSL advice is based. Almost 10% of revenue is invested in equity research, and we hire and train the best resources to become our advisors. At present we have 25+ research analysts researching over 250 companies across 20 sectors. From a fundamental, technical, and derivatives research perspective, Motilal Oswalโ€šร„รดs research reports have received wide coverage in the media. Our consistent efforts towards quality equity research have reflected in an increase in the ratings and rankings across various categories in the AsiaMoney Brokers Poll over the years. We have also been awarded the Best Performing Equity Broker (National) at the CNBC TV18 Financial Advisor Awards for five years in a row & got inducted into the โ€šร„รฒHall of Fameโ€šร„รด at the 10th Financial Advisory Awards 2019..

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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