Appen Company Cyber Security Posture
appen.comAppen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models. We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation. Our advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets. Our commitment to quality, scalability, and ethical AI practices makes Appen a trusted partner for enterprises aiming to develop and deploy effective AI solutions. At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth. Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence.
Appen Company Details
appen
19241 employees
1043864.0
541
IT Services and IT Consulting
appen.com
Scan still pending
APP_3584186
In-progress
Appen Risk Score (AI oriented)Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
Appen Global Score.png)
Appen 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 |
Appen Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|
Appen Company Subsidiaries
Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models. We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation. Our advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets. Our commitment to quality, scalability, and ethical AI practices makes Appen a trusted partner for enterprises aiming to develop and deploy effective AI solutions. At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth. Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence.
Access Data Using Our API
Get company history
Rapid.png)
Appen Cyber Security News
New director lifts Sandy Springs AI initiative off the ground
The City of Sandy Springs' tech specialist laid out initiatives he's working on to integrate artificial intelligence into the city's ...
Data Security Training and Compliance
Check out Appen's data security compliance and certifications and find out what we do to ensure our customers get the highest standards of security.
TikTok told to close its business in Canada amid national security concerns
TikTok told to close its business in Canada amid national security concerns - SiliconANGLE.
Sophos Annual Threat Report appendix: Most frequently encountered malware and abused software
Initially seen in 2022, Akira attacks ramped up in late 2023. The group and its affiliates were steadily active throughout 2024, spiking in ...
Preserving Privacy: An Impact Framework for Open-Source Intelligence (OSINT)
This report explores the intersection of OSINT and AI, analyzing their impact on national security, privacy, and ethics. It traces the evolution ...
The Budget and Economic Outlook: 2025 to 2035
The deficit grows to $2.7 trillion by 2035. It amounts to 6.2 percent of gross domestic product (GDP) in 2025 and drops to 5.2 percent by 2027 as revenues ...
EDGE Group Entity CONDOR signs contract with Brazil’s SENAPPEN to upgrade prison security
EDGE Group entity CONDOR Non-Lethal Technologies will provide its innovative and effective solutions to modernise Brazil's prison security ...
GLI releases industry’s first gaming security standard framework for second round of stakeholder comment
The controls serve as foundational pillars for building a resilient and secure gaming environment, safeguarding against evolving cyber threats, ...
State and Local Cybersecurity Grant Program
A first-of-its-kind cybersecurity grant program specifically for state, local, and territorial (SLT) governments across the country.
Appen Similar Companies
Algar Tech
Somos a Algar Tech CX. Com 26 anos de mercado, atuamos como parceira de negócio para a transformação digital de grandes corporações. Nosso portfólio possui serviços de Relacionamento com o Cliente, que visam melhorar a experiência dos consumidores. Somos mais de 7 mil associados que trabalham com o
Accenture Federal Services
We power reinvention across the US federal government to help agencies deliver greater outcomes using proven commercial solutions, mission expertise, and new technologies – cloud, data and AI, platforms and cyber. It’s how we radically reset problem-solving and help federal leaders deliver breakthro
Matrix
Matrix is the leading technology services company with 12,000 employees worldwide. Since its foundation in 2001, Matrix has made more than 100 mergers and acquisitions and has executed some of the largest IT projects in Israel. The company specializes in the implementation and development of leading
Softtek
Founded in 1982 by a small group of entrepreneurs, Softtek started out in Mexico providing local IT services, and today is a global leader in next-generation digital solutions. The first company to introduce the Nearshore model, Softtek helps Global 2000 organizations build their digital capabilitie
Tata Consultancy Services
Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 56 years. Our consulting-led, cognitive powered, portfolio of business, technology and engineerin
Experis Brasil
Talent and solutions to drive innovation. When it comes to IT, having the right talent and focus means you can harness the power of technology to make smarter, faster decisions; connect more strongly with your customers; and drive innovation in your marketplace. At Experis IT, our prowess in pro
Frequently Asked Questions (FAQ) on Cybersecurity Incidents
Appen CyberSecurity History Information
Total Incidents: According to Rankiteo, Appen has faced 0 incidents in the past.
Incident Types: As of the current reporting period, Appen 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 Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models. We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation. Our advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets. Our commitment to quality, scalability, and ethical AI practices makes Appen a trusted partner for enterprises aiming to develop and deploy effective AI solutions. At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth. Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence..
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.
