Washington State Department of Labor & Industries Company Cyber Security Posture

wa.gov

The diverse programs that make up the Washington State Department of Labor & Industries (L&I) share a common purpose: safety, protection and economic opportunity. We provide services from 19 field offices across the state and from our central office in Tumwater.

WSDL&I Company Details

Linkedin ID:

laborandindustries

Employees number:

1292 employees

Number of followers:

5058

NAICS:

922

Industry Type:

Government Administration

Homepage:

wa.gov

IP Addresses:

Scan still pending

Company ID:

WAS_3333167

Scan Status:

In-progress

AI scoreWSDL&I Risk Score (AI oriented)

Between 900 and 1000

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

globalscoreWSDL&I Global Score
blurone
Ailogo

Washington State Department of Labor & Industries 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

Washington State Department of Labor & Industries Company Cyber Security News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenUrl IDDetailsView
Washington State Department of Labor & IndustriesBreach80403/2022WAS14217822Link
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: Washington State Department of Labor Industries (L&I) office lost equipment containing sensitive personally identifiable information of many residents in a burglary in March 2022. The computer hard drives, laptops, cellphones, office equipment, door access key cards, gas cards, and other items were stolen in a burglary. The hard drives may contain personally identifiable information including social security numbers, financial account numbers, email addresses and passwords, dates of birth, and health insurance information. The agency filed the complaint and offered free credit monitoring to those affected.

Washington State Department of Labor & Industries Company Subsidiaries

SubsidiaryImage

The diverse programs that make up the Washington State Department of Labor & Industries (L&I) share a common purpose: safety, protection and economic opportunity. We provide services from 19 field offices across the state and from our central office in Tumwater.

Loading...

Access Data Using Our API

SubsidiaryImage

Get company history

curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?linkedin_id=laborandindustries' -H 'apikey: YOUR_API_KEY_HERE'
newsone

WSDL&I Cyber Security News

2025-05-16T07:00:00.000Z
Spokane County profile

Spokane County averaged about 262,245 people in the labor force in 2024, with a 4.5% unemployment rate. Spokane is part of the Spokane-Spokaneย ...

2024-08-01T07:00:00.000Z
Washington State Department of Labor & Industries drives cultural shift and achieves measurable cost savings with Microsoft Azure | Microsoft Customer Stories

The Washington State Department of Labor & Industries (L&I), a government agency that oversees the workplace health and safety of millionsย ...

2024-11-03T00:06:36.000Z
Washingtonโ€™s Ready to Work

Beyond outdoor recreation and career development, Washington offers opportunities to explore a myriad of interests and cultural experiences.

2025-04-15T07:00:00.000Z
Whistleblower org says DOGE may have caused 'significant cyber breach' at US labor watchdog

A whistleblower complaint says that billionaire Elon Musk's team of technologists may have been responsible for a "significant cybersecurity breach."

2024-10-04T07:00:00.000Z
Navigating Meal Period Compliance: Key Insights From Recent Washington Court Ruling for Employers

The ruling further indicates that simply paying employees for the time worked is insufficient if meal periods are missed or compromised.

2024-07-11T07:00:00.000Z
Biden-Harris administration awards over $244M to modernize, diversify, expand Registered Apprenticeships in growing industries

The Department of Labor awards more than $244 million through two grant programs to help modernize, diversify and expand the Registered Apprenticeship systemย ...

2024-06-24T07:00:00.000Z
Washington AG names AI task force members

Washington state Attorney General Bob Ferguson named 18 members from government, academia and industry to study generative artificialย ...

2025-03-28T07:00:00.000Z
Trump signs executive order to end collective bargaining at agencies involved with national security

President Donald Trump moved Thursday to end collective bargaining with federal labor unions in agencies with national security missions across the federalย ...

2024-04-29T07:00:00.000Z
Generative AI is a dual concern for cybersecurity industry โ€” and will drive increased labor demand

Artificial intelligence is a double-edged sword when it comes to cybersecurity โ€” and will be a core driver of demand for new cybersecurityย ...

similarCompanies

WSDL&I Similar Companies

Stavanger kommune har 142.034 innbyggere (januar 2020), og er en del av Stavangerregionen, Norges tredje stโˆšโˆrste byregion, med 360.000 innbyggere. Byen og regionen byr pโˆšโ€ข et variert kulturliv og flotte naturopplevelser. Stavangerregionen har i over 40 โˆšโ€ขr ledet an i utviklingen av Norge som ener

Gouvernement du Quรฉbec โ€“ Carriรจres

Travailler dans la fonction publique du Quรฉbec, c'est plus qu'une carriรจre! Rรฉparti(e)s dans une vingtaine de ministรจres et une soixantaine d'organismes ร  travers le Quรฉbec, tous les gestes posรฉs par les employรฉ(e)s de la fonction publique faรงonnent lโ€™avenir de la sociรฉtรฉ et contribuent ร  amรฉliorer

Assurance Maladie

Travailler ร  lโ€™Assurance Maladie, cโ€™est donner une nouvelle dimension ร  votre mรฉtier et agir au quotidien pour la protection de notre systรจme de santรฉ. Participez ร  une grande diversitรฉ de projets dans un cadre bienveillant et soyez fier de contribuer ร  une mission essentielle : agir ensemble, prot

Vรคstra Gรถtalandsregionen

Region Vรคstra Gรถtaland is governed by democratically elected politicians and with just over 50,000 employees is one of Swedenโ€™s biggest employers. It is tasked with offering good healthcare and dental care and providing the prerequisites for good public health, a rich cultural life, a good enviro

State of Florida

Join Floridaโ€™s talented workforce to fulfill your professional goals and achieve a meaningful career. Our talented public servants work hard to serve more than 19 million residents across Florida, and you, too, can realize success in the Sunshine State. Working in Floridaโ€™s state government mean

West Virginia Division of Personnel

Our mission is to provide personnel management programs to support State agencies in employing and retaining individuals of the highest ability and integrity to provide efficient and effective governmental services for the citizens of West Virginia. We help the state workforce serve the people of We

faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

WSDL&I CyberSecurity History Information

Total Incidents: According to Rankiteo, WSDL&I has faced 1 incidents in the past.

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

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 The diverse programs that make up the Washington State Department of Labor & Industries (L&I) share a common purpose: safety, protection and economic opportunity. We provide services from 19 field offices across the state and from our central office in Tumwater..

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?

revertimgrevertimgrevertimgrevertimg
Incident
revertimgrevertimgrevertimgrevertimg
Finding
revertimgrevertimgrevertimgrevertimg
Grade
revertimgrevertimgrevertimgrevertimg
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.

Top LeftTop RightBottom LeftBottom Right
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
Users Love Us Badge