Idaho National Laboratory Company Cyber Security Posture

linktr.ee

In operation since 1949, Idaho National Laboratory is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's missions in energy research, nuclear science and national defense. The world's first usable amount of electricity from nuclear energy was generated here in 1951. At 890 square miles (569,135 acres), the INL Site is roughly 85 percent the size of Rhode Island. In addition to our geographic resources, the lab hosts a variety of unique facilities, including the Advanced Test Reactor National Scientific User Facility. Complementing our nuclear research, the lab has numerous alternative energy and national security programs. Robotics, wind power, high-performance computing, biofuels, critical infrastructure protection, carbon management and advanced vehicle testing are just a few examples of our multifaceted research capabilities. If you are looking for a 21st-century energy or technology career, visit our Careers tab at www.inl.gov.

INL Company Details

Linkedin ID:

idaho-national-laboratory

Employees number:

3793 employees

Number of followers:

80657.0

NAICS:

541

Industry Type:

Research Services

Homepage:

linktr.ee

IP Addresses:

Scan still pending

Company ID:

IDA_1143436

Scan Status:

In-progress

AI scoreINL 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

Idaho National Laboratory 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

Idaho National Laboratory Company Cyber Security News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenUrl IDDetailsView
Idaho National LaboratoryData Leak85312/2023IDA155251223Link
Rankiteo Explanation :
Attack with significant impact with internal employee data leaks

Description: The theft of The Idaho National Laboratory (INL) was attributed to the hacktivist organisation SiegedSec, which also released stolen HR data. The hacktivist collective declared on BreachForums and its Telegram Channel that it has obtained access to hundreds of thousands of users', workers', and public data at Idaho National Laboratory. The Idaho National Laboratory (INL) has now acknowledged the data leak and stated that around 45,000 people were affected by the security problem. For a full year, Idaho National Laboratory is providing free access to Experian IdentityWorksSM to all who are affected.

Idaho National Laboratory Company Subsidiaries

SubsidiaryImage

In operation since 1949, Idaho National Laboratory is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's missions in energy research, nuclear science and national defense. The world's first usable amount of electricity from nuclear energy was generated here in 1951. At 890 square miles (569,135 acres), the INL Site is roughly 85 percent the size of Rhode Island. In addition to our geographic resources, the lab hosts a variety of unique facilities, including the Advanced Test Reactor National Scientific User Facility. Complementing our nuclear research, the lab has numerous alternative energy and national security programs. Robotics, wind power, high-performance computing, biofuels, critical infrastructure protection, carbon management and advanced vehicle testing are just a few examples of our multifaceted research capabilities. If you are looking for a 21st-century energy or technology career, visit our Careers tab at www.inl.gov.

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INL Cyber Security News

2025-06-07T12:03:44.000Z
Standing guard against network invaders

VigilantShield examines cyber data packets on a network in real-time, efficiently identifying and stopping anomalous or malicious packets almost instantaneouslyย ...

2025-05-20T07:00:00.000Z
Strategic partnership between Idaho National Laboratory and Cyber Florida bolsters cybersecurity, nurtures talent

Strategic partnership between Idaho National Laboratory and Cyber Florida bolsters cybersecurity, nurtures talent ยท Subscribe for Updates.

2025-03-10T07:00:00.000Z
Idaho and INL lead the charge in cyber-informed engineering to protect water systems

Idaho and the Idaho National Laboratory (INL) are at the forefront of efforts to safeguard public health in the increasingly critical areaย ...

2025-04-23T01:43:25.000Z
Sarah Freeman

Originally from Upstate New York, Sarah Freeman is a multi-media artist that investigates the transitions between light, weather and seasons. She has studied atย ...

2025-01-30T08:00:00.000Z
INL, 2 Universities to Advance R&D on Energy, Cybersecurity

Learn about the different R&D projects Idaho National Laboratory will conduct with Boise State University and the University of Idaho.

2025-05-20T07:00:00.000Z
INL+partners+with+Florida+school+to+work+on+cybersecurity+infrastructure

Two organizations are combining their knowledge and efforts to create a strong cyber infrastructure for the United States.

2025-01-28T08:00:00.000Z
Idaho National Laboratory and Boise State to strengthen collaborative research initiatives

Idaho National Laboratory signed agreements with Boise State University to deepen collaborative research and development projects that willย ...

2025-03-06T08:00:00.000Z
Securing water systems against cyber-threats: Idaho leads with cyber-informed engineering

INL is the birthplace of Cyber-Informed Engineering (CIE), a strategic initiative to prioritize cybersecurity in infrastructure design and operation.

2025-02-27T08:00:00.000Z
INL collaborates with Florida to protect water infrastructure from cyber threats

The Idaho National Laboratory (INL) and the state of Florida are collaborating on an innovative cybersecurity initiative aimed at protectingย ...

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

INL CyberSecurity History Information

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

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

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 In operation since 1949, Idaho National Laboratory is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's missions in energy research, nuclear science and national defense. The world's first usable amount of electricity from nuclear energy was generated here in 1951. At 890 square miles (569,135 acres), the INL Site is roughly 85 percent the size of Rhode Island. In addition to our geographic resources, the lab hosts a variety of unique facilities, including the Advanced Test Reactor National Scientific User Facility. Complementing our nuclear research, the lab has numerous alternative energy and national security programs. Robotics, wind power, high-performance computing, biofuels, critical infrastructure protection, carbon management and advanced vehicle testing are just a few examples of our multifaceted research capabilities. If you are looking for a 21st-century energy or technology career, visit our Careers tab at www.inl.gov..

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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