Auckland University of Technology Company Cyber Security Posture

aut.ac.nz

Auckland University of Technology (AUT) is proud to be one of the worldโ€™s best modern universities. We offer exceptional learning experiences that prepare students to be successful wherever in the world their career may take them. Across all of our programmes, we encourage innovation and entrepreneurship, and the ability to explore new technologies, challenge routine thinking and solve problems in new ways. As a contemporary university we also place an emphasis on working across disciplines in our research, and teaching and learning. Weโ€™re connected to an extraordinary range of organisations worldwide; sharing expertise and resources, collaborating on groundbreaking research, and connecting students with industry leaders and employers. AUT leads Australasia in global research impact, and we have more than 60 research centres and institutes delivering leading research โ€“ from artificial intelligence to robotics, and ecology to public health.

AUT Company Details

Linkedin ID:

autuni

Employees number:

4299 employees

Number of followers:

132732

NAICS:

611

Industry Type:

Higher Education

Homepage:

aut.ac.nz

IP Addresses:

Scan still pending

Company ID:

AUC_6141387

Scan Status:

In-progress

AI scoreAUT 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

Auckland University of Technology 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

Auckland University of Technology Company Cyber Security News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenUrl IDDetailsView
autuniRansomware75209/2023AUT101224923Link
Rankiteo Explanation :
Attack limited on finance or reputation

Description: The Auckland University of Technology has allegedly been hacked by a ransomware group known as Monti, which has allegedly stolen 60 gigabytes of data that it is threatening to publish publicly. The institution said in a statement that there had been little disturbance to its services and that regular operations and instruction were continuing both on campus and online. In the hours following initial detection, AUT adopted additional security measures in addition to taking urgent action to confine and isolate any impacted servers. Leading outside forensic IT and cyber-security professionals have been hired to help manage the problem and carry out a full investigation.

Auckland University of Technology Company Subsidiaries

SubsidiaryImage

Auckland University of Technology (AUT) is proud to be one of the worldโ€™s best modern universities. We offer exceptional learning experiences that prepare students to be successful wherever in the world their career may take them. Across all of our programmes, we encourage innovation and entrepreneurship, and the ability to explore new technologies, challenge routine thinking and solve problems in new ways. As a contemporary university we also place an emphasis on working across disciplines in our research, and teaching and learning. Weโ€™re connected to an extraordinary range of organisations worldwide; sharing expertise and resources, collaborating on groundbreaking research, and connecting students with industry leaders and employers. AUT leads Australasia in global research impact, and we have more than 60 research centres and institutes delivering leading research โ€“ from artificial intelligence to robotics, and ecology to public health.

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AUT Cyber Security News

2025-02-10T08:00:00.000Z
N.C. A&Tโ€™s Cybersecurity Research Center Hosts Fulbright Visiting Scholar for Bee Research

Dr. Mahsa McCauley, has been given a prestigious Fulbright Scholarship to explore the integration of AI into beekeeping by engaging in our Bee Doctor project.

2025-05-23T07:00:00.000Z
Palo Alto Networks and Quitch launch new cyber training modules

Palo Alto Networks partners with Quitch to launch free, interactive cybersecurity training on a gamified platform using spaced repetitionย ...

2023-09-22T07:00:00.000Z
New Zealand university operating despite cyberattack

New Zealand's third-largest university has been able to continue operating despite a cyberattack that forced officials to isolate affectedย ...

2024-09-25T07:00:00.000Z
Milestone Systems aims for NZD $15 million NZ market growth by 2025

Milestone Systems targets NZD $15 million growth in New Zealand by 2025, emphasising the power of video technology beyond traditionalย ...

2023-09-22T07:44:37.000Z
Monti Ransomware Group Claims Auckland University of Technology Data Breach

The Auckland University of Technology (AUT) allegedly fell victim to a breach orchestrated by the notorious Monti ransomware group.

2025-04-14T20:36:14.000Z
Support 14 years-old Alisa Pham youngest university student's future in New Zealand to continue her Master's Studies

Calling for support as the 14 year old youngest university student in New Zealand is unable to fund Master's studies moving forward.

2025-04-08T07:00:00.000Z
Bad dog: How Otago Universityโ€™s robot dog could be a spy for China

A Chinese-made robot dog has sparked global cybersecurity concerns over inbuilt spy technology. Otago University has the affected model, whichย ...

2024-06-27T07:00:00.000Z
University of Auckland graduates first students with Master of Information Governance

The first students have graduated from the University of Auckland's Master of Information Governance program, launched in 2021.

2024-09-25T07:00:00.000Z
Tech Mahindra and University of Auckland Align to Support Innovation and Collaboration in AI, Machine Learning, and Quantum Computing

Tech Mahindra and the University of Auckland partnered to drive innovation through collaboration in machine learning and quantum computing.

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

AUT CyberSecurity History Information

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

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

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 Auckland University of Technology (AUT) is proud to be one of the worldโ€™s best modern universities. We offer exceptional learning experiences that prepare students to be successful wherever in the world their career may take them. Across all of our programmes, we encourage innovation and entrepreneurship, and the ability to explore new technologies, challenge routine thinking and solve problems in new ways. As a contemporary university we also place an emphasis on working across disciplines in our research, and teaching and learning. Weโ€™re connected to an extraordinary range of organisations worldwide; sharing expertise and resources, collaborating on groundbreaking research, and connecting students with industry leaders and employers. AUT leads Australasia in global research impact, and we have more than 60 research centres and institutes delivering leading research โ€“ from artificial intelligence to robotics, and ecology to public health..

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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