IDVerse - A LexisNexis® Risk Solutions Company Company Cyber Security Posture
idverse.comThere are 8 billion people out there. Let them in. IDVerse helps you quickly scale your business globally. Our fully-automated solution verifies new users in seconds with just their face and smartphone - in over 220 countries and territories with any ID document - without the burden of human intervention. We empower true identity for people around the world. Through our bias-tested technology, we are pioneering the use of generative AI to train deep neural network systems to protect against discrimination on the basis of race, age and gender. We are the first company to achieve 99.99% accuracy in independent lab testing. Our advancements in Natural Vision Processing (NVP) are enabling machines to autonomously see and perceive as humans and excel in ways that humans cannot. IDVerse is trusted by startups, governments, and global enterprises, including HSBC, Vodafone, BMW, Virgin Money, and ANZ, for borderless and inclusive identity verification. Founded in Australia in 2018, OCR Labs Global is a Series B venture-backed company with headquarters in London and offices in North America, Asia and Europe.
I-LRSC Company Details
ocrlabs
109 employees
9506.0
none
Technology, Information and Internet
idverse.com
Scan still pending
IDV_1060859
In-progress
I-LRSC Risk Score (AI oriented)Between 200 and 800
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
I-LRSC Global Score.png)
IDVerse - A LexisNexis® Risk Solutions Company 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 200 and 800 |
IDVerse - A LexisNexis® Risk Solutions Company Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| IDVerse - An OCR Labs Company | Data Leak | 60 | 3 | 04/2023 | IDV105729523 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: A setup error that exposed private data was found by the Cybernews research team in the OCR Labs system. Defence Bank, Bloom Money, Admiral Money, MA Money, and Reed were all impacted by the data leak. Threat actors could perhaps compromise the backend infrastructure of banks and, as a result, the infrastructure of their customers using disclosed data. The threat to businesses and their customers is significant since financial services are the primary target of cybercriminals. OCR Labs corrected the problem after being contacted by Cybernews. | |||||||
| idverse | Data Leak | 60 | 3 | 04/2023 | IDV31921023 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: Sensitive credentials were exposed by a digital identification tool that OCR Labs offered to large banks and government organizations, seriously endangering the safety of its customers. Threat actors might compromise banks' backend infrastructure and, as a result, the infrastructure of their customers using disclosed data. Cybercriminals' primary focus is on financial services, posing a serious threat to businesses and their clients. The Cybernews investigation team identified the OCR Labs system's misconfiguration that exposed private information. | |||||||
IDVerse - A LexisNexis® Risk Solutions Company Company Subsidiaries
There are 8 billion people out there. Let them in. IDVerse helps you quickly scale your business globally. Our fully-automated solution verifies new users in seconds with just their face and smartphone - in over 220 countries and territories with any ID document - without the burden of human intervention. We empower true identity for people around the world. Through our bias-tested technology, we are pioneering the use of generative AI to train deep neural network systems to protect against discrimination on the basis of race, age and gender. We are the first company to achieve 99.99% accuracy in independent lab testing. Our advancements in Natural Vision Processing (NVP) are enabling machines to autonomously see and perceive as humans and excel in ways that humans cannot. IDVerse is trusted by startups, governments, and global enterprises, including HSBC, Vodafone, BMW, Virgin Money, and ANZ, for borderless and inclusive identity verification. Founded in Australia in 2018, OCR Labs Global is a Series B venture-backed company with headquarters in London and offices in North America, Asia and Europe.
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I-LRSC Cyber Security News
LexisNexis Risk Solutions Acquires IDVerse
Once integration is complete, LexisNexis Risk Solutions will offer clients even more robust risk insights to better protect consumers, promote ...
LexisNexis to acquire deepfake detector IDVerse for undisclosed sum
LexisNexis, owned by the Relx Group, is a provider of information-based analytics and decision tools. The company previously acquired cloud-based orchestration ...
LexisNexis risk solutions confirms data breach impacting over 360,000 individuals
In a newly disclosed cybersecurity incident, LexisNexis Risk Solutions, a major player in the data analytics and risk management industry, ...
Cybersecurity M&A Roundup: 28 Deals Announced in February 2025
Twenty-eight cybersecurity-related merger and acquisition (M&A) deals were announced in February 2025.
Financial crime and fraud in the age of cybersecurity
As cybersecurity threats compound the risks of financial crime and fraud, institutions are crossing functional boundaries to enable collaborative resistance.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
I-LRSC CyberSecurity History Information
How many cyber incidents has I-LRSC faced?
Total Incidents: According to Rankiteo, I-LRSC has faced 2 incidents in the past.
What types of cybersecurity incidents have occurred at I-LRSC?
Incident Types: The types of cybersecurity incidents that have occurred incidents Data Leak.
How does I-LRSC detect and respond to cybersecurity incidents?
Detection and Response: The company detects and responds to cybersecurity incidents through remediation measures with OCR Labs corrected the problem.
Incident Details
Can you provide details on each incident?
Incident : Data Breach
Title: OCR Labs Credential Exposure Incident
Description: Sensitive credentials were exposed by a digital identification tool that OCR Labs offered to large banks and government organizations, seriously endangering the safety of its customers. Threat actors might compromise banks' backend infrastructure and, as a result, the infrastructure of their customers using disclosed data. Cybercriminals' primary focus is on financial services, posing a serious threat to businesses and their clients. The Cybernews investigation team identified the OCR Labs system's misconfiguration that exposed private information.
Type: Data Breach
Attack Vector: Misconfiguration
Vulnerability Exploited: System Misconfiguration
Motivation: Financial Gain
Incident : Data Leak
Title: Data Leak in OCR Labs System
Description: A setup error that exposed private data was found by the Cybernews research team in the OCR Labs system. Defence Bank, Bloom Money, Admiral Money, MA Money, and Reed were all impacted by the data leak. Threat actors could perhaps compromise the backend infrastructure of banks and, as a result, the infrastructure of their customers using disclosed data. The threat to businesses and their customers is significant since financial services are the primary target of cybercriminals. OCR Labs corrected the problem after being contacted by Cybernews.
Type: Data Leak
Attack Vector: Setup Error
Vulnerability Exploited: Exposed Private Data
Threat Actor: Unknown
Motivation: Financial Gain
What are the most common types of attacks the company has faced?
Common Attack Types: The most common types of attacks the company has faced is Data Leak.
How does the company identify the attack vectors used in incidents?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Misconfigured System.
Impact of the Incidents
What was the impact of each incident?
Incident : Data Breach IDV31921023
Data Compromised: Sensitive Credentials, Private Information
Systems Affected: Digital Identification Tool, Backend Infrastructure of Banks and Their Customers
Incident : Data Leak IDV105729523
Data Compromised: Private Data
Systems Affected: Backend Infrastructure
What types of data are most commonly compromised in incidents?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Sensitive Credentials, Private Information and Private Data.
Which entities were affected by each incident?
Incident : Data Breach IDV31921023
Entity Type: Company
Industry: Technology
Customers Affected: Large Banks, Government Organizations
Response to the Incidents
What measures were taken in response to each incident?
Incident : Data Leak IDV105729523
Remediation Measures: OCR Labs corrected the problem
Data Breach Information
What type of data was compromised in each breach?
Incident : Data Breach IDV31921023
Type of Data Compromised: Sensitive Credentials, Private Information
Sensitivity of Data: High
Incident : Data Leak IDV105729523
Type of Data Compromised: Private Data
What measures does the company take to prevent data exfiltration?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: OCR Labs corrected the problem.
References
Where can I find more information about each incident?
Incident : Data Breach IDV31921023
Source: Cybernews Investigation Team
Incident : Data Leak IDV105729523
Source: Cybernews
Where can stakeholders find additional resources on cybersecurity best practices?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Cybernews Investigation Team, and Source: Cybernews.
Initial Access Broker
How did the initial access broker gain entry for each incident?
Incident : Data Breach IDV31921023
Entry Point: Misconfigured System
High Value Targets: Large Banks, Government Organizations
Data Sold on Dark Web: Large Banks, Government Organizations
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident?
Incident : Data Breach IDV31921023
Root Causes: System Misconfiguration
Additional Questions
General Information
Who was the attacking group in the last incident?
Last Attacking Group: The attacking group in the last incident was an Unknown.
Impact of the Incidents
What was the most significant data compromised in an incident?
Most Significant Data Compromised: The most significant data compromised in an incident were Sensitive Credentials, Private Information and Private Data.
What was the most significant system affected in an incident?
Most Significant System Affected: The most significant system affected in an incident were Digital Identification Tool, Backend Infrastructure of Banks and Their Customers and Backend Infrastructure.
Data Breach Information
What was the most sensitive data compromised in a breach?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Sensitive Credentials, Private Information and Private Data.
References
What is the most recent source of information about an incident?
Most Recent Source: The most recent source of information about an incident are Cybernews Investigation Team and Cybernews.
Initial Access Broker
What was the most recent entry point used by an initial access broker?
Most Recent Entry Point: The most recent entry point used by an initial access broker was an Misconfigured System.
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.
