Company Details
microsoft-ai
1,475
40,851
5112
microsoft.ai
0
MIC_1168936
In-progress

Microsoft AI Company CyberSecurity Posture
microsoft.aiAt MAI, we are pioneering the future of what AI and consumer technology can be.
Company Details
microsoft-ai
1,475
40,851
5112
microsoft.ai
0
MIC_1168936
In-progress
Between 700 and 749

Microsoft AI Global Score (TPRM)XXXX

Description: The Microsoft AI research division unintentionally published 38TB of critical information while posting a container of open-source training data on GitHub, according to cybersecurity company Wiz. Secrets, private keys, passwords, and more than 30,000 internal Microsoft Teams communications were discovered in a disk backup of the workstations of two workers that was made public by the disclosed data. Wiz emphasized that because Microsoft does not offer a centralized method to manage SAS tokens within the Azure interface, it is difficult to track them. Microsoft claimed that the data lead did not reveal customer data, that no customer data was leaked, and that this vulnerability did not put any internal services at risk.


No incidents recorded for Microsoft AI in 2025.
No incidents recorded for Microsoft AI in 2025.
No incidents recorded for Microsoft AI in 2025.
Microsoft AI cyber incidents detection timeline including parent company and subsidiaries

At MAI, we are pioneering the future of what AI and consumer technology can be.

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business mode

OpenText is a leading Cloud and AI company that provides organizations around the world with a comprehensive suite of Business AI, Business Clouds, and Business Technology. We help organizations grow, innovate, become more efficient and effective, and do so in a trusted and secure way—through Inform

About Lazada Group Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the regio

At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team membe

We’re the delivery market leader in Latin America. Our platform connects over 77.000 restaurants, supermarkets, pharmacies and stores with millions of users. Nowadays we operate in more than 500 cities in Latinamerica. And we are now over 3.400 employees. PedidosYa is available for iOS, Android and
We help those who build the future to make it amazing. In an era where new technologies are born every minute, and the demand for meaningful digital experiences has never been so intense, we unlock our customers’ innovative potential, empowering them to transform their boldest ideas into reality, an

The first business of Alibaba Group, Alibaba.com (www.alibaba.com) is the leading platform for global wholesale trade serving millions of buyers and suppliers around the world. Through Alibaba.com, small businesses can sell their products to companies in other countries. Sellers on Alibaba.com are t

At Agoda, we bridge the world through travel. We aim to make it easy and rewarding for more travelers to explore and experience the amazing world we live in. We do so by enabling more people to see the world for less – with our best-value deals across our 4,700,000+ hotels and holiday properties, 13

We help organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Our software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into th
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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Microsoft AI is https://microsoft.ai/.
According to Rankiteo, Microsoft AI’s AI-generated cybersecurity score is 724, reflecting their Moderate security posture.
According to Rankiteo, Microsoft AI currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Microsoft AI is not certified under SOC 2 Type 1.
According to Rankiteo, Microsoft AI does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Microsoft AI is not listed as GDPR compliant.
According to Rankiteo, Microsoft AI does not currently maintain PCI DSS compliance.
According to Rankiteo, Microsoft AI is not compliant with HIPAA regulations.
According to Rankiteo,Microsoft AI is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Microsoft AI operates primarily in the Software Development industry.
Microsoft AI employs approximately 1,475 people worldwide.
Microsoft AI presently has no subsidiaries across any sectors.
Microsoft AI’s official LinkedIn profile has approximately 40,851 followers.
Microsoft AI is classified under the NAICS code 5112, which corresponds to Software Publishers.
No, Microsoft AI does not have a profile on Crunchbase.
Yes, Microsoft AI maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/microsoft-ai.
As of November 27, 2025, Rankiteo reports that Microsoft AI has experienced 1 cybersecurity incidents.
Microsoft AI has an estimated 26,613 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Data Leak.
Detection and Response: The company detects and responds to cybersecurity incidents through an third party assistance with wiz..
Title: Microsoft AI Research Division Data Leak
Description: The Microsoft AI research division unintentionally published 38TB of critical information while posting a container of open-source training data on GitHub.
Type: Data Leak
Attack Vector: Accidental Data Exposure
Vulnerability Exploited: Improper data management practices
Common Attack Types: The most common types of attacks the company has faced is Data Leak.

Data Compromised: Secrets, Private keys, Passwords, Internal microsoft teams communications
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Secrets, Private Keys, Passwords, Internal Microsoft Teams Communications and .

Entity Name: Microsoft AI Research Division
Entity Type: Organization
Industry: Technology
Customers Affected: None

Third Party Assistance: Wiz.
Third-Party Assistance: The company involves third-party assistance in incident response through Wiz, .

Type of Data Compromised: Secrets, Private keys, Passwords, Internal microsoft teams communications
Sensitivity of Data: High

Lessons Learned: Difficulty in tracking SAS tokens due to lack of centralized management in Azure interface.
Key Lessons Learned: The key lessons learned from past incidents are Difficulty in tracking SAS tokens due to lack of centralized management in Azure interface.

Source: Wiz
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Wiz.

Root Causes: Improper data management practices
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Wiz, .
Most Significant Data Compromised: The most significant data compromised in an incident were Secrets, Private keys, Passwords, Internal Microsoft Teams communications and .
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was wiz, .
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Internal Microsoft Teams communications, Private keys, Passwords and Secrets.
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Difficulty in tracking SAS tokens due to lack of centralized management in Azure interface.
Most Recent Source: The most recent source of information about an incident is Wiz.
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Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

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