What is the official website of Adaptive ML ?

The official website of Adaptive ML is https://www.adaptive-ml.com.

What is Adaptive ML's cybersecurity risk score?

Adaptive ML has an AI-generated cybersecurity risk score of 765 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Adaptive ML experienced?

According to Rankiteo, Adaptive ML currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Adaptive ML been affected by any supply chain cyber incidents ?

According to Rankiteo, Adaptive ML has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Adaptive ML have SOC 2 Type 1 certification ?

According to Rankiteo, Adaptive ML is not certified under SOC 2 Type 1.

Does Adaptive ML have SOC 2 Type 2 certification ?

According to Rankiteo, Adaptive ML does not hold a SOC 2 Type 2 certification.

Does Adaptive ML comply with GDPR ?

According to Rankiteo, Adaptive ML is not listed as GDPR compliant.

Does Adaptive ML have PCI DSS certification ?

According to Rankiteo, Adaptive ML does not currently maintain PCI DSS compliance.

Does Adaptive ML comply with HIPAA ?

According to Rankiteo, Adaptive ML is not compliant with HIPAA regulations.

Does Adaptive ML have ISO 27001 certification ?

According to Rankiteo,Adaptive ML is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Adaptive ML operate in ?

Adaptive ML operates primarily in the Technology, Information and Internet industry.

How many employees does Adaptive ML have ?

Adaptive ML employs approximately 36 people worldwide.

Does Adaptive ML own any subsidiaries ?

Adaptive ML presently has no subsidiaries across any sectors.

How many LinkedIn followers does Adaptive ML have ?

Adaptive ML's official LinkedIn profile has approximately 6,707 followers.

What is the NAICS classification code for Adaptive ML ?

Adaptive ML is classified under the NAICS code 513, which corresponds to Others.

Does Adaptive ML have a Crunchbase profile ?

Yes, Adaptive ML has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/adaptive-f6c0.

Does Adaptive ML have a LinkedIn profile ?

Yes, Adaptive ML maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/adaptive-ml.

How many cybersecurity incidents has Adaptive ML experienced ?

As of June 10, 2026, Rankiteo reports that Adaptive ML has not experienced any cybersecurity incidents.

How many peer or competitor companies does Adaptive ML have ?

Adaptive ML has an estimated 14,729 peer or competitor companies worldwide.

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Adaptive ML

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765

/1000

Fair

790

/1000

Fair

Adaptive ML Vendor Cyber Rating & Cyber Score

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Adaptive ML A.I CyberSecurity Scoring

Scoring History

Adaptive ML

Adaptive ML CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

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Incident Details

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A.I.

Adaptive ML Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for Adaptive ML

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Adaptive ML in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Adaptive ML in 2026.

Incident Types Adaptive ML vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Adaptive ML in 2026.

Incident History - Adaptive ML (X = Date, Y = Severity)

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SUBSIDIARY

Adaptive ML Subsidiaries

Parent Company

Adaptive ML

Technology, Information and Internet

Website: https://www.adaptive-ml.com

Company Size: 36

No subsidiary data available for this company.

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cb indiamart.com

IndiaMART is India's largest online B2B marketplace, connecting buyers with suppliers across a wide array of industries. IndiaMART provides a platform for Small & Medium Enterprises (SMEs), large enterprises, and individual buyers, helping them access diverse portfolios of quality products. Since 1999, IndiaMART’s mission has been to make doing business easy. Today, over 21.9 Crore buyers can explore and choose from 12.4 Crore products, sourced from 86 Lakh suppliers, creating a one-stop platform for all business needs. IndiaMART offers enhanced business visibility and credibility for suppliers, with tools designed to support business growth and operational efficiency. With a dedicated workforce of over 5000 employees across India, IndiaMART continues to facilitate seamless connections and provide a trusted marketplace for businesses to thrive.

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Mynet

mynet.com

Türk internet kullanıcılarının en çok tercih ettiği dijital platform olan Mynet, 1999 yılından bugüne liderliğini koruyor. Kendi alanında sayısız ilki gerçekleştiren öncü internet devi Mynet, Türkiye'nin dijital ekosisteminin kalkınmasına ve gelişmesine destek olmayı sürdürüyor. Her ay ortalama 42 milyon internet kullanıcısına erişen Mynet'in sosyal ağlardaki toplam kitlesi ise 10 milyonu geride bırakmış bulunuyor. Mynet, ziyaretçilerine her ay 100 milyondan fazla video izletiyor. 1 milyonun üzerinde kullanıcısı olan Türkiye’nin en büyük online video eğitim platformu Vidobu ile Türkçe bilen tüm coğrafyanın ihtiyacı olan eğitimleri, alanında uzman eğitmenler ile veriyor. Böylece yüksek kalitedeki eğitimlerin herkes tarafından, her yerden ve düşük maliyetle erişilebilir olmasını sağlıyor. Ayrıca Vidobu, eğitim sektöründeki Global SAAS projesi olan Corviq ile kurumların kendi özel video öğrenme platformlarını oluşturmasını sağlayan bir altyapı da sunuyor. En büyük oyun stüdyolarından biri olan Mynet Games adı altında yayınladığı oyunlarla 10 milyondan fazla oyuncuyla buluşuyor. Kelime Savaşı oyunu Apple tarafından PubG ve Subway Surfers ile birlikte 2019’un en çok indirilen 3 oyunundan biri olarak açıklandı. ABD pazarına sunduğumuz Homer City, HR Master ve Racing Wheels adlı oyunlarımız dünya sıralamasında zirvede yer almıştır. ABD pazarına hybrid-casual’dan mid-core oyunlara kadar oyun geliştiren CASUAL MONSTER ve RARE FORGE şirketlerimiz ile de oyun sektöründe büyümeye devam ediyoruz.

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NEWS

Adaptive ML CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

March 26, 2026 11:00 AM

Next-Gen Cyber Defense: AI in Adaptive Security Architecture

Explore how AI-driven adaptive security architecture enhances enterprise defense through real-time detection, response, governance, and scalable security...

Read Article

March 02, 2026 08:00 AM

BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction

Cyber-attacks pose a significant risk to digital infrastructure, resulting in losses at both individual and organizational levels,...

Read Article

February 14, 2026 08:00 AM

Machine Learning for Cybersecurity: Best Practices and Tips

Discover how machine learning strengthens cybersecurity with key use cases, model tips, data hygiene, and MLSecOps best practices.

Read Article

February 03, 2026 08:00 AM

AI-enabled cybersecurity framework for future 5G wireless infrastructures

The deployment of fifth-generation (5G) wireless networks is transforming digital connectivity through ultra-low latency, high data rates,...

Read Article

January 13, 2026 08:00 AM

Evolving Zero Trust and Embedded AI – Federal Government Cybersecurity Predictions for 2026

By: Venkat Sundaram, Netskope Although concepts like artificial intelligence (AI) and zero trust have existed in some form for years or even...

Read Article

December 24, 2025 08:00 AM

A serial entrepreneur’s journey from marketing to cybersecurity: Founder Stories

On this episode, Brian Long, CEO and Co-Founder of Adaptive Security, takes us through his journey from digital-marketing entrepreneur to...

Read Article

December 19, 2025 08:00 AM

ACO-tuned randomized decision tree for detecting cyber threats in mobile web applications

Mobile web applications support important services like banking, e-commerce, healthcare as well as communication in the current digital era.

Read Article

December 13, 2025 08:00 AM

The Five Layers of AI Safeguarding the Utility Industry

By utilizing artificial intelligence (AI) and cloud computing, smart cybersecurity systems are helping to bolster the utility industry's...

Read Article

December 04, 2025 08:00 AM

NATWORK: Net-zero self-adaptive activation of distributed self-resilient augmented services

The NATWORK project is working to build and deploy the first energy-efficient, and viable 6G cybersecurity and resilience framework.

Read Article

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-9754

SUMMARY

An authenticated user with the read role may read limited amounts of uninitialized stack memory via specially-crafted issuances of the filemd5 command

Published

Date2026-06-09

Updated

Date2026-06-09

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

cvss4

Base Score: 7.1

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://jira.mongodb.org/browse/SERVER-122207

CVE-2026-9753

SUMMARY

The $_internalApplyOplogUpdate aggregation pipeline stage can be used to execute a document diff containing a malformed binary diff to return memory out-of-bounds or crash the server. $_internalApplyOplogUpdate can be executed by any authenticated user with access to the aggregate command.

Published

Date2026-06-09

Updated

Date2026-06-09

RISK INFORMATION (Score: 8.1)

cvss3

Base Score: 8.1

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

cvss4

Base Score: 7.2

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

5.2

Exploitability

2.8

REFERENCES

https://jira.mongodb.org/browse/SERVER-124959

CVE-2026-9752

SUMMARY

An authorized user could trigger a server crash by running a query with a 2dsphere index on a field that stores a GeoJSON GeometryCollection containing a Polygon with a strict-winding CRS. Strict-winding polygons are intentionally unsupported for indexing, but the guard that rejects them does not inspect members of a GeometryCollection, allowing the unsafe path to be reached which ends with an ensuing null-pointer dereference.

Published

Date2026-06-09

Updated

Date2026-06-09

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

cvss4

Base Score: 7.1

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://jira.mongodb.org/browse/SERVER-123440

CVE-2026-9751

SUMMARY

The ldapQueryPassword parameter, when set through the runtime setParameter command, will log the new password to the mongod.log file in plain text.

Published

Date2026-06-09

Updated

Date2026-06-09

RISK INFORMATION (Score: 5.5)

cvss3

Base Score: 5.5

Complexity: LOW

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

cvss4

Base Score: 6.8

Complexity: LOW

CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.6

Exploitability

1.8

REFERENCES

https://jira.mongodb.org/browse/SERVER-123370

CVE-2026-9750

SUMMARY

An authenticated user can cause a MongoDB server to crash or return incorrect results by creating documents that interfere with internal metadata processing during query execution. This stems from insufficient separation between user-controlled document fields and internal metadata in certain execution paths.

Published

Date2026-06-09

Updated

Date2026-06-09

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

cvss4

Base Score: 7.1

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://jira.mongodb.org/browse/SERVER-123633

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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.

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