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DefectDojo is a DevSecOps and vulnerability management tool. DefectDojo allows you to manage your application security program, maintain product and application information, triage vulnerabilities and push findings into 3rd party issue trackers. Consolidate your findings into one source of truth with DefectDojo.

DefectDojo A.I CyberSecurity Scoring

DefectDojo

Company Details

Linkedin ID:

defectdojo

Employees number:

23

Number of followers:

2,019

NAICS:

541514

Industry Type:

Computer and Network Security

Homepage:

defectdojo.com

IP Addresses:

0

Company ID:

DEF_2248731

Scan Status:

In-progress

AI scoreDefectDojo Risk Score (AI oriented)

Between 650 and 699

https://images.rankiteo.com/companyimages/defectdojo.jpeg
DefectDojo Computer and Network Security
Updated:
  • Powered by our proprietary A.I cyber incident model
  • Insurance preferes TPRM score to calculate premium
globalscoreDefectDojo Global Score (TPRM)

XXXX

https://images.rankiteo.com/companyimages/defectdojo.jpeg
DefectDojo Computer and Network Security
  • Instant access to detailed risk factors
  • Benchmark vs. industry & size peers
  • Vulnerabilities
  • Findings

DefectDojo Company CyberSecurity News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenBlog DetailsSupply Chain SourceIncident DetailsView
DefectDojoBreach100511/2025NA
Rankiteo Explanation :
Attack threatening the organization's existence

Description: The article highlights a critical indirect risk tied to DefectDojo’s competitors and organizations relying on third-party AI services (e.g., OpenAI, Anthropic) for cybersecurity operations. If these providers suffer a security breach, their customers including enterprises in defense, pharmaceuticals, or other high-stakes sectors face proxy breaches, exposing sensitive data to exploitation. The breach could compromise proprietary security strategies, vulnerability assessments, or AI-generated recommendations, which adversaries might weaponize to bypass defenses. While DefectDojo’s *Sensei* mitigates this by eliminating third-party dependencies, the broader industry remains vulnerable. A breach in such AI platforms could lead to large-scale data leaks of security postures, exfiltration of training datasets (e.g., phishing templates, risk prioritization models), or manipulation of AI-driven recommendations to introduce blind spots. For sectors like defense, this could escalate to nation-state-level espionage or disruption of critical infrastructure if adversaries reverse-engineer AI-generated security gaps. The cascading impact extends beyond data loss: eroded trust in AI-driven security, regulatory penalties for non-compliance (e.g., GDPR, HIPAA), and operational paralysis if organizations must abandon compromised AI tools mid-incident. The article implicitly warns that third-party AI breaches are not hypothetical they’re a systemic threat to any organization outsourcing core security logic.

DefectDojo (via third-party AI providers like OpenAI/Anthropic)
Breach
Severity: 100
Impact: 5
Seen: 11/2025
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack threatening the organization's existence

Description: The article highlights a critical indirect risk tied to DefectDojo’s competitors and organizations relying on third-party AI services (e.g., OpenAI, Anthropic) for cybersecurity operations. If these providers suffer a security breach, their customers including enterprises in defense, pharmaceuticals, or other high-stakes sectors face proxy breaches, exposing sensitive data to exploitation. The breach could compromise proprietary security strategies, vulnerability assessments, or AI-generated recommendations, which adversaries might weaponize to bypass defenses. While DefectDojo’s *Sensei* mitigates this by eliminating third-party dependencies, the broader industry remains vulnerable. A breach in such AI platforms could lead to large-scale data leaks of security postures, exfiltration of training datasets (e.g., phishing templates, risk prioritization models), or manipulation of AI-driven recommendations to introduce blind spots. For sectors like defense, this could escalate to nation-state-level espionage or disruption of critical infrastructure if adversaries reverse-engineer AI-generated security gaps. The cascading impact extends beyond data loss: eroded trust in AI-driven security, regulatory penalties for non-compliance (e.g., GDPR, HIPAA), and operational paralysis if organizations must abandon compromised AI tools mid-incident. The article implicitly warns that third-party AI breaches are not hypothetical they’re a systemic threat to any organization outsourcing core security logic.

Ailogo

DefectDojo Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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Incident Predictions locked
Access Monitoring Plan

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

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A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for DefectDojo

Incidents vs Computer and Network Security Industry Average (This Year)

No incidents recorded for DefectDojo in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for DefectDojo in 2026.

Incident Types DefectDojo vs Computer and Network Security Industry Avg (This Year)

No incidents recorded for DefectDojo in 2026.

Incident History — DefectDojo (X = Date, Y = Severity)

DefectDojo cyber incidents detection timeline including parent company and subsidiaries

DefectDojo Company Subsidiaries

SubsidiaryImage

DefectDojo is a DevSecOps and vulnerability management tool. DefectDojo allows you to manage your application security program, maintain product and application information, triage vulnerabilities and push findings into 3rd party issue trackers. Consolidate your findings into one source of truth with DefectDojo.

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DefectDojo CyberSecurity News

November 04, 2025 08:00 AM
DefectDojo Supercharges and Safeguards AI-Powered Cybersecurity with DefectDojo Sensei

DefectDojo Supercharges and Safeguards AI-Powered Cybersecurity with DefectDojo Sensei ... AUSTIN, Texas--(BUSINESS WIRE)--DefectDojo, the leader...

October 30, 2025 07:00 AM
Hottest cybersecurity open-source tools of the month: October 2025

This article features open-source cybersecurity tools that are gaining attention for strengthening security across various environments.

July 31, 2025 07:00 AM
DefectDojo Simplifies EU Cyber Reliance Act Compliance with New KEV Enrichment

DevSecOps leader DefectDojo today announced new automated KEV data enrichment features for DefectDojo Pro ahead of new EU compliance laws.

June 24, 2025 07:00 AM
DefectDojo Enables AI-First Cybersecurity with MCP Support

Dojo Pro users can now connect the platform to any third-party or custom model that supports MCP to create a more effective cybersecurity AI with one simple...

May 27, 2025 07:00 AM
DefectDojo Introduces Industry-First Unified SOC & AppSec Platform

DefectDojo, the pioneer in scalable security, unified vulnerability management and DevSecOps, today announced the launch of their next-gen...

May 13, 2025 07:00 AM
DefectDojo Unveils Risk-Based Prioritization Capability to Strengthen Unified Vulnerability Management

DefectDojo, the pioneer in scalable security, unified vulnerability management and DevSecOps, today announced the launch of risk-based...

April 24, 2025 07:00 AM
Prowler recognized as Best Infrastructure Security Tool for Open-Source Security by Leading Open-Source Provider

Prowler Wins Inaugural DefectDojo Award for Open-Source Cybersecurity. SAN FRANCISCO, April 24, 2025 /PRNewswire-PRWeb/ -- Prowler,...

March 13, 2025 07:00 AM
DefectDojo Doubles Down on Open Source with First-Ever Community Month

DefectDojo, the pioneer in scalable unified vulnerability management and DevSecOps, today announced its first-ever Community Month with a...

February 25, 2025 08:00 AM
DefectDojo Launches Rules Engine for Next-Level Vulnerability Automation

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

DefectDojo CyberSecurity History Information

Official Website of DefectDojo

The official website of DefectDojo is https://www.defectdojo.com.

DefectDojo’s AI-Generated Cybersecurity Score

According to Rankiteo, DefectDojo’s AI-generated cybersecurity score is 690, reflecting their Weak security posture.

How many security badges does DefectDojo’ have ?

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

Has DefectDojo been affected by any supply chain cyber incidents ?

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

Does DefectDojo have SOC 2 Type 1 certification ?

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

Does DefectDojo have SOC 2 Type 2 certification ?

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

Does DefectDojo comply with GDPR ?

According to Rankiteo, DefectDojo is not listed as GDPR compliant.

Does DefectDojo have PCI DSS certification ?

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

Does DefectDojo comply with HIPAA ?

According to Rankiteo, DefectDojo is not compliant with HIPAA regulations.

Does DefectDojo have ISO 27001 certification ?

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

Industry Classification of DefectDojo

DefectDojo operates primarily in the Computer and Network Security industry.

Number of Employees at DefectDojo

DefectDojo employs approximately 23 people worldwide.

Subsidiaries Owned by DefectDojo

DefectDojo presently has no subsidiaries across any sectors.

DefectDojo’s LinkedIn Followers

DefectDojo’s official LinkedIn profile has approximately 2,019 followers.

NAICS Classification of DefectDojo

DefectDojo is classified under the NAICS code 541514, which corresponds to Others.

DefectDojo’s Presence on Crunchbase

No, DefectDojo does not have a profile on Crunchbase.

DefectDojo’s Presence on LinkedIn

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

Cybersecurity Incidents Involving DefectDojo

As of January 23, 2026, Rankiteo reports that DefectDojo has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

DefectDojo has an estimated 3,298 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at DefectDojo ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

How does DefectDojo detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an communication strategy with public announcement via press release, communication strategy with ceo statement highlighting self-contained ai benefits..

Incident Details

Can you provide details on each incident ?

Incident : Product Launch

Title: DefectDojo Announces Sensei: A Self-Contained AI Cybersecurity Agent to Mitigate Third-Party Risks

Description: DefectDojo has launched **DefectDojo Sensei**, an AI-powered cybersecurity consultant designed to operate as a self-contained system, eliminating risks tied to third-party AI dependencies (e.g., OpenAI, Anthropic). Built over three years, Sensei leverages self-training evolution algorithms to prioritize risks, recommend tools, and enhance security postures without exposing customer data to external providers. Early adopters in defense and pharmaceutical sectors report exceeded expectations for efficacy and data security. The product addresses growing industry concerns about AI adoption (30% of professionals currently use AI tools; 42% in testing phases) and proxy breaches via third-party vulnerabilities.

Date Publicly Disclosed: 2023-10-10

Type: Product Launch

Motivation: Risk ReductionAI Security InnovationThird-Party Dependency Elimination

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 Breach.

Impact of the Incidents

What was the impact of each incident ?

Incident : Product Launch DEF4095140110425

Brand Reputation Impact: Positive (Enhanced trust in AI security)Proactive risk mitigation perceived as industry leadership

Which entities were affected by each incident ?

Incident : Product Launch DEF4095140110425

Entity Name: DefectDojo

Entity Type: Private Company

Industry: Cybersecurity, AI/ML

Incident : Product Launch DEF4095140110425

Entity Name: Early Adopters (Defense & Pharmaceutical Sectors)

Entity Type: Defense Contractors, Pharmaceutical Companies

Industry: Defense, Healthcare/Pharma

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Product Launch DEF4095140110425

Communication Strategy: Public announcement via press releaseCEO statement highlighting self-contained AI benefits

Lessons Learned and Recommendations

What lessons were learned from each incident ?

Incident : Product Launch DEF4095140110425

Lessons Learned: Third-party AI dependencies introduce proxy breach risks, necessitating self-contained solutions., AI-driven risk prioritization and tool recommendations can democratize cybersecurity expertise., Defense and pharma sectors prioritize self-contained AI to protect highly sensitive data.

What recommendations were made to prevent future incidents ?

Incident : Product Launch DEF4095140110425

Recommendations: Organizations using third-party AI (e.g., OpenAI, Anthropic) should audit data exposure risks., Evaluate self-contained AI solutions like Sensei for high-sensitivity environments., Leverage AI for automated risk prioritization and security posture improvements.Organizations using third-party AI (e.g., OpenAI, Anthropic) should audit data exposure risks., Evaluate self-contained AI solutions like Sensei for high-sensitivity environments., Leverage AI for automated risk prioritization and security posture improvements.Organizations using third-party AI (e.g., OpenAI, Anthropic) should audit data exposure risks., Evaluate self-contained AI solutions like Sensei for high-sensitivity environments., Leverage AI for automated risk prioritization and security posture improvements.

What are the key lessons learned from past incidents ?

Key Lessons Learned: The key lessons learned from past incidents are Third-party AI dependencies introduce proxy breach risks, necessitating self-contained solutions.,AI-driven risk prioritization and tool recommendations can democratize cybersecurity expertise.,Defense and pharma sectors prioritize self-contained AI to protect highly sensitive data.

References

Where can I find more information about each incident ?

Incident : Product Launch DEF4095140110425

Source: DefectDojo Press Release

Date Accessed: 2023-10-10

Incident : Product Launch DEF4095140110425

Source: ISC2 AI Adoption Survey (2023)

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: DefectDojo Press ReleaseDate Accessed: 2023-10-10, and Source: ISC2 AI Adoption Survey (2023).

Investigation Status

What is the current status of the investigation for each incident ?

Incident : Product Launch DEF4095140110425

Investigation Status: N/A (Proactive Product Launch)

How does the company communicate the status of incident investigations to stakeholders ?

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Public Announcement Via Press Release and Ceo Statement Highlighting Self-Contained Ai Benefits.

Stakeholder and Customer Advisories

Were there any advisories issued to stakeholders or customers for each incident ?

Incident : Product Launch DEF4095140110425

Stakeholder Advisories: Defense And Pharmaceutical Sectors Advised To Explore Self-Contained Ai For Sensitive Data., Cybersecurity Professionals Encouraged To Test Sensei’S Risk Prioritization Capabilities..

Customer Advisories: Alpha availability announced; early access for select industries.No customer data shared with third parties; fully self-contained AI.

What advisories does the company provide to stakeholders and customers following an incident ?

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Defense And Pharmaceutical Sectors Advised To Explore Self-Contained Ai For Sensitive Data., Cybersecurity Professionals Encouraged To Test Sensei’S Risk Prioritization Capabilities., Alpha Availability Announced; Early Access For Select Industries., No Customer Data Shared With Third Parties; Fully Self-Contained Ai. and .

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Product Launch DEF4095140110425

Root Causes: Third-Party Ai Dependency Risks In Cybersecurity Tools,

Corrective Actions: Development Of Self-Contained Ai (Sensei) To Eliminate Proxy Breach Vulnerabilities,

What corrective actions has the company taken based on post-incident analysis ?

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Development Of Self-Contained Ai (Sensei) To Eliminate Proxy Breach Vulnerabilities, .

Additional Questions

Incident Details

What was the most recent incident publicly disclosed ?

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2023-10-10.

Lessons Learned and Recommendations

What was the most significant lesson learned from past incidents ?

Most Significant Lesson Learned: The most significant lesson learned from past incidents was Defense and pharma sectors prioritize self-contained AI to protect highly sensitive data.

What was the most significant recommendation implemented to improve cybersecurity ?

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Evaluate self-contained AI solutions like Sensei for high-sensitivity environments., Organizations using third-party AI (e.g., OpenAI, Anthropic) should audit data exposure risks. and Leverage AI for automated risk prioritization and security posture improvements..

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 ISC2 AI Adoption Survey (2023) and DefectDojo Press Release.

Investigation Status

What is the current status of the most recent investigation ?

Current Status of Most Recent Investigation: The current status of the most recent investigation is N/A (Proactive Product Launch).

Stakeholder and Customer Advisories

What was the most recent stakeholder advisory issued ?

Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was Defense and pharmaceutical sectors advised to explore self-contained AI for sensitive data., Cybersecurity professionals encouraged to test Sensei’s risk prioritization capabilities., .

What was the most recent customer advisory issued ?

Most Recent Customer Advisory: The most recent customer advisory issued was an Alpha availability announced; early access for select industries.No customer data shared with third parties; fully self-contained AI.

cve

Latest Global CVEs (Not Company-Specific)

Description

Improper validation of specified type of input in M365 Copilot allows an unauthorized attacker to disclose information over a network.

Risk Information
cvss3
Base: 9.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N
Description

Improper access control in Azure Front Door (AFD) allows an unauthorized attacker to elevate privileges over a network.

Risk Information
cvss3
Base: 9.8
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Description

Azure Entra ID Elevation of Privilege Vulnerability

Risk Information
cvss3
Base: 9.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Description

Moonraker is a Python web server providing API access to Klipper 3D printing firmware. In versions 0.9.3 and below, instances configured with the "ldap" component enabled are vulnerable to LDAP search filter injection techniques via the login endpoint. The 401 error response message can be used to determine whether or not a search was successful, allowing for brute force methods to discover LDAP entries on the server such as user IDs and user attributes. This issue has been fixed in version 0.10.0.

Risk Information
cvss4
Base: 2.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/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
Description

Runtipi is a Docker-based, personal homeserver orchestrator that facilitates multiple services on a single server. Versions 3.7.0 and above allow an authenticated user to execute arbitrary system commands on the host server by injecting shell metacharacters into backup filenames. The BackupManager fails to sanitize the filenames of uploaded backups. The system persists user-uploaded files directly to the host filesystem using the raw originalname provided in the request. This allows an attacker to stage a file containing shell metacharacters (e.g., $(id).tar.gz) at a predictable path, which is later referenced during the restore process. The successful storage of the file is what allows the subsequent restore command to reference and execute it. This issue has been fixed in version 4.7.0.

Risk Information
cvss3
Base: 8.0
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H

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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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