Offensive Graphs
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Offensive Graphs is an AI-powered platform that ingests network configurations and security scan results to automatically identify and visualize potential attack paths. Security teams and penetration testers can explore interactive graphs of vulnerabilities, prioritize high-risk routes, and generate detailed reports. By leveraging machine learning to analyze asset relationships, it accelerates threat modeling and improves overall risk visibility and mitigation planning.
Predictive Analytics
Operations Tools
Security
Search Technology
#network security
#attack graph
#threat modeling
#machine learning security
#Risk Assessment
#security compliance
#Data Visualization
#incident response
#vulnerability management
#privilege escalation
#cyber threat analysis
#Automation Tools
#security analytics
#attack paths
#remediation prioritization
#cloud security
#firewall analysis
#active directory security
#security assessments
#risk mitigation
...
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Offensive Graphs is an AI-powered platform that ingests network configurations and security scan results to automatically identify and visualize potential attack paths. Security teams and penetration testers can explore interactive graphs of vulnerabilities, prioritize high-risk routes, and generate detailed reports. By leveraging machine learning to analyze asset relationships, it accelerates threat modeling and improves overall risk visibility and mitigation planning.
Predictive Analytics
Operations Tools
Security
Search Technology
#network security
#attack graph
#threat modeling
#machine learning security
#Risk Assessment
#security compliance
#Data Visualization
#incident response
#vulnerability management
#privilege escalation
#cyber threat analysis
#Automation Tools
#security analytics
#attack paths
#remediation prioritization
#cloud security
#firewall analysis
#active directory security
#security assessments
#risk mitigation
...
Featured
What is Offensive Graphs?
Offensive Graphs leverages advanced machine learning algorithms to seamlessly ingest diverse network data sources such as firewall rules, Active Directory configurations, cloud assets, and vulnerability scanner outputs. It automatically constructs comprehensive attack graphs that reveal the most effective lateral movement and privilege escalation paths an adversary might exploit. Users can interactively explore these graphs in a user-friendly web interface, apply filters by risk level or asset criticality, and drill down into detailed risk factors. The platform also prioritizes remediation tasks based on aggregated threat scores and generates customizable reports to support compliance and incident response. By automating complex threat modeling, Offensive Graphs significantly reduces manual effort while enhancing the accuracy and coverage of security assessments.
Who will use Offensive Graphs?
- Security analysts
- Penetration testers
- Red team operators
- Network administrators
- Compliance officers
How to use the Offensive Graphs?
- Step1: Sign up for an account on the Offensive Graphs web portal.
- Step2: Connect and authorize data sources such as network configurations and vulnerability scanners.
- Step3: Configure scanning parameters and asset criticality levels.
- Step4: Launch the AI-driven attack path analysis.
- Step5: Review the generated interactive attack graphs and prioritize high-risk paths.
- Step6: Export detailed reports and assign remediation tasks to stakeholders.
Platform
- web
Offensive Graphs's Core Features & Benefits
The Core Features
- Automated ingestion of network and security data
- AI-driven attack path generation
- Interactive graph visualization
- Risk-based path prioritization
- Customizable reporting
The Benefits
- Faster threat modeling and assessment
- Comprehensive coverage of potential attack routes
- Improved visualization of complex relationships
- Prioritized remediation based on risk scores
- Reduced manual effort in security analysis
Offensive Graphs's Main Use Cases & Applications
- Enterprise security assessments
- Red team engagements
- Compliance audits and reporting
- Incident response planning
- Cloud infrastructure risk analysis
Offensive Graphs's Pros & Cons
The Pros
Open-source with a focus on security applications of LLMs.
Provides realistic attack emulation and detailed planning tools.
Educational resource supported by blog series and clear documentation.
Encourages community contributions and collaboration.
The Cons
Usage is limited to ethical and legal boundaries, requiring user caution.
For security-critical features, some research may be released only after responsible disclosure, possibly limiting transparency.
Requires technical setup including Python environment and API keys, which may be a barrier for less technical users.
FAQs of Offensive Graphs
Offensive Graphs Company Information
Analytic of Offensive Graphs
Visit Over Time
Monthly Visits
378
Avg Visit Duration
00:00:00
Page Per Visit
1.01
Bounce Rate
40.08%
Jun 2025 - Aug 2025 All Traffic
Geography
Top 1 Regions
Spain
100%
Jun 2025 - Aug 2025 Worldwide Desktop Only
Traffic Sources
Search
44.97%
Direct
34.30%
Referrals
13.64%
Social
4.48%
Paid Referrals
1.33%
Mail
0.26%
Jun 2025 - Aug 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| playground for privilege serie | 50 | $ -- |
Offensive Graphs Reviews
5/5
Offensive Graphs's Main Competitors and alternatives?
- BloodHound
- SpiderFoot
- AttackIQ
- MITRE ATT&CK Navigator
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