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.

NB Defense是一個針對Jupyter Notebooks的綜合安全解決方案，由Protect AI開發。它包含一個JupyterLab擴展和一個CLI工具，可以偵測各種漏洞，包括洩漏的秘密、個人識別信息（PII）和常見漏洞。該工具通過持續掃描筆記本，確保安全的機器學習開發，幫助開發人員維持嚴格的安全標準，避免重大的安全事件。