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.

SecGPT 將 LLM 呼叫包裹在層狀安全控制與自動化測試中。開發者在 YAML 中定義安全檔案，將此庫整合到 Python 管道中，並利用模組進行提示注入偵測、防止資料外洩、對抗威脅模擬及合規監控。SecGPT 產生詳細的違規報告、支援 Webhook 警示，並與 LangChain 和 LlamaIndex 等流行工具無縫整合，以確保 AI 部署的安全與合規。

PagerGPT是一個無需編碼的平台，允許企業為網站、文檔和知識庫創建自定義的ChatGPT機器人。它提供強大的集成和先進的功能，例如共享的實時聊天收件箱、多渠道支持和實時分析。用戶可以快速訓練他們的機器人，個性化互動，並與現有工具如Slack和Teams進行集成。PagerGPT具備健全的安全性和合規性，旨在提高客戶互動並簡化支持流程。