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.

ZAST.AI Helper 是一款為開發人員提供幫助的工具，旨在促進使用 ZAST.AI 系統的操作和安全人員。此 Chrome 擴展程序允許開發人員輕鬆提交測試帳戶會話資訊，這對於進行安全評估和檢測需要用戶身份驗證的系統中的潛在漏洞至關重要。通過與 ZAST.AI 平台無縫集成，該助手確保安全檢查的徹底和便利，使開發人員能夠維護穩健的安全實踐，並保護其應用程序免受潛在威脅。

Ostorlab 利用機器學習和自動掃描引擎，進行端對端的行動應用安全評估。開發者上傳應用二進位檔或連結程式碼庫，Ostorlab 的人工智慧會執行靜態程式碼分析、動態執行測試及網路流量檢查。該平台突出顯示關鍵、高、中風險問題，提供修復建議，並融合到開發流程中，以進行持續監控與合規管理。