Llama Guard is an AI-driven agent focused on cybersecurity. It continuously monitors network activity, identifies potential threats, and automatically responds to mitigate risks. By utilizing machine learning algorithms, Llama Guard adapts to new vulnerabilities, providing real-time protection for organizations. Its functionalities include threat analysis, incident response, and compliance management, making it an essential tool for safeguarding critical information and minimizing security breaches.

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.