DFLabs, the leader in Security Automation and Orchestration Technology, announced today the release of its new “Playbook Recommendation and Intelligent Selection Mechanism” (DF-PRISM), enhancing DFLabs’ security automation and orchestration (SAO) platform with incorporated proprietary machine learning. The system uses patent pending advanced methods and algorithms to ingest operational intelligence such as security incident and resolution data to recommend playbooks and actions based on historical incident response activities. This approach minimizes the resources and time required to successfully analyze and respond to ongoing incidents, while maximizing the effectiveness and efficiency of security teams.
