For Security teams, too much time gets consumed by manual triage and investigating new incidents. Intezer leverages propriety artificial intelligence models, a variety of trusted techniques, and unique Genetic Code Analysis technology. For crafting the bottom-line incident triage assessments, Intezer uses machine learning and AI models that take into account the multiple analysis results for each individual evidence alongside information from the user’s existing security tools. Intezer’s automated alert triage process starts by collecting all evidence associated with an alert (file, process, command line, IP, URL, memory image, etc.), deeply analyzes each artifact, and then builds an overall assessment for the incident with smart recommendations. Intezer’s AI-driven technology functions as an extension of your team to help you further reduce your SOC/IR workload, working side-by-side with your existing security stack.

You can read more in Intezer here about Intezer’s AI Framework & autonomous process.