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Advancements in AI and ML driving next-gen orchestration needs
The security industry has witnessed rapid technological progress, especially in the domains of artificial intelligence and machine learning. Advanced threat detection techniques powered by ML offers unprecedented visibility into the attack surface and accurate identification of both known and unknown threats. Achieving comprehensive security postures now requires assimilating data from across different sources including endpoints, network traffic, user behavior and applications logs among others. Advanced security tools are leveraging unsupervised and supervised ML in conjunction with orchestration platforms to achieve convergent detection, correlation of disparate events and coordinated response at scale.
Enterprises are keen to adopt next-generation security solutions that can abstract the complexity of combining different data sources and detection outcomes. AI/ML driven automated orchestration platforms are emerging as a key technology to harness the full potential of modern security tools.
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