Cylance AI set the standard as one of the first machine learning (ML) models for cybersecurity. Now in its seventh generation, Cylance AI has trained on billions of diverse threat data sets over several years of real-world operation. Tested across an array of cybersecurity applications, its performance has proven unparalleled effectiveness for identifying and preventing malware.

While many security providers’ claims around using AI or ML in their offerings may be true, they may be using AI to optimize and automate some aspects of their heuristics or signature-generation processes. Ultimately falling short of the full promise of AI—preventing cyberthreats.

As both a pioneer and innovator in cybersecurity AI, the Cylance AI team has, and continues to lead in research, development, application, depth and effectiveness. Specifically, when applying AI and ML to the challenges of cybersecurity. And our data science-led approach to strengthen AI models against future threat variants offers a clear advantage over solutions that use AI as a plugin or add-on feature.