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The Future of AI in Cybersecurity: Machine Learning or Deep Learning?

Presented by

Ryan Heath, Global Channel Technical Manager - Karen Crowley, Director Product Marketing - Jerrod Piker, Product Marketing

About this talk

Cybersecurity has a reaction problem. Companies continue to invest heavily in detection and response tools that rely on legacy machine learning models, yet breaches are growing at an alarming pace. This webinar will talk through: -The evolution of reactive, ML-based cybersecurity tools -The promise of deep learning to solve cyber problems -The differences in AI approaches and what it means for the future of cybersecurity Please join us to understand how you can use AI to become more proactive and turn the tide on bad actors.
Deep Instinct

Deep Instinct

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Fight AI with the best AI.
Deep Instinct, the first and only preemptive data security company built on a deep learning cybersecurity framework, prevents unknown threats in <20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.
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