AI-Based Threat Hunting & the True Impact of Machine Learning on Cybersecurity

Presented by

Aidan Walden, Fortinet; Ramesh Dontha, Digital Transformation Pro

About this talk

Fewer than half of organizations are very or extremely confident in their application security, reports Fortinet, and it’s not hard to see why. Businesses have embraced digitization, with an average of 25 software updates published each month — yet only 21% of teams confirm they are testing each code change, leaving their operations vulnerable. As cyberthreats grow more advanced, the risk of security breach is high and companies need to find a solution. One compelling answer: artificial intelligence. AI-based threat hunting levels up existing cyber security protocols by adding an additional layer of screening — automatically. The technology is able to identify attack patterns and aggregate them into security incidents, to better sort threat detection. By separating real threats from informational alerts and false positives, machine learning reduces the human burden of manual corrections. Organizations that have been looking for a way to increase security while lessening friction may have their answer. Tune into this latest webinar from the security experts at Fortinet, to uncover how AI can upgrade your cybersecurity. Our panel will dive into: — Why traditional WAF applications are insufficient in today’s environment — What “artificial intelligence” and “machine learning” actually do in practice — How an AI-based system can reduce risk without adding friction points

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