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Predicting Cybersecurity Threats from Small Network Samples Using AI
Eyal Elyashiv (Co-founder and CEO, Cynamics)
Date: Monday, March 27
Time: 4:30 pm - 5:00 pm
Pass Type: All Access, Quick Pass Monday
Track: Cybersecurity, IoT, Smart-X and AI
Format: Power Session
Vault Recording: TBD
Understand a new paradigm for network security, with an innovative sampling approach, AI algorithms, use-cases and novel vectors that were detected from across the public safety sector. By collecting less than 1% of the network traffic via standard sampling protocols which are built into the network already (firewalls, switches) and using recent artificial intelligence breakthroughs, you can infer how the full 100% network behaves and predict cybersecurity threats and attacks before they hit.