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Predicting Cybersecurity Threats from Small Network Samples Using AI

Eyal Elyashiv  (Co-founder and CEO, Cynamics)

Location: N258

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.