Staying ahead of cyberthreats is a relentless but necessary task. Although AI and machine-learning solutions have value, they can take too long to get up to speed, giving cybercriminals ample time to do their work. But is there any other way to prevent malicious attacks?
Deep Instinct takes prevention a step further, by taking lessons learned from offline processing to build the brain that gets deployed to the device. This static analysis means that suspected malicious files don't get downloaded to the machine at all.
This webcast and associated whitepaper reviews Deep Instinct, the deep learning cybersecurity software for zero-time prevention. Join SANS analyst and senior instructor Jake Williams and Deep Instinct business development and solution engineering executive Logan Gilbert as they explore how Deep Instinct can help organizations prevent security attacks.
Register today to be among the first to receive the associated whitepaper written by Jake Williams.