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To many organizations, endpoint detection and response (EDR) is seen as the latest cybersecurity innovation and the tool to keep their network safe. However, with attacks now only needing 60 seconds after executing to cause significant damage to an organization’s network, EDR solutions give an organisation a false sense of security.

With attackers now looking to cause as much damage as possible in the shortest time possible, security teams can no longer react to a cyberattack but must start preventing them altogether. So how can organizations start preventing cyberattacks and protecting themselves?

Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy.

Chuck Everette joins me on Tech Talks Daily to discuss why EDR solutions are not secure enough to stop cyberattacks which have a low dwell time and why prevention-first solutions will be the next layer in an organisation’s security stack. Finally, we discuss how deep learning, a subset of AI, will shift an organisation’s mindset from detecting and responding to cyberattacks to actually predicting and preventing them.

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