Autonomous Response: The Future Of Cyber Security

How AI Detects And Responds To Cyber Threats Before The Damage Is Done




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Seven Case Studies For Autonomous Threat Response

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The sophistication, speed, and scale of cyber-attacks are all increasing rapidly. As a result, the task of responding to these attacks in real time has exceeded what human professionals can tackle alone. At the same time, the introduction of new attack vectors — including cloud services and IoT devices — has created security blind spots and made merely detecting threats more difficult than ever before.

To offset these risks, artificial intelligence (AI) has become an indispensable tool for security teams across every industry. Cyber AI learns what is normal for each unique user environment it safeguards, enabling it to spot subtle threats against email services, cloud applications, IoT devices, and industrial systems. And when the attackers inevitably strike, AI fights back in seconds.

This report details seven case studies of attacks - including insider threats, ransomware and IoT attacks - that were intercepted and neutralized by AI autonomous response technology.

You can also hear Darktrace speak on Offensive AI - Using AI For Cyber Attacks at the Cyber Security Digital Summit Fall online event.

We respect your privacy, by submitting this form you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest. For further information on how we process and monitor your personal data click here.

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