Using AI In Cybersecurity - AI Summary

The rapidly expanding attack surface of virtually every enterprise, with the proliferation of Internet of Things (IoT) devices and cloud systems is a leading reason why artificial intelligence (AI) has become essential in security. Add to this the fact that malicious attackers also have AI at their disposal: Their attacks have become more sophisticated and frequent – with AI allowing them to automate breach attempts. Through AI, it's now possible for a security system to be frequently updated on both global and industry-specific threats, and to prioritize them according to their local potential to occur. It's stated above that much of the problem today is the proliferation of IoT, which opens up the attack surface; AI helps manage the burgeoning ocean of devices, to navigate their firmware updates and security patches, where no human security professional could reasonably be expected to do so. With self-learning, device management, ongoing gap detection and threat exposure, the system can learn to predict the risk of breach under a wide range of scenarios, and even to prioritize those risks – making it possible for the human security professionals to focus their attention on the greatest ones. As AI offers new functionality and potential for new cybersecurity threats, how do these play out as explicit features?