Cybercriminals will never run out of ways to breach the security protocols enterprises put in place. As security systems upgrade their defenses, attackers also level up their attacks. They develop stealthier ways to compromise networks to avoid detection and enhance the chances of penetration.

Adversarial machine learning, for example, emerges as one of the stealthy cyber threats the security community should watch out for. This attack is barely detectable as it targets the machine learning algorithm itself to weaken its ability to detect intrusions or, worse, to manipulate the system to allow attacks to proceed instead of blocking them.