As cybersecurity professionals, we try to prevent attackers from gaining access to our networks but protecting perimeters that have grown exponentially with the rise of mobile devices, distributed teams, and the internet of things (IoT) is not easy. The unpalatable truth is that sometimes the attackers are going to get through and the cost of a data breach grows the longer it takes you to uncover the attack.
You’ll find that IDS is typically divided into two groups: There’s signature-based IDS, which scans for known malicious traffic patterns and alerts when it discovers them, and there’s anomaly-based IDS, which looks at baselines rather than signatures to expose deviations from the norm.
It’s crucial to deploy IDS across your network, from internal servers to data centers to public cloud environments if you want to safeguard your data and systems. It’s worth noting that IDS can also reveal misbehavior on the part of your employees, encompassing insider threats and plain old laziness in the form of streaming Netflix all day or chatting on Facebook Messenger.
Luckily, there are many open source intrusion detection tools that are worth checking out and we’ve got five examples for you right here.