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Intelligent observability with AI and Coroot
Silent Observer
Intrusion detection and intrusion prevention are part of everyday life for admins. Solutions for these issues are basically very straightforward beasts that analyze data streams and use sophisticated heuristic methods to identify patterns that point to an imminent or ongoing attack. If any suspicious activity is noticed, an alarm helps you launch countermeasures at an early stage.
The developers at Coroot [1] go beyond the usual intrusion detection systems (IDS) on the market today and offer a kind of artificial intelligence (AI) IDS as a service, revealing several interesting technical details that are worth a closer look.
Dumb Systems
The countermeasures of solutions typically found on the market today can be anything from simple packet filters to sophisticated firewall constructs. Firewalls, for example, leverage connection states as a parameter to decide whether or not to deliver packets. Today's IDS or intrusion prevention systems (IPS) no longer simply police intrusions, they often offer options that automatically identify and warn you about distributed denial of service (DDoS) attacks so that you can immediately block the attack at the network level.
Although these solutions are anything but easy to use because they require a high level of skill and familiarity, these systems are in fact "dumb" in and of themselves. At the end of the day, they just use predefined patterns to determine whether or not an attack is taking place. The principle is similar to that of antivirus software, which only detects malware if it finds a matching signature in its database; it needs a description of the files and checksums that comes with the virus. If this signature is missing for some reason, the program is blind to the threat; thus, a lucrative malware market thrives on the darknet, where previously unknown exploits are sold
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