The average period of time between an issue’s emergence and detection is known as the Mean Time To Detect (MTTD). It gauges how quickly incidents are found by the security team and how quick businesses are to address them. It provides a time estimate for the problem’s resolution. Lower MTTD values signify that monitoring and detecting processes are in place and working well. The likelihood that the MTTD will successfully mitigate an event increases with its length.

The mean time to respond (MTTR) measures the amount of time it takes for your security team to respond to an alarm or cyberattack. Or, to put it more plainly, it is the amount of time it takes a company to eliminate a threat, vulnerability, or failure that has been identified. Inadequate performance in this parameter over time may increase the cost of a breach or the unavailability of the system.

The information a company utilizes to understand the dangers posing a threat to them is known as threat intelligence, sometimes known as cyber threat intelligence. This information, gathered through past information, projections, and proof, aims to comprehend the motivations and actions of the threat actor. It aids businesses in proactively detecting, planning for, and preventing cyberattacks. By identifying common indications of compromise (IOC) and suggesting preventative steps, threat intelligence feeds assist this process.

Through data analysis, cyber security analytics gather, examine, and reduce cyber security threats. To find dangers in IT systems, software, algorithms, and analytics are used. Cyber security analytics can protect a company from potentially costly data breaches and cyberattacks by seeing aberrant activity before an actual attack happens. Before they may harm your infrastructure, data assets, or bottom line, the technologies give you the ability to identify risks including external malware, targeted attacks, and hostile insiders.