AI for security monitoring means using artificial intelligence to help detect, analyse and respond to security threats. It can automatically scan data from cameras, sensors or network traffic to spot suspicious activity. This helps organisations respond faster to issues and reduces the chances of missing important warning signs.
AI-powered threat detection uses artificial intelligence to identify security threats, such as malware or unauthorised access, in digital systems. It analyses large amounts of data from networks, devices or applications to spot unusual patterns that might signal an attack. This approach helps organisations respond faster and more accurately to new and evolving threats compared to…
Cybersecurity metrics design is the process of deciding what to measure in order to track how well security measures are working. It involves choosing specific indicators, like the number of threats detected or how quickly incidents are resolved, to help organisations understand their security posture. These metrics need to be relevant, easy to understand, and…
Threat simulation frameworks are structured tools or platforms that help organisations mimic cyber attacks or security threats in a controlled environment. These frameworks are used to test how well security systems, processes, and people respond to potential attacks. By simulating real-world threats, organisations can find weaknesses and improve their defences before an actual attack happens.
Security log analysis is the process of reviewing and interpreting records generated by computer systems, applications, and network devices to identify signs of suspicious or unauthorised activity. These logs capture events such as user logins, file access, or system changes, providing a trail of what has happened on a system. Analysing these logs helps organisations…
Network flow analytics is the process of collecting, monitoring, and analysing data that describes the movement of information across computer networks. This data, often called flow data, includes details such as source and destination addresses, ports, protocols, and the amount of data transferred. By examining these flows, organisations can understand traffic patterns, detect unusual activity,…
Threat intelligence pipelines are automated systems that collect, process and deliver information about potential cybersecurity threats to organisations. They gather data from multiple sources, filter and analyse it, then provide useful insights to security teams. This helps organisations respond quickly to new threats and protect their digital assets.
Incident response playbooks are step-by-step guides that outline how to handle specific types of security incidents, such as malware infections or phishing attacks. They help organisations respond quickly and consistently by providing clear instructions on what actions to take, who should be involved, and how to communicate during an incident. These playbooks are designed to…
Security monitoring dashboards are visual tools that display important information about the security status of computer systems, networks or applications. They collect data from various sources, such as firewalls and antivirus software, and present it in an easy-to-read format. This helps security teams quickly spot threats, monitor ongoing incidents and make informed decisions to protect…
Penetration test automation is the use of software tools to automatically assess computer systems, networks, or applications for security weaknesses. This approach replaces or supplements manual security testing by running programmed checks to find vulnerabilities. Automation helps organisations test more frequently and consistently, making it easier to spot security issues before they can be exploited…