Solutions
A Collaborative and Integrated Cybersecurity framework provides pervasive infrastructure visibility, obtains situational awareness into the content of all network traffic and discrete behaviour of entities operating across the network, which enables actionable intelligence and immediate threat investigations. The ability to provide forensic analysis on massive archives for incident investigation, scalability and powerful analytics and the ability to automate processes, reduce incident time and adapt to changing threats while initiating automated security incident remediation.
A Collaborative and Integrated Cybersecurity framework provides pervasive infrastructure visibility, obtains situational awareness into the content of all network traffic and discrete behaviour of entities operating across the network, which enables actionable intelligence and immediate threat investigations. The ability to provide forensic analysis on massive archives for incident investigation, scalability and powerful analytics and the ability to automate processes, reduce incident time and adapt to changing threats while initiating automated security incident remediation.
In this digital age, businesses are continuously at risk from cyber threats and the risks associated with business interruption. These risks have increased dramatically in recent years as threats develop and become more advanced. Detecting novel attacks and insider threats at an early stage is no easy task. Businesses require a solution that can spot the subtle signals of an advanced attack — without relying on rules or signatures. A solution, that uses unsupervised machine learning to understand the good from the bad on your network, from your users and devices to your cloud infrastructure and everything in between. By monitoring the entire environment, organisations benefit from a unified view of their entire digital estate.
Threat Intelligence technologies have fundamentally changed the way cyberattacks are detected by focusing on attacker behaviour rather than ever-changing malware and tools. By utilising machine learning and correlation technologies, security teams can now reduce alert fatigue and false positives to focus on actual threats to the organisation.
User and Entity Behaviour Analytics (UEBA) aims to provide the next generation of machine learning algorithm capabilities to the traditional SIEM event collection and correlation platforms, by utilising machine learning capabilities to augment traditional rules-based log monitoring.
UEBA aims to reduce the need to create rules and rather rely on machine learning to flag anomalies and risks based on machine learning and trending analysis against users and devices in the environment.
The “Smarter SIEM” allows business to
With the rapid adoption of cloud-based services, it is essential that your SIEM platform can ingest the audit data from these platforms, allowing business to detect and defend against attacks on cloud platforms as well.
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