Today, the topic of cyber-security has moved from IT and the datacentre to the highest levels of the boardroom. Attacks and threats have grown substantially more sophisticated in frequency and severity.
Attackers reside within a network an average of 8 months before they are even detected. In the vast majority of attacks, they compromise user credentials and they are increasingly using legitimate IT tools rather than malware. This post has a look at this and how Advanced Threat Analytics can help.
Employees today use several devices across a variety of locations to access a constantly changing set of resources. This complex activity creates a blindspot in user behaviour, opening up your network to malicious attackers. This clip tells you more about this and how to better identify advanced threats:
- Detect threats fast with behavioural analytics: No need to create rules, fine-tune, or monitor a flood of security reports with self-learning and advanced, ready-to-analyse intelligence.
- Adapt as fast as your attackers: Rely on continually updated learning that adapts to the changing nature of your users and business.
- Focus on only important events: Review the attack timeline for a clear and convenient view of suspicious activity or persistent threats.
- Reduce false positive fatigue: Receive alerts only after suspicious activities are contextually aggregated and verified.
- Prioritise and plan for next steps: Get recommendations for investigation and remediation of each suspicious activity.
For more information on Advanced Threat Analytics, click here.
