Advanced Threat Analytics delivers behavioural analysis for advanced security threat detection. Sophisticated, automated behavioural analytics that help you identify suspicious activities and advanced threats in near real time, with simple, actionable reporting.
200+ days. That’s the average amount of time that attackers reside within your network until they are detected, gathering classified data and information, waiting to strike at just the right moment. Microsoft Advanced Threat Analytics helps you identify breaches and threats using behavioural analysis and provides a clear, actionable report on a simple attack timeline.
Detect suspicious activities and malicious attacks with behavioural analytics. Using its proprietary algorithm, Microsoft Advanced Threat Analytics works around the clock to help you pinpoint suspicious activities in your systems by profiling and knowing what to look for. No need for creating rules, fine-tuning, or monitoring a flood of security reports, since the intelligence needed is built in. ATA also identifies known advanced attacks and security issues.
Adapt to the changing nature of cyber-security threats. ATA continuously learns the behaviour of organisational entities (users, devices, and resources) and adjusts itself to reflect the changes in your rapidly-evolving enterprise. As attacker tactics get more sophisticated, ATA helps you adapt to the changing nature of cyber-security threats with continuously-learning behavioural analytics.
Focus on what is important with a simple attack timeline. The constant reporting of traditional security tools and sifting through them to locate the important and relevant alerts can get overwhelming. The attack timeline is a clear, efficient, and convenient feed that surfaces the right things on a timeline, giving you the power of perspective on the who, what, when, and how. ATA also provides recommendations for investigation and remediation for each suspicious activity.
Reduce false positive fatigue. Traditional IT security tools are often not equipped to handle the rising amounts of data, turning up unnecessary red flags and distracting you from the real threats. With ATA, these alerts happen once suspicious activities are contextually aggregated to its own behaviour, as well as to the other entities in its interaction path. The detection engine also automatically guides you through the process, asking you simple questions to adjust the detection process according to your input.