Advanced Threat Management

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Fast Insights on Security Threats

Data hackers will spend an average of 200+ days gathering classified data and information inside your network before they're detected. Microsoft Advanced Threat Analytics (ATA) uses behavioral analysis to help you identify breaches and threats almost immediately. Everything is reported on a simple, actionable attack timeline.

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Cybersecurity is no longer a topic discussed among IT teams. From the datacenter to the board room, everyone is aware that attacks and threats have grown substantially more sophisticated in frequency and severity. Everything from customer privacy to brand identity and personal reputations are at risk. Bank accounts can be hacked. Customers, trade secrets, intellectual property and the competitive advantage they provide can all be lost if there isn't a strong defense system in place.

  • 200 days: the average time attackers stay in a network prior to detection
  • $500 billion: the estimated cost of cybercrime to the global economy
  • Over 75%: the percentage of all network intrusions that are traced back to compromised credentials
  • $3.5 billion: the average cost of a data breach to a company


Detect threats fast with behavioral analytics

Threats are detected quickly

Suspicious activities in your systems are pinpointed by Microsoft ATA's proprietary algorithm. Behavioral analytics work around the clock to profile behaviors and identify known advanced attacks and security issues. It learns what to look for.

Adapt as fast as your enemies

Set priorities using the attack timeline

Locating important and relevant security alerts with traditional security tools can be overwhelming. ATA's attack timeline is a simple, efficient and convenient feed that gives you the power of perspective. See who, what, when and how on a timeline that also includes recommendations for investigation and remediation of each suspicious activity.

Focus on what's important using the simple attack timeline

Adapts as fast as attackers

ATA continuously learns from the behavior of users, devices and resources within your organization, adjusting itself to reflect your enterprise's rapid changes. Attackers' tactics will only get more sophisticated, but ATA's continuously-learning behavioral analytics will help you adapt to the changing nature of cybersecurity attacks.

Reduce false positive fatigue

Reduce false positive fatigue

Traditional security tools often distract you from real threats as they turn up unnecessary red flags. They're often ill equipped to handle the exponential growth of data within your enterprise. ATA only sends alerts once suspicious activity has been contextually aggregated to its own behavior and the other entities in its interaction path. The detection engine guides you through the process automatically, asking you simple questions that help adjust the detection process based on your input.



Step 1: Analyze

Microsoft Advanced Threat Analytics uses deep packet inspection technology to analyze all Active Directory traffic and collect relevant events from SIEM and other sources.


Step 2: Learn

ATA's self-learning technology allows it to build an Organizational Security Graph, which is a map of entity interactions that represents the context and activities of your organizations users, devices and resources.


Step 3: Detect

ATA works around the clock to identify anomalies in the entities behavior and raises red flags only when necessary. Known attacks and security issues are also identified by leveraging security research.


Step 4: Alert

Suspicious activities, known security issues and malicious attacks are detected almost instantly and propagated on a simple attack timeline that provides clear, actionable information.

Read how Advanced Threat Analytics works