What is security analytics?

Security analytics is an approach to digital security that analyzes data to detect anomalies, unusual user behavior, and other threats. It aggregates data from across the entire ecosystem and turns that data into actionable insights — so that IT can quickly act to minimize risks. Advanced features like artificial intelligence (AI) and machine learning (ML) further help by automating the detection and remediation process.

In addition to security benefits, a sophisticated security analytics solution provides valuable performance metrics, helps improve the user experience, and ultimately drives better business outcomes.

Explore more topics related to security analytics:

What are the key elements of a security analytics solution?

A security analytics solution should be able to monitor performance as well as analyze data for potential threats. The three main performance areas a security solution should be able to report on include network, applications, and device performance.

If performance is poor in any of these areas, there is a greater likelihood that malware will slip past threat detection solutions and work undetected in the infrastructure. By using security analytics equipped with AI and ML, along with security policies and best practices, organizations can make big strides toward reducing risk.

Data breaches exposed
4.1 billion
records in the first six months of 20193

What are the business and IT needs for security analytics?

Cyberattacks and breaches continue to rise, which is why security is a top business concern for today’s C-suite.1 Whether through malicious activity, insider threats, or unintentional leaks, organizations suffer as a result of lost data.2 Negative repercussions can include loss of revenue or brand reputation, expensive lawsuits, massive governance and compliance fines, and disruptions to operations.

Breaches can wreak havoc for IT teams as well. Remediation after a breach is time-consuming, uses valuable personnel hours, and eats into budget intended for other purposes.

Insider threat via a company’s own employees (and contractors and vendors) is one of the largest unsolved issues in cybersecurity.2

McKinsey & Company

What are the top use cases for security analytics?

One of the top needs for security analytics is a holistic approach that examines internal as well as external user activity because threats don’t just come from outside of the organization. A best-in-class security analytics solution will examine all data, traffic, and activity across the entire infrastructure. This end-to-end view enables IT to take a proactive approach to security, instead of a reactive one.

Watch how analytics solutions help protect your organization from security threats

Top security analytics use cases include:

  • Protecting the business from a loss of valuable intellectual property with real-time insights
  • Monitoring incoming and outgoing traffic on your network
  • Additional security controls for apps, mobile, and cloud
  • Improving visibility for IT across the entire digital workspace environment
  • Empowering IT teams to take a proactive approach to detection versus a reactive approach with remediation

Additional resources: