Security analytics is a method of threat detection and security monitoring that employs data collecting, aggregation, and analysis technologies. Security analytics technologies enable organizations to evaluate security events to discover possible attacks before they have a detrimental impact on the company’s infrastructure and bottom line.

To detect, evaluate, and mitigate internal risks, as well as persistent cyberthreats and targeted attacks from external bad actors, security analytics integrates big data skills with threat intelligence.

Cybersecurity analytics are significant because they allow IT, security teams to take control of cybersecurity monitoring. Security analytics can help your organization get insight across its whole IT ecosystem, enabling faster threat detection and the automation of more manual security activities.

The Role of Security Analytics

Security analytics is a developing field with a lot of potential for enterprises that want to remain on top of vulnerabilities and stay one step ahead of cybercriminals.

A number of factors are driving the expansion of security analytics, including:

Transitioning from protection to detection: Hackers deploy a variety of attack strategies to exploit numerous vulnerabilities. For months, certain risks can go undiscovered. Security analytics systems can monitor common threat trends and send notifications when anomalies are identified.

A unified perspective of the enterprise: Security analytics organizes data in such a way that it can be viewed in real-time as well as in the past. This enables smarter planning, faster resolution, and better decision-making by providing a unified view of risks and security breaches from a central console.

Seeing outcomes and getting a return on investment: IT teams are under increasing pressure to convey their findings to senior management and stakeholders. Security analytics enables analysts to quickly identify risks and respond to security breaches by providing time-to-resolution metrics and fewer false positives.



Organizations benefit from security analytics technologies in numerous ways:

1. Early detection and response to security incidents. To detect threats or security issues in real-time, security analytics solutions analyze data from a variety of sources, connecting the dots between various events and alerts. The security analytics software does this by analyzing log data, combining it with data from other sources, and identifying correlations between events.

2. Adherence to regulatory standards. Compliance with government and industry laws is a primary motivation for security analytics technologies. Security analysis tools integrate a wide range of data types to give companies a single, unified view of all data events across devices, as required by regulations like HIPAA and PCI-DSS.

3. Improved forensics capabilities. For performing forensic investigations into occurrences, security analytics technologies are extremely useful. Security analytics tools can reveal the source of an attack, how a compromise occurred, what resources were affected, what data was lost, and more, as well as a timeline for the incident. Being able to recreate and analyze an incident might assist to inform and enhance organizational defenses in the future, ensuring that similar incidents do not occur.


From boosting data visibility and threat detection to network traffic analysis and user behavior tracking, security analytics offers a wide range of applications. The following are some of the most common security analytics use cases:

  • Employee monitoring
  • Detecting data exfiltration by attackers
  • Detecting insider threats
  • Identifying compromised accounts

Above all, through the correlation of actions and alarms, security analytics aims to turn raw data from various sources into actionable insights in order to identify situations that require prompt attention. Security analytics technologies do this by adding a critical filter to the massive amounts of data provided by people, apps, networks, and other security solutions.