Security analytics uses historical and real-time data to identify threats. How can security analytics help organizations with better detection & response?
As organizations continue to expand their already complicated and sophisticated networks, cyber threats continue to increase in complexity, and, more crucially, damage cost. As a result, enterprises face difficulties picking the best security analytics and maintaining cyber security.
In the past, organizations used simple anti-virus software and firewalls to protect their data. Today, with the rising attack surface, there has been an increase in the number of security analytics resources. How do businesses use intelligence and keep track of various technologies available throughout their network to stay ahead of the game?
Organizations cannot anticipate the future, especially where security issues are involved. However, by using security analytics, your business may more thoroughly examine security events and perhaps identify threats before they impact your infrastructure or income. Gaining a complete understanding of an organization’s defenses and security posture requires the implementation of security analytics.
This blog will guide you through the basics of cyber security analytics, some security analytics tools, and what benefits it offers to your organization.
What is security analytics?
Security analytics is an approach to cybersecurity that examines data for any unusual user activity or detects anomalies and other threats. Sequence-based analytics, outlier detection analytics, risk-spotting algorithms, and threat identification are some of the more advanced security analytics capabilities. It combines data from every aspect of an organization and transforms it into helpful insights so that IT may take proactive measures to reduce risks and stop security events.
Advanced network security features like AI and ML technologies now play a crucial part in cybersecurity by automating the detection and response process with real-time threat analysis. An advanced security analytics solution offers proactive visibility across an organization and better external threat intelligence, enhancing user experience and improving business outcomes. Security analytics tools are scalable and can accommodate expanding user bases and network sizes as organizations grow.
Security Analytics Tools
Behavioral analytics: Behavioral analytics studies the patterns and behavioral trends of people, apps, and devices to detect anomalies or other abnormalities that could lead to a security breach or attack.
Forensics: Forensic tools are used to analyze past or ongoing attacks, find how attackers compromised systems, and detect security vulnerabilities and cyber threats that could leave an organization exposed to a future attack.
External threat intelligence: A company that provides external security services may include threat intelligence in its portfolio. The analytical process is supplemented by threat intelligence platforms, offering a context.
Security information and event management (SIEM): Security information and event management (SIEM) integrate several solutions and tools to offer real-time monitoring of security alerts generated by network devices and apps.
Network analysis and visibility (NAV): NAV is a collection of tools that examines end-user and application traffic as it moves throughout the network. It consists of network forensics, packet capture and analysis, flow data analysis, network metadata analysis, and network discovery.
Security orchestration, automation, and response (SOAR): Security orchestration, automation, and response (SOAR) serve as the connecting point between data collection tools, threat analysis, and threat response.
Benefits of Security Analytics
Security analytics have an advantage over conventional security methods as they can examine vast amounts of data from numerous sources instantly. The IT department can use security analytics to quickly identify possible risks and analyze the massive amounts of data coming in and out of its network.
An organization can avoid a potentially expensive data breach or cyberattack by using a security analytics application, which offers real-time insight and a historical record of past threats.
Security Analytics tools comply with industry and government standards that demand actions like activity monitoring and log gathering for forensic and auditing purposes. It also enhances forensics capabilities by revealing data on the source of attacks, how the attackers penetrated the network, and what data was hampered. An organization can reduce the potential impact of a cyber attack by accelerating detection and enhancing the quality of the investigation process. It is now becoming increasingly crucial to have an efficient security analytics solution for ensuring the security of an organization’s data and IT systems.
As attack surfaces grow and the threat environment gets more complicated, organizations will encounter increasing challenges managing their data, making space for attackers and threats to penetrate the network. Organizations can detect internal threats, monitor user activity in real time, and identify suspicious actions using security analytics and machine learning tools.
Security analytics provides you with a clear and complete view of your threat environment by aggregating, correlating, and analyzing your data. Thus, security teams can stay on top of increasingly advanced cyber threats, foresee attacks, and stop them before they cause harm.
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