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Cybersecurity in 2020: focus on security analytics

by Louise
Posted02.19.20 Cybersecurity Trends
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security analytics in 2020

There are over 26 billion Internet of Things (IoT) devices in our workplaces. According to the research firm Risk Based Security, 2019 was the “worst year on record”[1] for data breaches with an increase of 33% over the previous year. In 2020, cybersecurity will continue to be an important topic, and in this blog we’ll explore the area of security analytics.

 

I- 2020: The year of modern cybersecurity

 

What role will security analytics take? Analytics tools seem to be a great solution to help protect against data breaches.

How to anticipate data breaches?

 

Security analytics is a process that consists of analyzing raw security data to improve security at the enterprise level. It can be preemptive and actionable to anticipate breaches. It uses data collection, aggregation and analysis tools to monitor and detect threats. The more difficult part of security analytics is finding the active threats and identifying an appropriate response.

Data can come from many sources including; operating systems and event logs, routers, firewalls, and viruses, to name a few. Analysis of this data can help create appropriate algorithms to anticipate data breaches. The analysis aggregates data from solutions such as Security Information and Event Management (SIEM) to collect real-time data and create correlations, Identity Access Management (IAM) to allow user connection, Privileged Access Management (PAM) to identify which users can access the software, as well as Customer Relationship Management (CRM) and Data Loss Prevention (DLP).

With Machine Learning, security analytics are possible. It allows real-time data and analysis and is playing an important role in modern cybersecurity.

Machine Learning allows real-time data
Why machine learning is important in modern cybersecurity

 

 

II- How can your organization benefit from security analytics?

 

 

  • Provide proactive security: Enable the detection of attacks or security incidents in real-time. Identify breaches faster.
  • Compliance: Governement or industry sector regulations can assist in standardizing data monitoring and analysis.
  • Improve forensics capabilities: Quickly identify where the network breach is, as well as what data has been lost, or compromised. All of this information can help to improve your cybersecurity.

 

With Alcatel-Lucent OmniVista Cirrus and OmniVista 2500 NMS, you can have access at a simple, secure cloud-based network management and offer the benefits of the management from the cloud.

To protect your organization from data breaches and hackers you need to ensure your company employs modern cybersecurity. Machine Learning and the security analytics are two tools to assist in the event of a data breach. Get more information about Alcatel-Lucent Enterprise management and security products on our website.

Want more infomation about cybersecurity? Check out our blog entitled WPA3: how to prevent KRACK attacks on your Wi-Fi networks?

[1] Risk based security – 2019, on track for another worst year on record

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