If you are a cybersecurity professional, you must be aware that cyberattacks, especially those that arise from insider threats, are increasing every day. Multiple sources suggest that:

  • Globally, more than 34% of businesses face insider threats yearly.

  • Insider incidents increased by 47% between 2018 and 2020.

  • 85% of businesses find it difficult to detect the damage caused by insider threats.

As for external attacks, Verizon’s 2021 Data Breach Investigations Report found that phishing attacks have increased by 11%, and incidents of ransomware have doubled since 2020. There was also an increase in brute-force attacks last year.

Looking at these stats, you must be wondering, “What should I do to protect my organization from these threats? How do I detect these attacks and prevent them from happening?”

Well, worry no more, for you’ll get the answer to these questions and more from our brand-new book, Anomaly Detection In Cybersecurity For Dummies.

Whether you’re dealing with insider threats or external attacks, you’ll be able to identify and defend against them more effectively only when you have user and entity behavior analytics, aka anomaly detection, integrated with a security analytics solution such as SIEM.

With this book, you’ll understand these three topics:

  • Why anomaly detection is critical
  • How to use risk scoring to achieve better security
  • Five ways to make anomaly detection work for you

With the first topic, you’ll learn what an anomaly is, the different types of anomalies, and how an anomaly detection system uses machine learning algorithms to establish a baseline of expected behavior for users and entities.

The second topic will provide you with a detailed overview of risk appetite, different types of risks, and risk score calculation. Moreover, you’ll gain an understanding of concepts such as peer group analysis and seasonality factors, which will improve your risk scoring and alerting by providing the context behind user behavior.

With the third topic, you’ll learn about customizing anomaly models, accurately scoring risks, watchlisting users and hosts, and getting real-time alerts. You’ll also gain perspective on prioritizing and responding to incidents based on their risk scores.

So what are you waiting for?

Download the book now to understand anomaly detection better than ever before. Happy reading, folks!