Are you leveraging every piece of data to protect your network? Telemetry data is the automated process of collecting and sending data from remote points to an IT system for monitoring and analysis. Telemetry empowers companies to detect anomalies, predict potential breaches, and respond to threats faster.

With the rise of remote work and the increasing prevalence of cyberthreats, companies actively seek robust solutions to safeguard their valuable data assets. One solution that has gained traction recently is Code 42 Incydr, a data risk detection and response platform. Incydr is a SaaS solution that combines data loss prevention (DLP), cloud access security broker (CASB), and user and entity behavior analytics (UEBA) capabilities into a single platform.

Cybersecurity issues more commonly arise from insider activity than outside activity. Of course, attacks by external threat actors still occur, but insider incidents cause most data breaches and leaks. Often, insider threat and insider risk are used interchangeably to describe cybersecurity risks posed by people with inside knowledge of a company.

Telemetry data automatically collects and sends data from various devices to a central location for analysis and monitoring. However, not all data is created equal. To better understand data telemetry and how to leverage it, you also need to understand the different types of data telemetry. This article will discuss various telemetry data examples and types to help you better understand the topic.

Many of us think we’re too smart to get scammed by fake company emails. We also believe our biggest cybersecurity threats will be more complex than they have been in the past, and that today’s scammers and phishers will only target government and financial institutions with cutting-edge hacking and infiltration techniques. Regrettably, the threat of seemingly simple business email compromise (BEC) attacks is as prevalent as ever.

The FBI has named Business Email Compromise (BEC) a $26 billion scam, and the threat is only increasing. Business email compromise (BEC) is a type of cybercrime in which a threat actor uses an email information-seeking scam to target a business to defraud the entire organization. Using social engineering techniques, BEC often occurs over fraudulent emails.

Organizations face many threats today, but not all potential threats are from malicious activities outside the organization. Insider threats are just as significant, if not more significant, of a security risk to companies today. Since 2018, there has been a 40% increase in data breaches caused by company insiders, so they now represent most of them.

When you think of cybersecurity, your mind likely goes to external threat actors — malware, ransomware, spearphishing attacks, and other malicious activity. However, it’s crucial to note that 60% of data breaches are caused by insider threats, and a staggering 74% of organizations are at least moderately vulnerable to them. It’s not everybody else your organization needs to worry about; it’s your own people.

User and Entity Behavior Analytics (UEBA) is a long-term that essentially refers to a security process that utilizes analytics to identify abnormal network behavior. UEBA takes a proactive approach by scanning the actions of users and entities within a network. It doesn’t just react to threats but also establishes a baseline from which it learns to be more precise and timely, empowering you to stay ahead of potential security breaches!

Imagine being able to halt cybercriminals before they strike. This is the power of UEBA (User and Entity Behavior Analytics). UEBA stands out for its capability to identify suspicious activities that could indicate a security breach or insider threat. It does this by analyzing patterns and behaviors, making it a unique and powerful tool in the cybersecurity landscape. This article explores 17 powerful use cases demonstrating why UEBA protects your business.