Organizations still get hit with malware and ransomware in spite of that fact that antivirus and firewall solutions are in place. For this reason, a layered security approach will be more effective to catch malware infections before they start running.

SureLog SIEM comes with advanced correlation engine, behavioral analytics and Machine Learning (ML) models to automate pattern discovery while facilitating intelligent rule creation. As a subfield of Artificial Intelligence (AI), SureLog’s ML uses algorithms to find patterns in data and models

SureLog standardizes the category of activities collected from log and machine data. SureLog has a common taxonomy which provides many advantages. The basic idea here is that SureLog attempt to map various properties of the event into standard taxonomies or classifications. This

With SureLog SIEM it is possible to see what happened by looking at a picture instead of dive into the logs. Network Activity Map Searching for text is the most basic way to find what you’re looking for. It is very time consuming

SureLog is a solution that allows you to build your own search logic without a new script language. SureLog has many options to query logs. Immediate Search Search Wizard SQL Immediate Search SureLog has many shortcuts to search logs. On every single report

Next generation detection engine of SureLog SIEM combining rule based and ML based techniques. SureLog utilizes machine learning models and advanced correlation rules together and dynamically update each of them. [1] Anomaly detection via  classification Anomaly detection with SureLog infers a probabilistic

We will show you how SureLog SIEM can effectively identify and stop malware on the host.   Use case: Malware Dropped to a HOST   URL link over an email received User clicked on it and provided the required information User received a

  There are many references to Windows Advanced logging. [1] [2]. Windows has some great built-in capabilities for detecting abuse — capabilities and SureLog implemented those referances and this is the fastest way to hunt windows endpoints. Everyting is ready as a reports

  SureLog recently integrated with Kibana, an open-source data visualization tool that provides additional flexibility when navigating data. This allows users to create custom visualizations and interactive dashboards for greater visibility into an environment. Why Use Kibana? Kibana offers histograms, line graphs, pie charts,

The SureLog application features dashboards on various security topics. Dashboards deliver monitoring and reporting metrics to track the state of security throughout the network. These are simple to configure and user friendly, while allowing users to read a summary of

Organizations need to guard against not only outsider cyber criminals but also rogue insiders. To effectively deal with insider threats, a layered security approach leveraging both preventive and detective security controls should be in place. SureLog focuses on insider threats,

DNS is probably the best source of data for detecting an attacker’s command and control activity, which can be isolated by looking at outbound DNS requests. Botnets play an important role in malware distribution and they are widely used for spreading

A popular technique for hiding malware running on operating systems is to give it a name that’s confusingly similar to a legitimate operating system process, preferably one that is always present on all systems. Processes whose names are confusingly similar

There are malware tools available that can create Windows services with random service names and descriptions. Emotet infection is an example of malicious services created on the machine. This is due to how Emotet installs itself on a machine, creating

Cyber Criminals are using various malicious tools for cyber-attacks based on the target’s strength to infiltrate the sensitive data and more often nowadays Publicly Available Hacking Tools are mainly used by threat actors for various attacks around the world. Here

Today's computer networks produce a huge amount of security log data. The security event correlation scalability has become a major concern for security analysts and IT administrators when considering complex IT infrastructures that need to handle huge amount of security

A SIEM’s power is in its correlation. SureLog has advanced threat detection capabilities. SureLog combines alerts, advanced correlations, profiles, user behavior rules to detect threats. Also SIEM can help to be compliant with the GDPR by providing visibility into log data,

Not all security information and event management (SIEM) use cases are equally important. The most important feature of SIEM is use cases. These are the samples of SIEM use cases and behaviors that SureLog can detect in your infrastructure. SureLog Use

SureLog Rule As a Code [1] streaming platform detection capability is more than traditional SIEM correlation engine. SureLog is real-time security analytics platform that ingests, normalizes, enriches, triages, and manages application and security data at scale. Let’s look at a chain

Security Information and Event Management (SIEM) solutions are an important tool in a modern day security team’s arsenal, providing visibility into suspicious activity and attack attempts. They help teams continually assess an organization’s security posture and identify areas of focus to