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How to Quickly Identify Slow Running Queries

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False Positives

False Positives are those patterns that don’t always reveal the complete report when you closely examine a condition taking place within a database. Using security information and event management (SIEM), security threats can be revealed by running software. Every so often, an unanticipated logic will deliver a faulty trigger in the midst of accurate patterns.

When a rule’s definition is without logic and is too broad, a false positive is commonly the result. In this condition, events matching the current rule are not identified correctly. Despite not being a legitimate threat to security, false positives can become a distraction from threatening incidents.

DNS configuration problems that constantly produce authentication issues on a network are an example of a false positive that should not be ignored. In this situation, logic should be added to the rules to weed out distracting noise. Getting in the habit of ignoring false positives can leave you susceptible to negligence, which generally results in malicious attacks to your system’s vulnerability.

How to Identify False Positives How to Quickly Identify Slow Running Queries

How to Identify False Positives

Using SIEM to discover a false positive is a hit-or-miss process of elimination. By examining one pattern at a time to evaluate its interrelationship with the database, SIEM will actually help to identify all the non-threatening events to be phased out from the process. The objective is to make an educated choice based on the data sequences. Starting with a wide set of data, we narrow the results down through logic. Quest helps you solve complex problems with simple solutions. Contact them and get your questions answered.

Choosing the Right Software for Threat Detection How to Quickly Identify Slow Running Queries

Choosing the Right Software for Threat Detection

Software that models individual user behavior patterns is ideal for detecting anomalous activity that shows suspicious users or compromised accounts. Auditor Threat Detection is an example of software that has the ability to analyze user activity by using proprietary advanced learning technology. Additional tools used by such software include user and entity behavior analytics (UEBA) and sophisticated scoring algorithms.  

Operating System Monitoring How to Quickly Identify Slow Running Queries

Operating System Monitoring

To keep track of the status of an operating system, monitoring tools track failures. The main features of monitoring tools are:

  • Sends alert messages to the administrator after it identifies problems.
  • Log historical information in real time
  • Locate optimal settings
  • Identify the number of users on a network
  • Monitor network traffic in real time or a time of operation with an analysis following the process

These tools cover:

  • Servers
  • Networks
  • Databases
  • Security
  • Performance
  • Website and Internet Usage
  • Applications
Call Monitoring Software How to Quickly Identify Slow Running Queries

Call Monitoring Software

Another feature included in operating system monitoring is call monitoring software for business. Instead of monitoring calls, this software uses call monitoring software to identify callers. One such software on the market, VPI Business Rules Engine provides a look at some features offered with this software. With this software, the administrator will be able to:

  • Use keywords to identify the origin of calls.
  • Examine sales techniques by monitoring staff through call recordings.
  • Monitoring department production to improve output.

The Future of IT Monitoring

There are several methods to efficient IT monitoring that combine numerous software results. However, there is no global technique that caters to every condition of an IT environment. IT specialists have adopted a 4-step strategy to engineer an IT monitoring strategy that infrastructure and operations leaders (I&O) employed to set up targeted datasets and presentation personas.

The most noteworthy conclusions indicate that I&O leaders are turning over a new leaf in innovative monitoring systems which present the following approaches:

  • Devaluation of blind spots by prioritizing a list of targets through direct communication with IT stakeholders.
  • Enabling capabilities to influence decision making, dependent upon diagnostic capabilities, identification of telemetry and data sources, and IT operations.
  • Cross-domain supplementation monitoring with domain targeted outputs.
  • Identifying IT operations control mini-suites by prioritizing integration.

By 2022, 40% of businesses will streamline the data exchange and interchange functions in artificial intelligence for IT applications (AIOps), an advance that will reduce IT operations management (ITOM) integration challenges. The Gartner Report, an expert on Cloud IT Operations Monitoring, anticipated that 15% of corporations will implement holistic monitoring by 2021 putting $255 billion of investments in cloud-based solutions.

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