Knowledge Base | Duo Security (2024)

FAQs

What is knowledge base security? ›

Knowledge Base Security & Access Control

This includes information such as customer data, financial information, and company secrets. Without proper security and access control, this information could be accessed by unauthorized individuals, which could lead to data breaches and other security incidents.

This includes principles like not sharing personal information online, managing their digital footprint carefully, using strong passwords to keep professional accounts secure, and being mindful of phishing scams which have boomed in recent years.

Knowledge-based decision support systems are systems designed to ensure more precise decision-making by effectively using timely and appropriate data, information, and knowledge management for convergence industry.

A knowledge base is a self-serve online library of information about a product, service, department, or topic. The data in your knowledge base can come from anywhere. Typically, contributors who are well versed in the relevant subjects add to and expand the knowledge base.

Knowledge-based authentication (KBA) uses personal questions to verify a customer's identity. Users are prompted to answer a series of security questions before gaining access to their accounts. Questions are often easy for customers to remember and answer, making it a user-friendly way to authenticate identities.

While a database requires users to have a specific query to retrieve data, a knowledge base allows users to find relevant information without needing to know exactly what they're looking for.

Because security is a weak-link phenomenon, a security program must be multidimensional. Regardless of security policy goals, one cannot completely ignore any of the three major requirements—confidentiality, integrity, and availability—which support one another.

The 4 C's security refers to a framework comprising four essential elements: Concealment, Control, Communication, and Continuity. These elements collectively contribute to fortifying security measures and safeguarding assets, premises, and individuals against potential threats and risks.

Managers, staff and external users, such as customers, might use a knowledge-driven DSS. Software examples of a knowledge-driven DSS include: Software that identifies new or current customers who might be interested in products. Product selection software.

A decision support system (DSS) is a computerized system that gathers and analyzes data, synthesizing it to produce comprehensive information reports. A decision support system differs from an ordinary operations application, whose function is just to collect data.

What is the difference between rules base and knowledge base? ›

In summary, the main difference between the two lies in their approach to decision-making and problem-solving. Rule-based systems rely on explicit if-then rules, while knowledge-based systems leverage a broader base of domain-specific knowledge to make intelligent decisions…..

Knowledge base examples vary widely depending on the industry, organization, and intended audience. Some examples include internal wikis, customer self-service portals, and instructional guides. If this is the very first time you heard about customer self-service, check out What is customer self-service!

A knowledge base is a published collection of documentation that includes answers to frequently asked questions, how-to guides, and troubleshooting instructions. It's designed to make it easy for people to find solutions to their problems without having to ask for help.

a collection of information about a particular subject: The firm's knowledge base gives it a strong competitive advantage.

A few examples include the name of the user's first pet, their best friend's last name, or their favorite food. The downside with static KBA is that many sites ask identical or similar questions, which means that users provide identical answers.

The need-to-know principle describes a security objective to limit access to confidential information to what is absolutely necessary. The principle is referenced in many legal requirements and also standards such as ISO/IEC 27001/2, BSI IT-Grundschutz, GDPR, PCI-DSS, among others.