Mis 200 Final Cybersecurity

Cybersecurity Threat

Event with potential for asset loss and undesirable consequences

Types of Asset Loss

Includes intentional, unintentional, misuse, abuse, error events

Cybersecurity Vulnerabilities

Weaknesses in system security that can be compromised

Cybersecurity Exploits

Means for hackers to execute malicious activities on a system

Types of Cybersecurity Breaches

Unauthorized access to an organization's systems, data, and information

Social Engineering

Manipulation of people to divulge confidential information

DDOS Attack

Cyberattack to make a computer or online service unavailable

Cybersecurity Mitigation

Policies and procedures to prevent security incidents

Threat Prevention

Policies to protect systems and data from threats

Threat Identification

Tools designed to identify specific security threats

Threat Cure

Strategies used to lessen the impact of active security threats

Social Engineering Attacks

Designed to get individuals to divulge sensitive information

Confidentiality Goals

Protecting systems, data, and information from theft or attack

Integrity Goals

Maintaining data, information, and system integrity

External Threats to Cybersecurity

Risks external to the organization, including malware and phishing attacks

Internal Threats to Cybersecurity

Threats from inside the organization, including accidents and intentional attacks

Spyware

Software collecting information about Internet habits and behaviors

Adware

Software collecting the user's web browsing history

Cybersecurity Goals

Protecting systems, data, and information from theft or attack

Integrity Measures

Maintained through user-access controls, file permissions, version controls

Cybersecurity Breaches

Early-stage intrusions leading to system damage, data loss, and network downtime

Common Social Engineering Attacks

Designed to get individuals to divulge sensitive information

Web Crawlers

Bots used to gather information from websites

Malware Bots

Bots that infect hosts with self-propagating malware

Ransomware

Malware that encrypts data and demands ransom

Rootkit

Malware that hides in OS to control a computer

Keyloggers

Spyware recording keystrokes on devices

Trojan Horse

Program pretending to be legitimate but carries out unwanted activities

MitM Attack

Wrongdoer intercepts communication between user and application

Risk Analysis

Balances costs and benefits of cybersecurity countermeasures

Plan-Protect-Respond Cycle

Methodology for responding to security incidents

Security Posture Assessment

Evaluating existing security measures in place

Awareness Training

Educating employees to identify threats and follow protection policies

Identity Management

Control measures for physical and remote access to IT systems

Cybersecurity Response Planning

Preparing and executing activities during and after a security incident

Communication Management

Ensuring proper information dissemination during and after a cybersecurity event

Mitigation Activities

Efforts to minimize the impact and spread of a cybersecurity event

Lessons Learned Analysis

Reviewing incidents to prevent and respond better to future attacks

Customer Relationship Management Systems

Tools to assist businesses in managing customer relationships

Customer Acquisition

Processes to obtain new customers through various marketing strategies

Lead Generation Funnel

Process starting with customer interest leading to purchase

Marketing Qualified Leads (MQLs)

Prospective customers showing interest in a brand or product

Sales Qualified Leads (SQLs)

Leads ready to make a purchase after being qualified

Market Segmentation

Dividing customers into groups based on traits and interests

Target Market

Group of customers an organization aims to sell products/services to

Prospecting

Searching for potential customers and converting them to customers

Qualifying Potential Customers

Determining if an individual or business is worth pursuing as a customer

Customer Surveys

Feedback collection method to understand customer needs and preferences

Customer Interaction

All communication between customers and an organization

CRM Strategy

Plan including monitoring interactions, individual customer focus, automation, and customized communication

Monitor Customer Interactions

Using CRM to identify engaging communication methods

Customers as Individuals

Ensuring each customer has an individual contact record

Automation

CRM generates automatic responses, task scheduling, and communications

Customized Communication

CRM ensures messages are tailored to the customer

CRM Systems

Provide services to sales, marketing, and business development

CRM Software

Stores customer information for better targeting, tracking, and management

Identity Data

Demographic info like name, address, gender, and contact details

Quantitative Data

Includes transaction history, online activity, and customer service interactions

Qualitative Data

Reflects customer feelings, attitudes, opinions, and motivations

Descriptive Data

Additional demographic info like family status, lifestyle, and education

CRM Analytics

Provides insights into customer behavior for informed decisions

OLAP

Online analytical processing technology for data analysis and forecasting

Customer Segmentation

Grouping customers for behavior analysis

Customer Value and Profitability

Identifying high-revenue customers

Personalization

Customized marketing based on individual behavior

Predictive Modeling

Using past data to predict future outcomes

Share of Customer

Focuses on maximizing business from existing customers

Customer Equity

Value of future revenue minus acquisition and retention costs

Customer Profitability

Profit from selling to customers over a period

Customer Lifetime Value

Total amount a customer will spend over their lifetime

Data Breaches

Security risks from misconfigured databases exposing customer info

Ethical Considerations

Concerns about selling customer data to third parties

CRM Market Analytics

Utilized to guide new product development

Viability

Testing the feasibility of products or services

User Experience

Capturing data on customer product usage and buying behavior

Product Development

Insights from CRM analytics that foster innovation

Data Analytics

Investigating raw data to uncover trends and correlations.

Descriptive Analytics

Reveals historical trends in data sets, answering 'What happened?'

Predictive Analytics

Focuses on predicting future events and outcomes.

Prescriptive Analytics

Focuses on recommending actions for future outcomes.

Return on Investment (ROI)

Example of Descriptive Analytics, measures profitability.

Probability Analysis

Techniques used in Predictive Analytics to forecast outcomes.

Data Fabric

Set of data services spanning on-premise and Cloud environments.

Data Ecosystems

IT architecture, software, and technologies for data collection.

Key Performance Indicators (KPIs)

Metrics used to evaluate success or failure in business.

Data Visualization

Representing data graphically for easier understanding.

Structured Query Language (SQL)

Used to query databases and extract specific information.

Information Dashboards

Visual displays of consolidated data for key insights.

Spreadsheets

Software for data collection, organization, and manipulation.

Databases

Store, organize, and manipulate data, queried using SQL.

Data Visualization Tools

Create charts, tables, and graphs for data representation.

90% of Information to Brain

Visual data transmission dominance in human brain processing.

Pie Chart

Visual representation of data in a circular graph.

Bar Graph

Visual representation of data in rectangular bars.

Line Graph

Visual representation of data with points connected by lines.

Scatterplot

Visual representation of data points on a Cartesian plane.

Traditional File Management Systems

Pre-computer manual systems for data storage and processing

Data Redundancy

Duplication of data leading to inefficiency and higher costs

Data Inconsistency

Mismatch or errors in data across multiple records

DBMS

Computer program for creating, processing, and managing databases