Visualising security trends

Visualising security trends

Visualise Trends

Duration: 1 days / 6 hours
Delivery method: Online/ In-company training
Target Audience: This course is ideal Individuals in roles where explaining complex security data to diverse audiences is essential.
Professionals who aim to translate technical findings into actionable recommendations for stakeholders.
Cost: Available upon application
Language: English
Course code: VST-1

Introduction

The course introduces security practitioners to the essential stages of data preparation and exploration. Beginning with Initial Data Analysis (IDA), participants will learn how to assess data quality, check for errors, and validate structure before deeper insights can be extracted. IDA ensures that the foundation of your analysis is clean, credible, and ready for storytelling.

Building on that, the course dives into Exploratory Data Analysis (EDA) — a critical phase in the analytical process. EDA focuses on summarizing the main characteristics of a dataset through visual and statistical techniques to uncover patterns, relationships, and potential anomalies that inform better decision-making.

Whether you’re from a security operations center, policy team, or strategic leadership role, this course will help you turn raw data into actionable intelligence, enabling confident, data-driven security decisions.

If you remember the rule of; I before E, accept after C, than there is; IDA before EDA — inspect before explore!

What you will learn

  • How to identify and analyze emerging trends in security threats.
  • Techniques to detect anomalies and interpret security data effectively.
  • Core principles of designing clear, impactful, and visually engaging graphics.
  • Best practices for choosing the right charts, graphs, and visual formats for different security data.
  • Methods to clean, organize, and prepare raw security data for visualization.
  • Key metrics and indicators to monitor for tracking security performance.
  • Hands-on training with industry-standard visualization tools (e.g., Tableau, Power BI, Python visualization libraries).
  • How to automate data visualization processes to save time and ensure consistency.
  • How to tailor visualizations for technical and non-technical audiences.
  • Storytelling techniques to present complex security data in a compelling and understandable way.
  • Using data visualization to predict future security risks and vulnerabilities.
  • How to leverage historical data to inform strategic security planning.
  • Understanding the ethical considerations when handling sensitive security data.
  • Best practices for securing and managing data used in visualizations.

    • Potential course benefits, the why 

  • Learn to interpret complex security data and use it to inform proactive and strategic decisions.
  • Gain confidence in making evidence-based recommendations for security practices.
  • Enhance your ability to identify patterns and anomalies in security data that may signal potential threats.
  • Develop skills to visualize trends for faster, more effective incident response.
  • Acquire techniques to present complex data in a visually intuitive manner for diverse audiences.
  • Create visualizations that bridge the communication gap between technical teams and business stakeholders.
  • Gain hands-on experience with industry-standard visualization tools and frameworks.
  • Automate data analysis and visualization processes to save time and resources.
  • Provide actionable insights that help organizations mitigate risks and allocate resources effectively.
  • Foster better understanding and alignment among teams by presenting security data in accessible formats.
  • Feel equipped to tackle complex security challenges with clarity and precision.
  • Stand out as a trusted advisor in interpreting and visualizing critical security trends.

    • Types of visualizations for EDA

    "Cumulative security events by type" like a line chart but shows volume/area over time, often used to show stacked group data.
    "Top 10 employees with denied access" to compare categories or frequencies (e.g., most common incidents, highest counts).
    "Access attempt variability by employee" to show distribution, central tendency, and outliers in numeric data.
    "Passenger movement patterns by risk level" a scatter plot with bubble size indicating an extra dimension (like risk or count).
    "Origin of high-risk cargo" used to show data tied to locations (airports, regions, routes).
    "Access attempts by hour and area" to represent intensity or frequency across two variables (e.g., time vs. location).
    "Distribution of access attempt durations" to show distribution of a single variable—useful for spotting skew or outliers.
    "Access attempts over time" to show trends over time (e.g., increasing or decreasing patterns). Great for time-series data.
    "Link analysis between passengers" to show connections or relationships, often used in fraud or risk analysis.
    "Access outcome breakdown" to show percentage distribution of categories—best with few categories.
    "Incidents by location using icon counts" to represent quantities with repeating icons, making data easy to grasp at a glance—especially for general or low-data-literacy audiences.
    "Security post performance metrics" useful for comparing multiple variables for different entities in a radial format.
    "Access frequency vs. denial rate" to identify correlations or clusters between two numeric variables.
    "Monthly security events by type" to show how components contribute to a total over time.
    "Security events by category and subtype" good for showing part-to-whole relationships with hierarchical data.
    "Distribution of screening times" combines box plot and density plot for deeper understanding of distribution.
    "Employee sentiment over three survey waves" to show how values change across repeated time-based data collections; great for longitudinal insights.
    "Most common keywords in security reports" to highlight frequent terms or phrases in textual data, revealing themes or areas of concern in an accessible way.

    In-house courses

    Zoom is a default setting for this course, it could be delivered via Microsoft Teams or Webex.

    Bespoken inhouse delivery: No matter how good a chef is, a person will modify the plate in front of them and may even leave some items on the side.

    The above course can be modified to better fit, the appetite of your organisation

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