Visualising Security Trends

Duration: 1 days / 6 hours
Delivery method: Online (Zoom ↗️ or Teams ↗️)/ 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

In an increasingly data-driven security landscape, the ability to interpret, predict, and communicate security risks is more critical than ever. This course introduces security practitioners to the essential stages of data preparation, exploration, and predictive insight generation — transforming raw data into strategic intelligence.

We begin with Initial Data Analysis (IDA), where participants learn how to assess data quality, identify errors, handle missing or inconsistent records, and validate data structures. IDA establishes the foundation for any credible analytical process, ensuring your data is clean, reliable, and ready for meaningful analysis and storytelling.

From there, we progress into Exploratory Data Analysis (EDA) — a crucial phase that focuses on visually and statistically summarizing the main characteristics of a dataset. EDA helps uncover patterns, relationships, anomalies, and behavioural trends that support better operational and strategic decision-making.

Building on IDA and EDA, the course introduces Algorithmic Forecasting — an advanced method for predicting future security trends using statistical modelling and machine learning. Participants will learn how to move beyond describing what has happened to forecasting what is likely to happen next, assessing emerging risks, and proactively informing policy, resourcing, and operational planning. This empowers security professionals to shift from reactive responses to proactive intelligence-led security strategies.

Whether you work in a security operations centre, policy analysis, compliance, cyber intelligence, or strategic leadership, this course will equip you to assess and interpret raw security data, transform it into actionable intelligence, and communicate insights in compelling, visual, and forward-looking formats.

And remember: Just as "I" comes before "E" — IDA comes before EDA — inspect before explore.
And now, with Algorithmic Forecasting, we go one step further: explore before you predict.

What you will learn

Understanding Security Trends and Patterns

How to identify and analyze emerging trends in security threats.
Techniques to detect anomalies and interpret security data effectively.

Fundamentals of Data Visualization

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.

Data Analysis for Security Professionals

Methods to clean, organize, and prepare raw security data for visualization.
Key metrics and indicators to monitor for tracking security performance.

Tools and Technologies for Visualization

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.

Communicating Security Insights to Stakeholders

How to tailor visualizations for technical and non-technical audiences.
Storytelling techniques to present complex security data in a compelling and understandable way.

Predictive Analysis and Trend Forecasting

Using data visualization to predict future security risks and vulnerabilities.
How to leverage historical data to inform strategic security planning.

Data Ethics and Security

Understanding the ethical considerations when handling sensitive security data.
Best practices for securing and managing data used in visualizations.

Potential course benefits, the why

Master Data-Driven Decision-Making

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.

Improve Threat Detection and Response

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.

Communicate Security Insights Clearly

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.

Boost Efficiency with Modern Tools

Gain hands-on experience with industry-standard visualization tools and frameworks.
Automate data analysis and visualization processes to save time and resources.

Empower Decision-Makers

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.

Enhanced Confidence in Managing Security Risks

Feel equipped to tackle complex security challenges with clarity and precision.
Stand out as a trusted advisor in interpreting and visualizing critical security trends.

How Algorithmic Forecasting enhances "Visualising Security Trends"

IDA – Inspect before explore

Forecasting models need clean, complete, and valid security data. IDA ensures the data used for predictions is accurate, relevant, and trustworthy—preventing misleading forecasts.

EDA – Find patterns, trends, and anomalies

Algorithmic forecasting extends EDA by not only discovering patterns in historical data, but projecting those patterns into the future — turning trends into predictions.

Storytelling with data

Forecasting enhances visual storytelling by offering future scenarios, not just past trends — making visuals proactive, strategic, and actionable.

Security decision-making

Instead of explaining “what happened,” forecasting helps explain what might happen and what action we should take, aligning perfectly with the course’s aim of transforming data into intelligence.

Attend this course to master techniques for visualising security trends, enabling faster insights, better communication, and stronger decision-making.

Types of visualizations for EDA

📈 Area chart

Cumulative security events by type" like a line chart but shows volume/area over time, often used to show stacked group data.

📊 Bar chart

Top 10 employees with denied access" to compare categories or frequencies (e.g., most common incidents, highest counts).

📦 Box plot

Access attempt variability by employee" to show distribution, central tendency, and outliers in numeric data.

🔘 Bubble chart

Passenger movement patterns by risk level" a scatter plot with bubble size indicating an extra dimension (like risk or count).

🌍 Geospatial map

Origin of high-risk cargo" used to show data tied to locations (airports, regions, routes).

🔥 Heatmap

Access attempts by hour and area" to represent intensity or frequency across two variables (e.g., time vs. location).

📊 Histogram

Distribution of access attempt durations" to show distribution of a single variable—useful for spotting skew or outliers.

📉 Line chart

Access attempts over time" to show trends over time (e.g., increasing or decreasing patterns). Great for time-series data.

🧩 Network graph

Link analysis between passengers" to show connections or relationships, often used in fraud or risk analysis.

🥧 Pie chart

Access outcome breakdown" to show percentage distribution of categories—best with few categories.

👤 Pictogram

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.

📍Radar/spider chart

Security post performance metrics" useful for comparing multiple variables for different entities in a radial format.

📈 Scatter plot

Access frequency vs. denial rate" to identify correlations or clusters between two numeric variables.

🧱 Stacked bar/area chart

Monthly security events by type" to show how components contribute to a total over time.

🌳 Tree map

Security events by category and subtype" good for showing part-to-whole relationships with hierarchical data.

🎻 Violin plot

Distribution of screening times" combines box plot and density plot for deeper understanding of distribution.

🌊 Wave data chart

Employee sentiment over three survey waves" to show how values change across repeated time-based data collections; great for longitudinal insights.

☁️ Word cloud

"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.