The Behavioural Threat Intelligence
Framework

Introduction to Behavioural Threat Intelligence

Traditional threat intelligence focuses on technical indicators: malware signatures, IP addresses, attack patterns, vulnerability data. These indicators are essential but incomplete. They describe what happened in digital systems but miss the human dimension entirely.

Behavioural threat intelligence addresses this gap. It provides structured analysis of human behavioural signals that may indicate security risk: stress patterns that precede incidents, behavioural drift from established baselines, cognitive load indicators during interviews, engagement patterns during training.

Framework Components

1. Signal Collection

Behavioural signals are collected through camera-based analysis of facial Action Units. This approach is non-contact, works with existing camera infrastructure, and produces structured data suitable for analysis. Key signal types include:

• Stress indicators (elevated Action Unit combinations)
• Suppression patterns (attempts to mask expressions)
• Cognitive load markers (processing intensity signals)
• Engagement levels (attention and focus indicators)
• Baseline deviations (changes from individual patterns)

2. Signal Processing

Raw signals require processing before analyst review. This includes:

• Noise filtering (removing environmental artefacts)
• Baseline comparison (contextualising against individual patterns)
• Confidence scoring (statistical certainty of signal detection)
• Temporal aggregation (patterns over time vs. instantaneous signals)

3. Analyst Review

Behavioural threat intelligence requires human interpretation. Signals are indicators, not conclusions. Trained analysts:

• Interpret signals within operational context
• Consider alternative explanations
• Apply domain expertise and judgement
• Determine appropriate response or escalation

4. Integration

Behavioural intelligence should integrate with existing security workflows:

• SIEM integration for correlation with digital events
• Case management for investigation support
• Reporting systems for documentation and audit
• Alert systems for time-sensitive notifications

5. Governance

Robust governance is essential for ethical and compliant operation:

• Clear policies on system use and limitations
• Defined roles and responsibilities
• Audit and oversight mechanisms
• Regular review and improvement processes

Implementation Considerations

Implementing a behavioural threat intelligence programme requires:

• Legal framework — Appropriate legal basis for biometric processing
• Technical infrastructure — Camera systems, processing capability, integration points
• Analyst capability — Trained personnel to interpret signals
• Governance structures — Oversight, audit and continuous improvement
• Cultural readiness — Organisational acceptance of behavioural monitoring