EchoDepth Insights
Research and analysis on emotion recognition AI, FACS methodology, polygraph science, human reliability assessment, and defence security — from the team building the UK's only purpose-built classified emotion AI platform.
Emotion AI for Defence
Articles and buyer's guides covering the scientific and operational basis for camera-based emotion recognition in defence and security environments.
How to Detect a Deepfake Job Candidate: 8 Checks
Real-time face-swap video now survives a normal interview. Eight checks by hiring stage, following the July and September 2026 DPRK advisories.
Insider RiskSabotage and Insider Risk at UK Defence Suppliers: 7 Controls
Hostile states are recruiting proxies to watch and attack defence factories. Seven controls for drone and munitions manufacturers.
FACS MethodologyWhat Is FACS? Facial Action Coding System Explained
FACS defines 44 Action Units mapped to specific facial muscles. The only peer-reviewed framework that produces anatomy-grounded, legally defensible emotion output.
Credibility AssessmentPolygraph False Negative Rate: Why the Science Doesn't Support Security Screening
The NAS 2003 review found false negative rates reaching 47%. Courts won't accept it. Procurement bodies are moving on. The evidence, examined.
Emotion AIVAD Model Explained: Valence, Arousal & Dominance in Emotion AI
Labelling a face as "angry" discards most of what the face is actually communicating. VAD represents emotional state in three continuous dimensions.
Defence OperationsHuman Reliability Assessment in Defence: The Case for Real-Time Monitoring
Fatigue is implicated in 21–23% of major military incidents. HRA evaluates it at a point in time. Real-time monitoring closes the gap.
Insider ThreatInsider Threat Detection: Why Emotional Signals Precede the Digital Footprint
Carnegie Mellon CERT found an average 14-month gap between first observable precursor and first malicious act. The signals were there. The monitoring wasn't.
Operator ReadinessOperator Fatigue Monitoring: What It Is, How It Works, and Why It Matters
Fatigue implicated in 21–23% of major military incidents. Camera-based FACS detection without wearables or self-report. How AU46 and VAD arousal track fatigue onset.
DeploymentSCIF-Compatible AI Deployment: Requirements, Standards, and What to Look For
"SCIF-compatible" is a specific technical requirement — zero external transmission, no cloud, all inference local. What to verify in defence AI procurement.
Cyber SecurityDeepfake Detection Technology: How AU Temporal Coherence Identifies Synthetic Video
Deepfakes synthesise pixels. They cannot synthesise neuromuscular timing. POKERFACE detects synthetic video through Action Unit temporal coherence analysis.
ScienceDimensional Emotion Models in Defence: Why VAD Outperforms Discrete Labels
Categorical emotion labels force a choice where the evidence is continuous. Why dimensional models — VAD — are the correct framework for defence and security emotion AI.
Use CaseOperator Fatigue Monitoring: UAS, SOC, and SCIF Deployment
Real-world deployment of FACS-based fatigue detection in UAS operations, security operations centres, and SCIF environments. Technical specs and integration requirements.
Credibility AssessmentPolygraph Alternatives: 7 Technologies Compared
Polygraph, EyeDetect, fMRI, voice stress analysis, brain fingerprinting, thermal imaging and FACS compared: mechanism, evidence base, and screening suitability.
Credibility AssessmentAI Deception Detection: How Facial Analysis Replaces the Polygraph
AI deception detection analyses 44 involuntary facial Action Units in real time, detecting stress and deception signals that cannot be suppressed.
Credibility AssessmentPolygraph Accuracy: False Positive & False Negative Rates
Published research, NAS findings, and UK defence procurement implications for both polygraph error types.
VettingPersonnel Security Vetting: The Case for Continuous Emotional Monitoring
Vetting is point-in-time, and most insider incidents involve individuals who passed it. The case for continuous emotional baseline monitoring.
VettingContinuous Vetting UK: From Periodic Clearance to Real-Time Monitoring
Continuous vetting shifts security clearance from periodic to real-time. How FACS-based emotion AI provides the human-layer signal for UKSV frameworks.
Insider ThreatBehavioural Analytics for Defence: Beyond the Digital Layer
UEBA monitors digital acts. Emotion AI monitors the person before the act. How combining both layers closes the 14-month insider threat detection gap.
Emotion AIStress Detection Software: How Camera-Based FACS Analysis Works
Camera-based stress detection using 44 FACS Action Units. Real-time, non-contact and SCIF-compatible, without wearables.
Operator ReadinessOperator Fatigue Detection: AI Monitoring for High-Stakes Defence Environments
AI fatigue detection monitors cognitive overload and readiness in real time using FACS.
Buyer's GuideHow to Choose Insider Threat Detection Software
Evaluation criteria, RFP checklist, and comparison of UEBA, emotion AI, and behavioural analytics approaches for defence and security.
Buyer's GuideHow to Select Deception Detection Technology
Compare polygraph, EyeDetect, voice stress analysis, and FACS-based emotion AI for defence and security credibility assessment.
Buyer's GuideHow to Evaluate Operator Fatigue Monitoring Solutions
Evaluation criteria for UAS pilots, SOC analysts, and control room operators. Wearables, camera-based, and self-report approaches compared.
ComparisonEyeDetect Alternatives: 6 Credibility Assessment Options Ranked
EyeDetect ranked against five alternatives, including where EyeDetect still wins, with links to each head-to-head comparison.