Developing a Conceptual Model for Insider Threat
summary
99 case studies based on interviews with investigators, HR, managers and co‑workers produce concrete patterns: 99 case studies, 32% worked in groups, and the most common archetype is an addict rather than a disgruntled employee. Methods combine qualitative interviews with a longitudinal survey that measures the dark triad, impulsivity and stress, and a prototype real‑time detection system tested in partner organisations. Key finding is that behavioral change — notably anxiety spikes precede attacks and increased off‑hours online activity — outperforms demographics, raising practical and ethical tradeoffs for monitoring.
AI-written summary · about
chapters (15)
- 0:00Intro
- 7:40What is an Insider Threat
- 8:08Who is an Insider
- 9:31Insider Demographics
- 10:56Dispositional Indicators
- 11:41Behavioral Indicators
- 13:55Organizations
- 14:14Insider Attacks
- 16:00Insider Profiling
- 22:32Entitlement
- 23:00Crime
- 25:27Discovery
- 29:18Putting it all together
- 31:38Psychology and Computing Science
- 39:58Ethics
related talks
15mPredictive Techniques to Catch Insider Threats Before they Become Criminals
20mIntriguing Insider Threat Cases - Make Sure This Doesn't Happen to You!
54mInsider Threats and New Economy Industries
48mData-Driven Cyber Indicators of Malicious Insider Threat
46mTurning Your Security Strategy Inside Out—Managing Insider Threat
46mA Framework to Effectively Develop Insider Threat Controls
48mStop Chasing Insider Threats, Start Managing Insider Risk
15mSecret Tips to Reduce Insider Threat Risks with Behavioral AI
