Better Risk Assessment for Cyber Insurance: How Will We Get There?
summary
Cyber insurance shifts from annual questionnaires to telemetry-driven underwriting: insurers ingest API connectors, outside‑in scanners and benchmarked telemetry to deliver continuous assessment and subjectivities tied to pricing. Incident data shows 35% of alerts go unacted, 72% of controls are misconfigured, average ransomware losses near $500K, and premiums rose ~28% YoY; EDR and MFA become gating controls. Risk engineering and attack surface tools prioritize fixes and deliver ~9% posture improvement during a policy year. Attack surface management
AI-written summary · about
chapters (14)
- 0:00Introduction and speakers
- 1:26Cyber insurance and risk mitigation
- 5:19Ransomware financial impact
- 6:22Ransomware threat dynamics
- 9:52Cyber insurance loss trends
- 12:22Risk assessment challenges
- 17:29Incident response case studies
- 23:37Ransomware payment analysis
- 27:41Evolving insurance questionnaires
- 29:25Continuous risk assessment models
- 33:01Insurance benchmarking and incentives
- 38:22Attack surface management overview
- 45:55Preparing for cyber insurance renewal
- 48:22Future predictions and Q&A
related talks
57mHow Do Cyber Insurers View The World?
39m34231 WhyCyberInsuranceShouldbeYourSOCsNewBestFriend v2
40mHow Risky Is Cybersecurity Insurance?
54mIntegration of Cyber Insurance Into A Risk Management Program
31mBridging Cyber and Insurance
50mThe Art of Cyber Insurance: What's New in Coverage and Claims
40mCyber Risk Management Programs: Bringing Clarity to Cybersecurity
29mLeverage and Demonstrate Value with your Cyber Insurance Renewal
