Workshop Description
Professional indemnity claims can be reported up to 15 years after the insured event. Medical malpractice and environmental liability policies routinely hold data for 25 to 40+ years. Directors and officers coverage generates sensitive financial disclosures that must be retained across multiple syndicate years. All of this data is encrypted with algorithms that a sufficiently capable quantum computer could break.
The harvest-now, decrypt-later (HNDL) threat model applies acutely to these long-tail lines. An adversary intercepting encrypted policyholder data today does not need to decrypt it immediately. They need only store it until quantum decryption capability becomes available. For data with a 30-year retention obligation, even optimistic quantum timelines fall well within the exposure window.
This workshop works through the specific problem of quantum cryptographic risk to long-duration liability data. Participants classify their data holdings by sensitivity and retention period, map cryptographic dependencies against quantum capability timelines, assess regulatory obligations under GDPR, Solvency II, and PRA requirements, and develop practical re-encryption strategies prioritised by risk exposure rather than data volume.
What participants cover
- HNDL threat model applied to long-tail insurance liability lines: professional indemnity, medical malpractice, D&O, and environmental
- Policyholder data classification by quantum exposure timeline and sensitivity tier
- Claims-made versus occurrence policy structures and their impact on cryptographic exposure windows
- Retention period risk assessment: calculating the gap between encryption shelf life and data retention obligations
- GDPR, Solvency II ORSA, PRA SS2/21, and Lloyd's Y5381 obligations for long-duration data protection
- Re-encryption strategies for archived policy documents using FIPS 203 (ML-KEM) and FIPS 205 (SLH-DSA)