Consulting / Insurance
Six specialist workshops covering quantum risk modelling, PQC migration for policy and claims systems, long-duration liability data exposure, and fraud detection. Delivered by practitioners with direct insurance sector and quantum technology experience.
Long-tail liability products carry data that remains sensitive for decades. That is exactly the exposure window that harvest-now-decrypt-later exploits. Insurers who begin cryptographic migration now protect policyholder data before the quantum threat matures.
All sessions are delivered by subject-matter experts with direct insurance sector and quantum technology experience. Each session is fully vendor-agnostic and configurable to your organisation's technical level and regulatory obligations.
Five structured sessions covering quantum risk modelling, cryptographic migration, long-duration liability exposure, fraud detection, and third-party data exchange security for insurance organisations.
Covers how quantum computing accelerates stochastic risk modelling, Monte Carlo simulation at scale, and catastrophe modelling for actuarial teams. Examines near-term quantum advantage cases in insurance risk quantification and how to evaluate vendor claims against actuarial requirements. Aimed at chief risk officers, actuaries, and quantitative analysts in P&C and life insurance.
Structured technical workshop for IT security leads and enterprise architects in insurance. Covers cryptographic inventory methodology for policy administration systems, claims platforms, and third-party data integrations. Addresses the NIST PQC finalised standards (ML-KEM, ML-DSA, SLH-DSA) and their applicability to insurance software stacks, including legacy core systems with constrained update cycles.
Addresses the harvest-now-decrypt-later threat model as it applies specifically to long-tail liability lines: professional indemnity, medical malpractice, directors and officers, and environmental liability. Covers which policyholder data classes face quantum exposure within policy term horizons, how to assess cryptographic risk in data retention practices, and what regulators in the EU, UK, and US are beginning to require.
Examines quantum machine learning approaches to fraud detection in claims processing, including anomaly detection on large claims datasets and network graph analysis for organised fraud rings. Covers the practical gap between quantum ML research and production deployment, and how quantum-inspired classical algorithms offer near-term uplift on existing fraud detection pipelines.
Focuses on the cryptographic security of data exchanges between insurers, brokers, reinsurers, MGA platforms, and data aggregators. Covers quantum threats to API authentication, encrypted data feeds, and electronic bordereau transmission. Addresses ETSI and ISO/IEC standards for post-quantum secure data exchange and how to apply migration pressure to third-party suppliers without breaking commercial relationships.
A senior-level briefing for insurance C-suite and board audiences covering competitive dynamics, regulatory obligations, and investment sequencing across the quantum agenda.
Executive briefing for CROs, CTOs, and C-suite leadership in life, P&C, and specialty insurance. Covers the insurance-specific quantum opportunity across risk modelling, fraud detection, and claims optimisation alongside the security threat from quantum-capable adversaries. Structured as two sessions: quantum computing opportunity and competitive implications, followed by quantum security obligations and board-level governance.
Learn MoreAll tiers include access to the full lecture archive, weekly webinars, and the member directory.
For professionals working in quantum computing, post-quantum cryptography, or adjacent security fields.
For organisations building, deploying, or evaluating quantum-safe solutions across their supply chain.
For recognised specialists contributing lectures, advisory work, or research to the QSECDEF community.
Sessions are configured around your team's technical level and operational priorities. Get in touch to discuss requirements and schedule a date.
