Find the program that fits you.

Understand what AI is, how it fails, and where it shows up in a wording, so you can ask a client the right questions. About 6 to 8 hours.

Spot the AI exposure already sitting inside the policies you carry, before anyone writes an endorsement for it.

Quantify a technology-driven business interruption loss, and challenge the accountant's number rather than receive it.

A deliberate plan for your career in cyber insurance, rather than whatever happens next.

Where an insured's cloud estate creates exposure, and how shared responsibility decides who carries it.

What a cyber policy actually covers, first-party and third-party, and who is involved when it responds.

Speak the cyber insurance market's language from day one, without the imposter syndrome.

Turn one incident into a loss number you can defend to a committee, and measure the accumulation behind it.

Where cyber risk is heading next, and what it is doing to underwriting and coverage.

Connect the regulatory map to the wording in front of you, from GDPR to NIS2 to the US state patchwork.

What cyber insurance is for, what it covers, and why a standard policy does not answer a cyber loss.

How to lead well in a digital-era insurance business, and how to attract the tech talent it needs.

Clearer conversations, better first impressions, and a way through the difficult ones.

The controls an insured must have to qualify for cover - and how to judge whether they really have them.

Underwrite the plant, the grid and the treatment works, where a cyber incident stops something physical.

The cybercrime vectors hitting policyholders now, and the mitigations that actually reduce the loss.

Treat harvest-now-decrypt-later as a reserving question rather than an IT project, and separate urgency from noise.

Position cyber cover a client actually understands, and handle the price objection without discounting your way out.

How social engineering attacks actually work, and how to advise an insured on spotting and mitigating them.

How to show up credibly online, so what people find about you helps rather than hinders your career.

How security awareness training changes loss outcomes, and how to evaluate it in an underwriting decision.

What AI systems actually do, the ways they fail, and the vocabulary you need to discuss them with an insured.

How AI exposure reads against a cyber wording, and where cover is silent, affirmative or excluded.

How AI failures create liability exposure across professional, product and management lines.

Exposure from autonomous and driver-assist systems, where liability sits and how it is placed.

How AI acting on the physical world creates property exposure, and how it is underwritten.

Assess AI exposure in a submission, place it with the right cover, and price what you have taken on.

Read an insured's AI governance against the NIST AI Risk Management Framework and the EU AI Act.

Each way AI fails, from bias to autonomy, and the exposure it creates for the insured and the insurer.