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10 ways AI & Machine Learning can increase insurance revenue.

Advancing Analytics

It was a great opportunity to catch up with the best and the brightest in the Insurance and Brokerage business. There were fantastic talks on the direction of the industry, and one are which is getting a lot of attention it the application of AI and Machine Learning to Insurance. Assessor assistants – Think Hal 9000 but for Insurance!

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Peer-Benchmarked Threat Resilience Metrics

FS-ISAC

Introducing the “FS Index” The Financial Services Threat Simulation Index (the “FS Index”) is a free, shared test plan for measuring threat resiliency and trending over time. The current test plan is 60 test cases mapped to 7 nation state threat actor groups most commonly targeting the financial services industry.

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Peer-Benchmarked Threat Resiliency Metrics

FS-ISAC

Introducing the “FS Index” The Financial Services Threat Simulation Index (the “FS Index”) is a free, shared test plan for measuring threat resiliency and trending over time. The current test plan is 60 test cases mapped to 7 nation state threat actor groups most commonly targeting the financial services industry.

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What’s Next After Completing Your Operational Resilience Self-Assessment?

Castellan

The Financial Conduct Authority (FCA) , the Bank of England (BoE) , and the Prudential Regulation Authority (PRA) announced these new requirements a year ago to improve the operational resilience of financial services in the UK. Going forward, organisations are expected to operate within those impact tolerances. DOWNLOAD NOW.

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TSPs: Making the Case to Invest in Risk and Resiliency

Fusion Risk Management

Ability to Procure Cyber Insurance. According to an article in Insurance Business America , the cyber insurance market started to harden in 2020 after a surge in ransomware events. It is critical to keep your eye on what regulators are pushing down the pipe. How Can Fusion Help? .

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Cyberrisk Management Tips for Businesses Amid the Russia-Ukraine War

Risk Management Monitor

According to experts ranging from independent cybersecurity professionals to officials at the Cybersecurity and Infrastructure Security Agency (CISA), organizations at greatest risk right now include critical infrastructure , banks and other financial services firms, and of course key service providers in Ukraine or Russia.

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Opening the eyes of the machine: Computer vision with AutoML (Part 1)

Advancing Analytics

Auto-insurer Tokio Marine use computer vision system for examining damaged vehicles. Computer vision technology is beginning to significantly impact the financial services industry. Facial recognition and retina scanning are also helping financial institutions to improve security procedures and therefore reducing fraud.