Risks and Rewards: Integrating AI into Cybersecurity Practices

The insurance industry will need to assess insureds’ AI-related risks across multiple dimensions, including cybersecurity, privacy, intellectual property, bias, regulatory compliance, and physical risks. Individual carriers will need to establish interdepartmental teams to address AI’s impact on various insurance product lines and to develop tailored underwriting strategies for each. At the same time, AI technologies can be used to improve the underwriting process while balancing the potential risks of AI adoption. This Masterclass will explore the cyber risk management implications of AI for both policyholders and the insurance professionals overseeing them. 

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Learning Objectives:

1. Analyze the opportunities presented by AI in cybersecurity, including improved threat detection, advanced vulnerability prediction, and enhanced incident response
2. Assess the malicious use of AI in sophisticated attacks, such as advanced malware, deep fakes, and tactics that complicate threat detection. How can we detect the use of AI in claims scenarios?
3. Explore how regulations impact the use of AI in cybersecurity, including the building of risk assessment frameworks
4. Explore real-world instances of AI-driven threats and their implications for liability, risk management, and insurance claims

About Check Point:

Check Point Software Technologies is a global leader in cybersecurity solutions, dedicated to protecting corporate enterprises and governments worldwide. The company has been a leader in cybersecurity since 1993. From pioneering stateful firewalls to our AI-powered, cloud-delivered security solutions, we are committed to safeguarding organizations with an industry-leading 99.8% prevention rate. Visit Website