RAG对抗机器：治理风险与合规的Gen AI.pdf

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1、AI in Finance Summit New York 2024RAG against the machineBrennan LodgeBLodgic Inc.Agenda Intro AI as a guide not a guardThe good,the bad,the ugly of AI in cybersecurityBriefer on AIRAG against the machineRoll your own Demos Next steps Brennan.LodgeWhois LookupRole:Co-founder and CTOExperience:Over 1

2、5 years in financial services focusing on cybersecurity,data science,and leadership.Previous affiliations include JP Morgan Chase,Federal Reserve Bank of New York,Bloomberg,Goldman Sachs,and HSBC.Led AI-centric cyber solutions at HSBC,streamlining cybersecurity processes.Professor at NYU,Information

3、 Tech Management&Data Analytics.Technical advisor roles at CounterFlow AI,Inc.and DataKind.Published a peer-reviewed paper on machine learning for security incident response teams.Expertise:Seasoned veterans in cyber defense strategies,leveraging AI and machine learning solutions.Proficient in threa

4、t analysis,incident detection,and response.Proven track records in conceptualizing,designing,and executing cybersecurity solutions.US Cyber CommandAI RPE winner 2022ML x Cases Finance/ESG competition winner 2023The GOOD of AI in Cybersecurity?Information Overload Cybersecurity pros face a deluge of

5、threat data;AI can filter and prioritize this to manageable levels.24/7 Defense Needs AI operates continuously,supporting human teams beyond regular work hours.Talent Gap&Burnout AI mitigates the industrys talent shortage and reduces professional burnout by automating routine tasks.Rising Attack Vol

6、umeWhile the demand for cybersecurity specialists sees an unprecedented spikewith the United States Bureau of Labor and Statistics forecasting a 35%growth in information security analyst roles by 2031the industry simultaneously faces a severe talent shortage An estimation by Cybersecurity Ventures i