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1、1The New Playing Field:How AI Reshapes the Playing Field and Becomes a Force MultiplierJon ParrishSenior Penetration Tester at BPMOctober 20242Jon Parrish Senior penetration tester Five years offensive security Malware dev.Red team and initial access Web application testingPersonal Interests AI Game
2、 hacking Climbing Cybersecurity3What is a Large Language Model(LLM)?An LLM,at its core,is a next word predictor using a neural network.What if we were to take the phrase“The quick brown”and ask an LLM what the next word is?You might say“fox”is the next word,based on your training data and context.Ju
3、st as easily,we could train the LLM to say something else,like“dog.”This is achieved with a whole lot of math,and a whole lot of data.4Mandatory XKCDhttps:/ is an LLM not?A thinking personA traditional programAlways accurate6Not always accurate7Ethics and concernsMost are trained on data that was co
4、pyrightedUnclear what happens when laws catch upDont send sensitive data unless its a local modelPandoras box is open8So,what can we do with it?Natural Language Processing(NLP),i.e.,we can speak to it like a humanSift large amounts of data that is cumbersome to do via traditional methodsWrite emails
5、Give it tools to use when the context makes senseWhatever you train it to do9Why does everyone call it an assistant?You speak to it in human languageYou delegate tasks to itIt can use tools you provide it and determine when and when not to use them It has a wide range of pre-trained knowledgeIt chan
6、ges the workflow from you doing a thing,to you evaluating the result and determining if the work is acceptable or notThis change from doing everything yourself to delegating tasks to an LLM is the primary way people can benefit from LLMs and use them as a force multiplier10The assistant11Example 1:O