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Justice never sleeps, and the same goes for cybersecurity teams facing <\/span>more threats<\/span><\/a> than ever before.<\/span><\/p>\n Because threat actors are working around the clock, cybersecurity teams have to do the same, which is why <\/span>Sherrod DeGrippo<\/span><\/a> (pictured), director of threat intelligence strategy at Microsoft Corp., <\/span>describes the vocation as a \u201ccalling.\u201d<\/span><\/p>\n Sherrod DeGrippo of Microsoft talks about what AI means for cybersecurity.<\/p>\n<\/div>\n \u201cAcross public sector, whether it\u2019s state, local, federal or governments in other countries globally, we want to partner with them to give them the intelligence that they need so that they can help us understand their views as well,\u201d she said. \u201cThe public sector has incredible amounts of data, signals and information to share with us,\u201d she said. \u201cBut there\u2019s always going to be something that they don\u2019t have, and that\u2019s where we like to come together, fill those gaps where we can. But, in the end, the ultimate goal is always to shut threat actors down from doing damage and harm to really the global footprint, regardless of who you are, customer or not.\u201d<\/span><\/p>\n DeGrippo spoke with theCUBE Research\u2019s <\/span>Savannah Peterson<\/span><\/a> at the <\/span>Black Hat USA event<\/span><\/a>, during an exclusive broadcast on Media\u2019s livestreaming studio. They discussed the increasing complexity of cybersecurity threats and the impact of artificial intelligence. <\/span><\/p>\n Different countries can present unique security problems, with North Korea posing a strong threat to cryptocurrency exchanges and national security. Their methods are often complex, such as a threat actor called Moonstone Sleet, which developed a fake video game company to conduct espionage.<\/span><\/p>\n \u201cWith cryptocurrency, specifically, it really is in many ways almost designed from the ground up to facilitate some of these more illegal or \u2026 nation-state-focused capabilities because it, by nature, is untraceable yet tracked. So, we can see them stealing it, but we don\u2019t know where it\u2019s going, what they\u2019re doing,\u201d DeGrippo said.<\/span><\/p>\n AI and large language models are now giving attackers new tools with which to deceive victims, although DeGrippo emphasized that its main purpose is to accelerate workloads and function as another interface for data.<\/span><\/p>\n \u201cWe do see threat actors using LLMs primarily in the same way that you or I might use an LLM \u2014 research, helping to write something better, helping to craft written materials, craft phishing emails. We aren\u2019t seeing them use it to create malware in any capacity beyond the ways that they were creating malware before,\u201d she said. \u201cAn LLM really is an interface that you\u2019re using to get to the data. We have to keep in mind that interfaces are tools and tools can be leveraged for good or evil.\u201d<\/span><\/p>\n Here\u2019s the complete video interview, part of SiliconANGLE\u2019s and theCUBE Research\u2019s coverage of the <\/span>Black Hat USA event<\/span><\/a>:\u00a0<\/span><\/p>\nCybersecurity teams combat global threats<\/h3>\n