Quantum Computing Generative AI & LLMs Drones 6G Networks Satellite Comms Group Messaging Platforms Crypto- currency IoT Devices Metaverse 5G Networks Social Media Incitement 30 Time till mainstream adoption: TODAY The first cases of criminals using LLMs for cyber-crime have been documented, and experts believe this is only the beginning. Not only are criminals using LLM-powered AI bots developed by legitimate tech companies such as Google, Microsoft, and OpenAI, but there is also a new trend of ‘dark’ AI bots emerging, such as WormGPT and FraudGPT, which have been developed expressly without ethical guardrails in place, in order to facilitate malicious uses. Technology capabilities needed: Threat intelligence- As Generative AI technology becomes more accessible and sophisticated, cyber-attacks are expected to grow in scale and sophistication. Threat intelligence solutions with generative AI capabilities can enable law enforcement authorities to tackle two main challenge- data overload and alert fatigue. By employing such technologies, massive amounts of data can be analyzed, filtered, classified and scored in a matter of minutes. Moreover, it will reduce overall risk by strengthening the ability of SOC analysts and threat intelligence teams to mitigate threats more quickly and effectively and to analyze more relevant risk indicators. Cyber-security- In addition to threat intelligence, additional cybersecurity solutions are needed for use cases including vulnerability detection, false-positive reduction, remediation assistant, code generation and code documentation. + Has your organization mapped where generative AI can improve cyber security processes, such as operating threat intelligence at scale, accelerating response time and improving detection accuracy? Key questions: Generative AI & LLMs LEARN MORE ABOUT THREAT INTELLIGENCE Responsible AI Human-Machine Collaboration Video Analytics