{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Practical AI","title":"Threat modeling LLM apps","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6947239f\"></iframe>","width":"100%","height":180,"duration":3278,"description":"If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.\n\nSponsors:\nAssembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. \nPorkbun – Go to porkbun.com to get .app, .dev, or .foo domain names at Porkbun for only $1 for the first year! \nChangelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. \nFeaturing:\nDonato Capitella – Website\nDaniel Whitenack – Website, GitHub, X\nShow Notes:\nThe Security Canvas for LLM Applications\nLLM Security Chronicles Playlist on YouTube\nShould you let ChatGPT control your browser?\nWhen your AI assistant has an evil twin\nPliny the Liberator - jailbreak guru\nUpcoming Events: \nRegister for upcoming webinars here!","thumbnail_url":"https://img.transistorcdn.com/Ox7ZlyiQOhdDa4Qy1MnJH5WFoksAetrzb40Jo1pePFs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMTZi/ZWJmNWIwNDdmYTcw/NGJjMTExZjNjZmYy/M2ZjNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}