The AI Security Podcast

This is part 2 of our discussion on the TikTok ban and its AI security implications. We have not yet recorded a podcast about DeepSeek (look, we're very busy) but you'll find that a lot of the discussion about Chinese national security laws is relevant and echoes those same conversations.Links discussed:The Infographic: https://newsroom.tiktok.com/en-au/comparative-study-of-social-media-data-collection-practices-au?utm_source=chatgpt.comBing vs Google: https://searchengineland.com/google-bing-is-cheating-copying-our-search-results-62914Reach out at contact@mileva.com.au.

We chat about the TikTok ban and its AI security implications. We got so into this topic we had to split it in two parts!The AI security creative comms comp: https://milev.ai/reports/ai-security-communication-competition-2000-in-prizes/Sign up to our new threat digest:  http://eepurl.com/i7RgRM Get in touch with us at contact@mileva.com.au.

Harriet turned 30 recently and decided to try this trend - but AI security edition! We talk through 30 lessons - AI, security and life.Contact us at contact@mileva.com.au

Welcome to the AI security podcast! We decided to rebrand and claim this space since no-one else has taken it! We're looking forward to being your go-to podcast for AI security news, research and casual yaps.In this episode Tania and I each discuss our top three trends in AI security and AI for security as we enter 2025.Links discussed:Cyber risk management podcast: https://open.spotify.com/show/43k7780x6wSvKCq75StIsMAbout the number 2025: https://mindyourdecisions.com/blog/2025/01/02/5-fun-facts-about-2025-you-probably-didnt-know/Our AI security research: https://aisecurityfundamentals.com/Reach out to Mileva at contact@milevalabs.com

We continue our discussion on key trends in GRC and its intersection with AI!Annie-Mei is also about to launch her own podcast and I highly recommend you check it out if you want more no-nonsense content and advice about the cyber space.

Delve into the intriguing world of AI security as the hosts discuss their groundbreaking research on the AI incident database. They share insights on the challenges of analyzing AI risks and the necessity for tailored cybersecurity approaches. Learn about the complexities of vulnerability assessment and the innovative data collection methods shaping the future of AI security. Plus, join the conversation on the disconnect between industry perceptions and academic findings, all while navigating through the festive spirit of the holiday season!

Today we chat to my good friend Annie-Mei about GRC (governance, risk and compliance). She is a senior GRC consultant with a background in journalism! We discuss her career journey and an overview of what on earth GRC is.

This time we sit down with Howjer Gu, Founder of Planoverse, a start-up in our stream within the UNSW 10x accelerator! Fun fact - Howjer and I used to work together at Deloitte back in 2016 and couldn't believe it when we ran into each other during the application process. Howjer has a background in data analytics and recently founded Planoverse, which is like a digital twin for grocery stores. Learn about his start-up journey and the importance of data.Planoverse: https://www.planoverse.com.au/

2024 has seen a lot of change for Mileva.. and we often get people asking about what we're doing and we got here, so this time Tania interviews Harriet about starting Mileva! We know lots of our audience are curious about starting a business and the different trade-offs that entails (quitting your full time job, looking for funding, services vs products, when is the right time) so we address some of these questions. We also talk about our experience in the UNSW 10x accelerator (hint: I'll be interviewing some of these founders in upcoming episodes!)Oh also Harriet somehow ended up in Vogue!

In this episode Tania and I chat through how we learnt about AI security and adversarial machine learning, and how you can too! Some resources we mention:- Crash Course AI https://thecrashcourse.com/topic/ai/- 3 Blue 1 Brown https://www.youtube.com/c/3blue1brown- Kaggle https://www.kaggle.com/learn/intro-to-machine-learning- Hands-on ML textbook (more for 'classic' machine learning - still really important to understand 'modern' models) https://www.booktopia.com.au/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-3e-aurelien-geron/book/9781098125974.html?gad_source=1&gclid=CjwKCAiA9dGqBhAqEiwAmRpTC3W7SbJJOrI8fEi-19OxvyNLElA8Nk7iKH6nE4KDm1iLlySKgb114hoCcG8QAvD_BwE- The paper that started it all (or at least a lot of it) https://arxiv.org/abs/1312.6199- Adversarial Robustness Toolbox https://adversarial-robustness-toolbox.org/- Cleverhans https://cleverhans-lab.github.io/- Darknet diaries (please someone introduce me to Jack) https://darknetdiaries.com/- Rob Miles https://www.youtube.com/@RobertMilesAI- Import AI https://jack-clark.net/- AI Daily Brief https://www.youtube.com/channel/UCKelCK4ZaO6HeEI1KQjqzWA- Less Wrong https://www.lesswrong.com/- Unsupervised learning https://danielmiessler.com/- OWASP ML Top 10: https://owasp.org/www-project-machine-learning-security-top-10/- ML Safety https://course.mlsafety.org/about- Anatomy of an AI system: https://anatomyof.ai/