How LLM models compare to other models

We kicked off with today’s HSD Café, where we will delve into how #AI is reshaping the cybersecurity landscape. 🔐 As cyber criminals adopt the latest technologies, Dutch organisations must keep pace by embracing innovations and developing robust cybersecurity solutions. Our expert speakers will share valuable insights into AI’s role in cybersecurity: 🎤 Yori Kamphuis, Lead Counter AI at TNO, examines the intersection of cybersecurity and AI such as attacks on AI and AI for cybersecurity, discussing how these fields influence each other and what steps we can take to protect public interests in this AI-driven age. 🎤 Pieter Burghouwt, Senior Lecturer at HBO-ICT & CSE (De Haagse Hogeschool / The Hague University of Applied Sciences ), will highlight the impact of Generative AI in the financial sector, identifying both the opportunities and the challenges that come with it. 🎤 Arvind Sharma Practice Director at HCLTech, focuses on strategies for securing AI-powered enterprises, emphasising the need for strong AI governance to build trust and ensure responsible use. The event will conclude with a Q&A session and a networking drink, giving participants the chance to dive deeper into the discussion and make meaningful connections. 🤝 ➡ Stay tuned for a detailed #recap of this HSD Café, where we’ll share key insights and conclusions from the event. We’ll dive deeper into the expert presentations, discussions on AI’s role in cybersecurity, and the strategies that emerged for building a more secure digital future. Stay tuned!

Our Frontier Safety Framework, released today, focuses on severe risks resulting from powerful capabilities at the model level, such as exceptional agency or sophisticated cyber capabilities. It is designed to complement our alignment research, which trains models to act in accordance with human values and societal goals, and Google’s existing suite of AI responsibility and safety practices. The Framework is informed by the broader conversation on Responsible Capability Scaling. The core components of Responsible Capability Scaling are to: ● Identify capability levels at which AI models pose heightened risk without additional mitigations ● Implement protocols to detect the attainment of such capability levels ● Prepare and articulate mitigation plans in advance for when such capability levels are attained ● Where appropriate, involve external parties in the process to help inform and guide our approach Read the technical report: https://lnkd.in/ety-Hk_C

Ensuring the safe and ethical deployment of #AI is crucial, and that’s where a robust safety framework comes into play. This #safety framework for AI is not a mere formality from Google DeepMind, in my opinion is a critical enabler for responsible and sustainable AI deployment. Any organizations that prioritizes safety is positively contributing to a world where AI benefits everyone while minimizing harm. Thanks for sharing your approach to analyzing and mitigating future risks posed by advanced AI models.

MLSecOps Community Podcast S2Ep10 "Evaluating RAG and the Future of LLM Security: Insights with LlamaIndex" Watch or listen to the full episode here --> https://lnkd.in/d39JtN53 Hosts Neal Swaelens and Oleksandr Yaremchuk sit down with special guest Simon Suo, co-founder and CTO of LlamaIndex. The group discusses many topics, including: - Challenges and considerations of integrating LLMs into various applications, emphasizing the importance of contextualizing LLMs within specific environments. - The evolution of retrieval-augmented generation (RAG) techniques and the future trajectory of LLM-based applications, including the significance of balancing performance with cost and latency in leveraging LLM capabilities. - LLM security concerns and the critical need for robust input and output evaluation to mitigate potential risks. - The potential vulnerabilities associated with LLMs, including prompt injection attacks and data leakage, underscoring the importance of implementing strong access controls and data privacy measures. - Efforts within the community to address security challenges and foster a culture of education and awareness. Listen or read the transcript here to learn more about the ongoing innovation in large language model-based applications, while remaining vigilant about LLM security considerations ➡️ https://hubs.ly/Q02v63y60 Thanks again for joining and sharing your insights, Simon! Also, stop by and visit Protect AI at RSA and learn more about our MLSecOps community! #MLSecOps #aisecurity #MLSec #airisk #machinelearning #ai #llm h#genai #llamaindex #protectai #cybersecurity #rag

I’ll be presenting a session on Friday, August 23, 2024, from 3:00 PM to 4:00 PM CEST about a topic that’s rapidly transforming our industry: "The Impact of Large Language Models on Cybersecurity". Join: https://lnkd.in/dp6Tnet5 This is the first (hopefully of many!) in a series where i'll try to explore the fascinating intersections between LLMs and cybersecurity from both sides of the table. There is so much happening that it would be a crime to not talk about it! If you’re passionate about cybersecurity and AI, or just curious about the future of these fields, I’d love for you to join the discussion! Let’s explore the future of cybersecurity together. See you there! 🚀 #Cybersecurity #AI #LLM #TechTalk #Innovation #atea #microsoft

Recently, a distinguished panel of cybersecurity experts convened to discuss the evolving role of artificial intelligence (AI) and machine learning in cybersecurity. Moderated by Beth Musumeci, Global Cybersecurity Practice Lead at AlixPartners, the panel included Megha Kalsi, Christina Richmond, Dimple Ahluwalia, and Tawnya Lancaster, each bringing a wealth of experience and unique perspectives to the table. Missed the live session? Watch the replay now to gain valuable insights from industry leaders on the future of AI in cybersecurity: https://lnkd.in/gXQs-qrr #Cybersecurity #AI #MachineLearning #Innovation #Governance #EthicalAI #CyberThreats #WebinarReplay

Recently, a distinguished panel of cybersecurity experts convened to discuss the evolving role of artificial intelligence (AI) and machine learning in cybersecurity. Moderated by Beth Musumeci, Global Cybersecurity Practice Lead at AlixPartners, the panel included Megha Kalsi, Christina Richmond, Dimple Ahluwalia, and Tawnya Lancaster, each bringing a wealth of experience and unique perspectives to the table. Missed the live session? Watch the replay now to gain valuable insights from industry leaders on the future of AI in cybersecurity: https://lnkd.in/gyqZ6PHg #Cybersecurity #AI #MachineLearning #Innovation #Governance #EthicalAI #CyberThreats #WebinarReplay #AlixPartners

As #AI adoption explodes, the #attacksurface for all organizations using AI has grown exponentially. Bad actors are increasingly employing AI to attack an organizations’ data, however leading organizations can wield AI powered security tools to combat this threat. I invite you to join this webinar 𝐓𝐎𝐌𝐎𝐑𝐑𝐎𝐖 @ 𝟏𝟎𝐀𝐌 𝐏𝐒𝐓. You can expect to gain insights into industry threats, emerging risks with AI, and practical guidance to protect your AI investments with #IBMSecurity leaders Jennifer Kady, Chip Wagner and Jeff Crume, PhD, CISSP. 🆁🅴🅶🅸🆂🆃🅴🆁: https://ibm.biz/BdaEKr

This Cybersecurity Awareness Month, IST Senior Associate for Artificial Intelligence Security Policy Mariami Tkeshelashvili is helping #secureourworld by raising awareness on the risks associated with #AI foundation models and paving the way for actionable strategies.  The risks associated with AI foundation models are explored in the latest report from IST’s AI Foundation Model Access Initiative report, which introduced a novel framework for addressing the complex risks associated with AI. 🧠 Read “A Lifecycle Approach to AI Risk Reduction: Tackling the Risk of Malicious Use Amid Implications of Openness:” https://lnkd.in/gs2wabdY

"If it's in the news, don't worry about it." In Arvind Narayanan's years of studying the risks of technology, this aphorism from cybersecurity expert Bruce Schneier has been very helpful. "The kinds of risks that we see in the news are exotic," says Narayanan. "But the kinds of harms that are already widespread — that are happening to people every day — those you don’t hear about." Learn more about what should excite and alarm us about AI in an interview with Arvind Narayanan and Sayash Kapoor, co-authors of the new book "AI Snake Oil" from Princeton University Press. https://bit.ly/41X6XII