Mind the Machine

Florencio Cano Gabarda
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Join Florencio Cano Gabarda in Mind the Machine, where we dive into the critical intersection of AI security and safety. Explore how to protect AI systems from cyber threats, use AI to enhance IT security, and tackle the ethical challenges of AI safety—covering issues like ethics, bias, and trustworthiness. Tune in to navigate the complexities of building secure and safe AI.

集數

  1. 2025/04/08

    LLM code generation security

    Welcome everyone to this tenth episode of Mind the Machine, a podcast about AI security and safety. I’m Florencio Cano. Today we are going to talk about the security risks and security controls of LLM code generators.

    10 分鐘

  2. 2025/03/25

    What are AI models made of? Can they contain malware?

    Today I’ll talk about a technical topic related to the composition of LLMs. Are LLMs only data (weights) or do they contain code? If they contain code, can this code contain malware? And one additional question, if they have code, can they have vulnerabilities like heap overflows? In this episode I analyze what we exactly download when we download a model with Ollama or with the Hugging Face API. References https://ollama.com/https://huggingface.cohttps://docs.vllm.ai/en/latest/https://github.com/kserve/kservehttps://huggingface.co/docs/transformers/en/indexhttps://ollama.com/libraryhttps://huggingface.co/ibm-granite/granite-3.1-2b-instructhttps://huggingface.co/microsoft/Phi-3.5-mini-instruct/tree/mainhttps://www.usenix.org/conference/usenixsecurity23/presentation/christouhttps://arxiv.org/abs/2307.05642

    43 分鐘

  3. 2025/03/11

    AI security track at RootedCon 2025

    Welcome everyone to this eight episode of Mind the Machine, a podcast about AI security and safety. I’m Florencio Cano. Today I’ll talk about my attendance to RootedCon 2025. RootedCon is the biggest cybersecurity congress in Spain and one of the biggest in Europe. This year it had a specific AI security track organized by Fernando Rubio and I had the pleasure to attend and be a speaker. Let’s talk about the presentations I was able to enjoy there. References https://rootedcon.com/ https://smolagents.org/ https://www.crewai.com/ https://www.twitch.tv/claudeplayspokemon

    13 分鐘

  4. 2025/03/03

    AI Applied to Cybersecurity

    In this episode we talk about the different ways companies are using AI, and specially LLMs, to improve their cybersecurity processes. We will talk about information gathering, protection, detection and response and what are known applications of AI in each of these areas. During this episode I mention multiple references that I'm sharing here: IntelEX: A LLM-driven Attack-level Threat Intelligence Extraction Framework https://arxiv.org/abs/2412.10872  Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection https://arxiv.org/abs/2407.16235  Leveling Up Fuzzing: Finding more vulnerabilities with AI https://security.googleblog.com/2024/11/leveling-up-fuzzing-finding-more.html  RedFlag https://github.com/Addepar/RedFlag LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations https://arxiv.org/abs/2502.02009 AI and LLM Models to Analyze and Identify Сybersecurity Incidents https://ceur-ws.org/Vol-3746/Short_6.pdf GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models https://arxiv.org/abs/2409.02572

    9 分鐘

  5. 2024/12/30

    How cybercriminals are leveraging AI

    In this episode we talk about how cybercriminals are using AI to improve their operations. For example, for creating phising emails, fake voice and fake video. Also to create disinformation and fake news. We also discuss what we can do as a society to reduce these risks and what can we do in our organizations to protect ourselves against these threats.

    9 分鐘

  6. 2024/12/23

    Agentic AI Security

    In this episode of Mind the Machine, host Florencio Cano talks about the concept of agentic AI, exploring what makes AI systems capable of autonomously performing tasks and the unique security challenges they present. While agentic AI can revolutionize industries, robust security measures are essential to manage the security risks. Two of the risks mentioned in the podcast are the risk of AI agents that interact with the operating systems and those that generate code. References mentioned in this episode: Security Runners article about RCE on Anthropic's Computer Use: https://www.securityrunners.io/post/beyond-rce-autonomous-code-execution-in-agentic-ai Anthropic's Computer Use: https://docs.anthropic.com/en/docs/build-with-claude/computer-use Sandboxing Agentic AI Workflows with WebAssembly: https://developer.nvidia.com/blog/sandboxing-agentic-ai-workflows-with-webassembly Episode about Prompt Injection https://open.spotify.com/episode/0ZH9Q2PQXojnpb8UI2jhuS?si=bfx-QIlnT8eDUrl2a_zM-w

    15 分鐘

  7. 2024/12/16

    AI Pentesting

    In this episode we talk about AI Pentesting. We talk about the difference with traditional cybersecurity pentesting. We also talk about benefits and drawbacks of manual and AI automatic pentesting. In the case of AI automatic pentesting, we mention some open source tools to perform it. These are some URLs related to topic mentioned in the episode: Breaking Down Adversarial Machine Learning Attacks Through Red Team Challenges https://boschko.ca/adversarial-ml/ Dreadnode’s Crucible CTF platform https://crucible.dreadnode.io/ PyRIT https://github.com/Azure/PyRIT Garak https://github.com/NVIDIA/garak Project Moonshot https://github.com/aiverify-foundation/moonshot

    24 分鐘

  8. 2024/12/09

    Top 10 Security Architecture Patterns for LLM applications

    In this episode, we talk about ten very important security architecture patterns to protect LLM applications. Open source guardrails software mentioned during the episode: TrustyAI Llama Guard Nemo Guardrails Open source model evaluation frameworks mentioned: lm-evaluation-harness Project Moonshot Giskard

    20 分鐘

  9. 2024/12/02

    Prompt injection

    In today's podcast, we will talk about what is prompt injection. We will talk about techniques to exploit it and security controls to reduce the risk of it happening.

    19 分鐘

  10. 2024/11/04

    Presentation

    In this first episode of Mind the Machine I introduce the podcast and myself, Florencio Cano. The podcast will be about AI security and safety. We will talk about security for AI and also about AI for security. I hope you enjoy it! Please, don't hesitate on contacting me directly by sending me an email to florencio.cano@gmail.com or by contacting me at LinkedIn or Mastodon.

    22 分鐘
  • 共 10 集

簡介

Join Florencio Cano Gabarda in Mind the Machine, where we dive into the critical intersection of AI security and safety. Explore how to protect AI systems from cyber threats, use AI to enhance IT security, and tackle the ethical challenges of AI safety—covering issues like ethics, bias, and trustworthiness. Tune in to navigate the complexities of building secure and safe AI.

資訊

  • 創作者
    Florencio Cano Gabarda
  • 活躍年代
    2024年 - 2025年
  • 集數
    10
  • 年齡分級
    兒少適宜
  • 版權
    © Florencio Cano Gabarda
  • 節目網站
    Mind the Machine