In this episode, I chat with Daniel Miessler of Unsupervised Learning about AI's impact on software, cyber, and society.

Daniel is an industry leader in exploring these concepts and runs the widely popular Unsupervised Learning, where he brings industry resources, tools, insights, and more to the community.

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We chatted about:

• The role AI and LLMs have on modern software development, including the democratization of development and the creative concepts now driving software when code can be prompted via natural language.

• The potential implications for cybersecurity and AppSec, and how things are likely to get worse before better when it comes to vibe coding and the security of applications and software being written via LLMs

• The areas invested in at the intersection of AI and Cyber, including AppSec, GRC, and SecOps, and which areas have the most potential in the near and long term.

• The flip side of not just using AI for cyber, but needing to secure AI itself, from model poisoning, prompt injection, and enterprise data leakage, among other potential risks and threats.

• How Daniel uses AI to amplify his content creation and learning productivity.

• RSA is around the corner, and the theme will likely be agentic AI in cyber, as well as how to navigate through the noise and find those providing real value.

• What led Daniel down the path of starting Unsupervised Learning and how it's evolved from just a podcast to a newsletter, community, and industry-leading resource around cyber and AI.

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