INFORMAZIONI SU QUESTO EPISODIO
In this episode:
- Why AI agents can't be trusted users
- The hardest security decisions are about what not to protect
- Everything in security is a proxy, including agents
- Secure-by-default doesn't mean slowing productivity
- AI-generated code isn't vibe-coding if a human verifies the work
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/never-trust-your-coding-agent
1Password Developer newsletter: https://1password.com/developer-newsletter
Travis:
LinkedIn: https://www.linkedin.com/in/travismcpeak/
Connect with 1Password
1Password.com
1Password Developer newsletter: https://1password.com/developer-newsletter
Build securely with 1Password Developer: https://developer.1password.com/
Inglese
Stati Uniti
IN QUESTO EPISODIO
TRASCRIZIONE 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di Zero-Shot Learning.
ALTRI EPISODI IN QUESTO PODCAST
In this episode:
Old identity models weren’t built for agents
The hardest security problems begin after access is granted
Long-running agents expose the limits of OAuth
Secrets remain one of the weakest links in agent design
How to stop agent overreach in real time with short-lived cred…
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/evals-ai-agent-infrastructure
1Password Developer newsletter: https://1password.com/developer-new…
In this episode:
React has become the default framework for AI-generated code
AI is closing the gap between product ideation and engineering execution
The ability to securely run and isolate AI agents must be built into platforms
What the return to full-stack thinking means for the future of so…
In this episode:
Evals are becoming the new product development loop
Feedback loops help teams learn from unpredictable AI behavior in production
Traditional tracing tools don’t explain AI failures
Choosing an LLM is more like choosing a database than a CPU
The agent layer should be treated as…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Dev Tagare, Nancy Wang, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
MODIFICA
Grazie, ci hai aiutato a mantenere aggiornato il database dei podcast.
