Luke Hinds
Securing AI Agents from the Ground Up - Luke Hinds
#1about 4 minutes
Why open source is the best model for security software
Open source provides transparency for code reviews, fosters collaboration with diverse experts, and prevents vendor lock-in for businesses.
#2about 6 minutes
Navigating security risks in the current AI gold rush
The rapid pace of AI development often pushes security to a lower priority, creating risks as non-technical users are given powerful, low-level system access.
#3about 5 minutes
Understanding the practical challenges of agentic AI
Agentic AI is in an exploratory phase where it is often misapplied to problems that have simpler, more traditional solutions.
#4about 9 minutes
Introducing nono for secure AI agent sandboxing
The nono project provides a simple, easy-to-use sandbox that uses kernel-level security to isolate AI agents and prevent unauthorized system access.
#5about 11 minutes
A live demo of nono's core security features
This demonstration shows how to use nono from the command line to restrict file access, protect credentials with phantom keys, and roll back unwanted changes made by an agent.
#6about 5 minutes
Advanced controls for dangerous commands and auditing
Nono protects systems by blocking destructive commands like 'rm -rf' by default and provides a secure audit trail of all actions an agent performs.
#7about 13 minutes
How to make security tools easy and widely adopted
Drawing parallels with Let's Encrypt and Sigstore, making security tools free, simple, and user-friendly is the key to achieving widespread adoption.
#8about 3 minutes
Community-driven development and getting started with nono
The success of nono demonstrates the power of building tools that solve real problems observed in developer communities like Discord.
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Matching moments
03:42 MIN
Addressing the security challenges of AI agents
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Understanding the current state of AI security challenges
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The power and security risks of AI command line access
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01:51 MIN
Final advice on security and responsible AI usage
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Mitigating the security risks of AI-generated code
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Understanding AI security risks for developers
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