The coming AI security crisis (and what to do about it) | Sander Schulhoff
- Source
- lennysnewsletter.com
- Author
- Lenny Rachitsky
- Date

Context
An 's permissions determine which harmful actions a malicious instruction can trigger. AI security researcher Sander Schulhoff illustrates this with email: an assistant asked only to summarize messages can be given read access without permission to send them. An instruction planted inside a message then cannot use that email-sending capability because it was never granted. This narrows the possible damage without requiring perfect recognition of malicious text. Tasks that genuinely require both reading and sending need additional protection, because that simple separation no longer covers the workflow.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- prompt injection — An attack that hides instructions in content an AI will read — a webpage, email, or document — tricking it into following the attacker instead of the user.
- guardrails — The checks around a model that block bad inputs and outputs — filters, validators, and permission rules the model itself can't override.
“You can patch a bug, but you can't patch a brain.”
Sander Schulhoff
“If someone is determined enough to trick GPT-5, they're gonna deal with that guardrail, no problem.”
Sander Schulhoff
“And we found that, first of all, humans break everything. 100% of the defenses in maybe like 10 to 30 attempts.”
Sander Schulhoff
“any data that AI has access to, the user can make it leak it. Any actions that it can possibly take, the user can make it take 'em.”
Sander Schulhoff
“the only reason there hasn't been a massive attack yet is how early the adoption is, not because it's secure.”
- 00:00Introduction to Sander Schulhoff and AI security
- 05:14Understanding AI vulnerabilities
- 11:42Real-world examples of AI security breaches
- 17:55The impact of intelligent agents
- 19:44The rise of AI security solutions
- 21:09Red teaming and guardrails
- 23:44Adversarial robustness
- 27:52Why guardrails fail
- 38:22The lack of resources addressing this problem
- 44:44Practical advice for addressing AI security
- 55:49Why you shouldn't spend your time on guardrails
- 59:06Prompt injection and agentic systems
- 01:09:15Education and awareness in AI security
- 01:11:47Challenges and future directions in AI security
- 01:17:52Companies that are doing this well
- 01:21:57Final thoughts and recommendations
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