--- title: OAI Q&A on Security From AI description: "Good guys should get unfiltered AI access; Prompt injection still can't be 100% stopped." categories: - Blog tags: - Hacking - Vulnerability Discovery - AI - Red Teaming - OpenAI header: teaser: /assets/images/2025-05-12-oai-security-conf-sam-altman/8B3E9522-5A28-4F34-AF36-0FC4463CB955_1_105_c.jpeg og_image: /assets/images/2025-05-12-oai-security-conf-sam-altman/8B3E9522-5A28-4F34-AF36-0FC4463CB955_1_105_c.jpeg --- This is part 3 on OpenAI's Security Research Conference. Here are [part 1](https://www.mbgsec.com/posts/2025-05-04-oai-security-conf-vibe/) and [part 2](https://www.mbgsec.com/posts/2025-05-08-oai-security-conf-automated-vuln-discovery/). As soon as they opened up the room for questions I raised my hand. I was prepared. I also primed a member of their technical stuff in advance, joking if we could ask *"real questions"*, to which he replied -- what is a *real* question? People asked very real questions and got very real answers, kudos to the OAI's team for their openness to debate. I ended up asking two questions (thank you Ian). Here is an imperfect summary of a few questions and answers I found interesting, including my own. These are my recollections after more than 48 hours and 24 hours in an airplane, so please take it with a grain of salt. **Question:** LLMs were a black box from the get go, and are only getting more obscure with reasoning models. How can we trust them if we can't figure out what they are doing? **Answer:** Doesn't have high hopes for mechanical interpretability, much of the results have been over-stated. They do have other promising ideas. He believes that hallucination will be solved. **Question:** Content moderation is pushing offensive security researchers to use weaker models (not OpenAI). Would you consider a program where they could get unfiltered access to models? **Answer:** Yes, we are thinking about it. We want the good guys to have a head start. **Question:** What security problems you think the community should focus about, besides prompt injection? **Answer:** Privacy. Attackers getting the model to regenerate training data, thereby getting access to information they shouldn't have access to ([MB] another user's data used for training). **Question:** Given that, as you stated, prompt injection is still a big problem, and getting to 99.999% wouldn't prevent attackers from getting their way, how should people think about deploying agents that can now have tools that can make real harm? **Answer:** People should not deploy agents that can make real harm. He believes that some of the research they are working on could solve prompt injection 100% of the time. ![Sam Altman thinking about a question; Matt Knight preparing to fire the next one](https://mbgsec.com/assets/images/2025-05-12-oai-security-conf-sam-altman/8B3E9522-5A28-4F34-AF36-0FC4463CB955_1_105_c.jpeg)