AI agents are powerful because they can read, reason, summarize, decide, and act across a wide range of information sources.
That is also what makes them dangerous.
The more useful an agent becomes, the more likely it is to consume data I do not fully trust. Emails. Newsletters. RSS feeds. API responses. Documents sent as attachments. Social media. YouTube transcripts. Scraped search results. Web pages. Translated content. Random bits of text pulled from places where I do not control the author, the formatting, the intent, or the payload.
That is a very different security model than the one most of us are used to.
In traditional applications, we spend a lot of time separating code from data, users from administrators, trusted networks from untrusted networks, and internal systems from the internet. With LLMs and agents, all of those boundaries start to blur. Instructions, context, content, and intent all arrive in the same stream. The model has to reason over that stream, and the agent has to decide what to do with the result.
That is exactly why I wanted a security control plane in front of my own AI agents.
For me, that control plane became CaneCorso™.
