Most security investigations do not arrive neatly packaged.
A real SOC case usually starts messy: a user forwards a suspicious email, someone drops a screenshot into a ticket, the SIEM fires, EDR has a process tree, identity logs show something odd, and the cloud team says, “We changed something yesterday, but it should not matter.”
That mix of evidence is exactly where multimodal AI starts to become useful.
A multimodal AI solution can work across different types of input: text, screenshots, PDFs, logs, diagrams, JSON, CSV, code, and sometimes audio or video. In security operations, the value is not simply that the model can “look at an image.” The value is that it can connect a screenshot, a log sample, a ticket note, an email header, and a playbook into something an analyst can actually use.
This is not about replacing analysts. I would not run a SOC that way.
