However many attacks AI makes,
the door is already closed.

Presenter Finding zero-days used to take an elite hacker. Now it's automated. AI discovers vulnerabilities on its own.

Graphic And it produces thousands of undetected variants a day. What one person used to make by hand now arrives by the thousand.

Graphic And these variants walk straight past detection. Detection can only filter what it already knows about.

Presenter SecuLetter doesn't judge whether a file is malicious. It takes the structure apart. If there's no detection to evade, there's no way to evade it.

Presenter AI attacks tend to trigger vague anxiety first. But what you need isn't fear — it's an order of operations. What to block first, what to diagnose, and what to remove before anything runs.

Graphic AI removed the barrier to entry. Vulnerability discovery is automated, variants are generated without limit, and the volume and speed of attacks have crossed the line of what people can handle by hand.

Graphic But one thing hasn't changed. An AI-built attack still has to reach its target. Defense is decided on the path it has to travel to get there.

Presenter So which delivery path do AI attackers use the most? Let's look at that.

Graphic Non-executable files. AI writes the exploit, packs it into a document, and pushes it through email and web upload boards. Executables get blocked, so attackers moved to the files people open every day.

Graphic There are three reasons. First, documents are the basis of work, so they can't go unopened. Second, controls built around executables look right past them. And third, a document is a container — code can hide inside its structure.

Presenter So how does the defense you run today see this?

Graphic Signature-based antivirus only catches known patterns. Updates always arrive a step behind the attack, and against variants AI mass-produces, that gap never closes — it only widens.

Graphic A sandbox runs the file first and watches what it does, which makes it reactive. Malware that senses a virtual environment, or waits, does nothing while it's being watched — and nothing is what a sandbox can't catch.

Graphic That leads to a structural conclusion. Variants are infinite, but the root cause the exploit abuses is one. Defense has to work at the root, not at the surface.

Graphic SecuLetter's first answer is detection. We read the memory of the process opening the document at the assembly level — machine code — and diagnose the origin of the vulnerability trigger there.

Presenter Variants of a vulnerability are infinite. But for that vulnerability to actually execute, there are steps it must pass through.

Graphic Shellcode has to land in heap memory, and a CPU register that never points into the heap has to move there.

Graphic That is exactly where our reversing engine diagnoses the origin of the trigger.

Presenter It doesn't wait for execution, so it's fast — and evasion that fooled sandboxes doesn't work here.

Graphic The second answer is sanitization. We separate and remove the elements attacks abuse — macros, JavaScript, OLE objects — then rebuild the file with its text and formatting intact.

Graphic The order is what matters. Before deciding whether it's malicious, we remove what could be dangerous. Nothing waits on a verdict, so the risk of a miss disappears with it.

Screen Both run inside one product. Static analysis, reputation analysis and dynamic reversing filter what they can, and sanitization stops the undetected threats that are left, all the way through.

Presenter But either one alone falls short. Diagnosing the root of a vulnerability doesn't stop an attack that uses a document's own legitimate features, like a macro.

Presenter And sanitization alone struggles to filter out an exploit hidden inside a font or a table property. SecuLetter provides both at once. That's how customers get content security that comes close to complete — not one layer, but two working together.

Graphic For a public web submission service, this is why sanitization went in. A malicious macro can sit inside an uploaded document, and neither the person who sent it nor the system notices.

Graphic Attackers don't go through the system. They go through a person you trust. So every uploaded document is sanitized before it's opened, trusted or not.

Graphic People aren't the only ones reading documents now. Instructions hidden in a PDF as white or transparent text are invisible to the human eye.

Graphic But an AI agent reads them exactly as written, and executes them without telling them apart from your own instructions. You asked for a summary, and internal material can leave the building.

Presenter This actually happened. In Atlassian's AI assistant, Rovo, a vulnerability was disclosed in which hidden instructions inside a PDF caused internal tickets and documents to be leaked outside. An attack aimed at AI isn't malware — it's ordinary text. Detection can't filter it. It has to be removed before it ever reaches the agent.

Presenter To sum up. AI automates the attack, and SecuLetter seals off the path it travels. We block the largest route in, diagnose the root cause at machine-code level, and remove threat elements before detection ever runs.

Presenter However many attacks AI makes, the door is closed. See it for yourself with real files from your own environment. You can request it at seculetter.com.