The economics of attack
A small target can still be worth the effort.
When an attack took days of skilled work, it made sense to spend those days on a company with a big payout. That calculation is changing. AI lowers the expertise it takes to probe an app or an API. One person can direct multiple agents to test different routes into many companies at once. Stolen access to a model can cut the attacker’s own costs even further.
A five-person startup may hold exactly what someone wants. An attacker might steal long-lived LLM access tokens, customer API keys, or other secrets. They might also steer an internal agent into installing a malicious package.
The case for Archimedes
Defence has to learn, too.
A static rule can catch a pattern someone has already described. When an attacker changes tactics, someone still has to connect the API requests to what happened in the application and the database, judge what they mean, and act. That work matters just as much at three in the morning as it does at noon.
A company can hire engineers to cover every shift. Archimedes gives even a small team another way to get that coverage. Our AI security engineers work together, powered by frontier cyber models including Mythos and Daybreak. They watch applications, APIs, and infrastructure in real time.
Our aim is a team that improves with each investigation. A confirmed intrusion should teach it what to look for next time. A fixed vulnerability should become a check it can run wherever the same mistake might appear.
Our approach
Two jobs, around the clock.
Find the vulnerability. Submit the fix.
Our agents continuously check your code and infrastructure for vulnerabilities. When a code change can close an opening, they submit a pull request your engineers can review and merge.
Spot the attack as it happens.
Our agents monitor activity across your running systems. When they detect a live attack or signs of an intrusion, they alert your team with the evidence behind the alert.
Field results
Our work so far.
- Vulnerabilities analyzed
- 84,000
- Fixes deployed to customer infrastructure
- 23