Today, Almanax transitions from beta to general availability (GA).
Almanax is an AI security engineer designed to help security teams prevent hacks.
I spent the past 4 years investigating crypto hacks at a startup in San Francisco. One of our clients was hacked for $100M when I was there. There are cases like this every week and it’s only going to grow with market caps growing.
Security today is still one of the biggest challenges for the industry and it is broken: companies do a 1-time audit every 6 months. Or they use static analysis tools that historically have had terrible performance.
This is being compounded by coding assistants like Cursor.
What happens when the number of lines of code that companies produce goes up 100 times? How are security teams supposed to handle that?
That’s why we started Almanax. Our initial focus has been on code security — Almanax detects vulnerabilities every time companies push code by integrating in their CICD pipelines.
It’s like having a 24/7 Security engineer being part of your team that constantly check for security issues.
As an added Security Engineer, it also helps companies analyze alerts from existing security tools, filtering out clear false positives and saving security teams hours every day.
Last, it maps companies’ dependencies and evaluates supply chain risk across their entire codebase.
Our customers have found issues spanning from complex smart contract bugs, to malware in their dependencies.
Our AI models have shown the best performance in the market for both detection and false positive rates. As an example, we found a vulnerability in one of Vitalik’s smart contracts and he paid us a reward for it.
Again, if the number of lines of code produced by companies is going up 100x with engineers using Cursor and GitHub Copilot, how are security teams supposed to handle that?
We believe AI will change security the same way it’s changing software engineering.
Starting today, anybody can us Almanax.
Sign up on app.almanax.ai and integrate LLMs in your security processes.