Continuous offensive security for the enterprise.
Enterprises struggle to continuously identify and remediate vulnerabilities across an expanding attack surface before attackers exploit them.
An AI-driven adversary platform that performs nightly automated offensive security testing plus periodic human red team assessments and delivers actionable findings with repro steps and remediation in dev workflows.
Security teams at enterprises in regulated industries such as financial services, healthcare, retail, and government.
co-founder @ antigen. prev. ml infra at tesla autopilot. law school dropout. Before Zag, Saad trained reasoning models with Ashish Vaswani, author of the famous Attention Is All You Need paper. At Nuro, he developed an ML Compiler framework that enabled running the perception layer across multiple GPU's. And at Tesla he built infrastructure that halved the time it took to train Planning & Controls models. He also served at the Supreme Court of Pakistan and dropped out of UChicago Law.
Co-Founder @ Antigen. Previously product at Google Ads and ML at Google Search. Previously at Google, shipped product features for new advertisers and built large-scale ML infrastructure for measuring cross-site conversions on Search. Took a year off college to join as second employee at a YC startup. Separately scaled a bootstrap SaaS to $30k MRR. Also wrote low-level imaging software for silicon wafer manufacturing.




