About PROTEXCT
Built by attackers, for defenders.
Security is not a feature you bolt on once the agent is already making decisions. We are building the control plane that makes every decision inspectable, bounded, and explainable.
The thesis
AI systems need a security layer that assumes compromise.
PROTEXCT began as a forensic exercise: dissecting real-world supply-chain breaches to understand how trusted boundaries erode in modern architectures. The conclusion was uncomfortable — agent stacks replicate those failures at higher speed and greater scale.
So we built the platform we wanted to exist: a system that verifies everything, keeps authority on the server, and improves itself nightly against the attacks it missed.
Sai Ram Muthineni
Founder & Security Lead · OSCP
Offensive-security practitioner focused on application and AI-system exploitation. Designed PROTEXCT's threat model, hot-path architecture, and nightly self-improving loop.
20/20
OWASP vectors mapped
Nightly
Adversarial improvement
How we build
Principles are part of the product.
Zero trust between services
Every internal call carries validated credentials. Client input is hostile by default.
Server-side authority
Payments, rate limits, policy decisions, and data access are computed server-side.
Evidence over assurance
Hash-chained audit logs, pinned model artifacts, and regression-gated deployments make claims verifiable.
Isolation by default
Row-level security denies everything until a tenant context exists. Missing context is a denial.
Secrets never in code
Encryption keys come from the environment. Plaintext credentials exist in memory for milliseconds.
Generic errors externally
Attackers get a generic denial. Engineers get request IDs correlated through every service.
Build with a security team that reads the logs.
Questions, disclosures, or enterprise inquiries: security@protexct.com.