Treza gives developers the tools to run sensitive workloads inside hardware-protected enclaves so they can ship privacy-first products without the infrastructure headache.
We're engineers and builders who've shipped production systems at Marvel, Google, Goldman Sachs, Cisco, Apple, and Binance. Places where security failures aren't hypothetical.
That experience showed us a gap: developers shouldn't have to choose between strong privacy guarantees and fast iteration. Treza bridges that gap with a platform that makes trusted execution environments, attestation, and key management as straightforward as deploying a container.
Small team, high ownership. We're remote-first and run lean. Everyone writes code, talks to users, and owns the outcome end-to-end.
Our SDK, CLI, and infrastructure are open-source because we think the best security tools earn adoption through transparency, not lock-in. If you can verify it, you can trust it.
Founder, Developer
Former Marvel and AOL engineer building Treza's privacy-first secure compute platform.
AI & Security
Stanford AI/GSB fellow and Cisco senior engineering leader with 16+ years in AI/ML, security, and IoT. OWASP contributor and Perplexity AI Fellow.
97% of enterprise AI deployments are blocked by 'no sensitive data in LLMs' policies. This guide covers exactly how to unlock AI on PII, PHI, and financial data using hardware-isolated enclaves — with cryptographic proof your data never left the boundary.
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AI agents don't need to carry your users' personal data through every step of a workflow. Here's how to enforce field-level PII stripping at each step boundary — with an audit log that proves it.
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Zero-knowledge proofs let users prove identity claims without revealing underlying PII. Trusted Execution Environments let verifiers prove the check ran correctly without trusting the operator. Together, they form a compliance architecture that enterprises and AI agents can actually trust.
Read More→Get in touch to learn how Treza can help your team build privacy-first applications.
