Zero Trust Architecture
Secure access to your applications, data, and AI, verified on every connection across AWS, Azure, and private cloud.
Di1 helps businesses of all sizes and federal agencies adopt AI and cloud fast without losing control of their data. We design, implement, and manage Zero Trust environments where identity, device posture, and policy are verified before every connection: no implicit trust, no flat networks.
Our Zero Trust Services
Zero Trust & Secure Remote Access
We design Zero Trust architectures built around secure remote access. Rather than treating the network as the front door, we connect authorized users to the specific applications they need, verifying identity, device posture, and policy before every connection. Learn more in our guide to Zero Trust Network Access.
Zscaler Engineering
Assessment, design, deployment, and operations for ZIA, ZPA, and ZDX. Whether you need a few hours of support or a larger project, our Zscaler experts are here to help.
AI-Ready Zero Trust Assessment
Before you scale AI, know your exposure. We map every user, workload, and AI agent touching your data across AWS, Azure, and SaaS, then deliver a prioritized roadmap to close the gaps that matter most.
Data Sovereignty & AI
Where your data lives, and which AI models can touch it, is now a board-level question. We design regional hosting, tenant isolation, and private AI infrastructure so you meet residency and compliance requirements without slowing adoption.
Post-Quantum Readiness
Zero Trust runs on cryptography: the TLS sessions, certificates, and identity tokens behind every verified connection. Federal deadlines for post-quantum migration are now set, and enterprise contracts will follow. We inventory where your cryptography lives, prioritize the systems protecting long-lived data, and fold the migration into your Zero Trust roadmap rather than running it as a separate program. See our coverage of OMB M-26-15 and the federal PQC deadline.
The next challenge is already here: AI is discovering vulnerabilities faster than teams can patch them, which makes segmentation and exposure, not patch counts, the real measure of risk. Read why shrinking exposure beats racing the patch queue, our analysis of AI bug hunters and the patch backlog, and our take on agentic AI governance in Zero Trust architecture. For ongoing coverage, follow our Zero Trust reporting.
Start with a Discovery Session
Ready to adopt AI and cloud with confidence and keep control of your data? The first session is complimentary: no commitment, just an honest conversation about your goals.
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