We built the AI Security platform we wished existed
AI moved from answering questions to taking actions – calling tools, moving data, making decisions. Most security tools weren’t built for that, and the ones that were send your data to someone else’s cloud. DeepintShield is different: one self-hosted control plane that governs every AI interaction inside your own environment, so you can adopt AI without giving up control of your data. Founder-led, independent, and focused purely on AI security.
Why DeepintShield
~2µs
Median policy decision (p50)
Control, not just Visibility
Govern every prompt, tool call, and agent action inline – ALLOW, DENY, REQUIRE_APPROVAL, or MASK before anything runs.
Your data stays Yours
Fully self-hosted, with no data egress. Prompts, keys, and telemetry never leave your boundary.
Provable Compliance
A hash-chained, tamper-evident audit log and framework mappings turn compliance reporting into an export.
Our Approach
Most teams secure their AI with three or four separate tools that still send data to the cloud. DeepintShield does it in one gateway, guardrails, agentic security, observability, and cost control – running entirely inside your own environment, governed by inline policy at microsecond scale.
The Team behind DeepintShield
DeepintShield is built by a senior team with deep roots in enterprise AI architecture, cloud security, and AI governance – the same problems the platform solves. Security decisions are made by the engineers who write the code, not committees.
Want to see DeepintShield in your environment?