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350+ built-in Detection Patterns, 8 ML Detectors covering all 25 OWASP LLM + Agentic Threat Classes

SELF-HOSTED · ZERO DATA EGRESS

The Control Plane for AI, Agents, and MCPs

~2µs

Cached agent decision latency

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Most teams bolt together a router, a content scanner, an observability tool, and a cost dashboard and still struggle for what their AI agents actually do. DeepintShield converges all of it into one in-process plane that runs inside your trust boundary, so prompts, completions, and data never leave your environment.

What We Provide

The secure Layer between your Application and your LLM

Govern every model, prompt, and AI agent action from one place. DeepintShield converges a multi-provider AI gateway, runtime guardrails, an agentic policy engine, observability, and cost optimization into a single self-hosted platform built for the agentic era. Whether you’re blocking prompt injection, securing RAG, or authorizing agent tool calls in real time, our control plane keeps your AI fast, compliant, and fully inside your trust boundary.

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Multi-Provider AI Gateway

One OpenAI-compatible API to 24+ LLM Providers and 2,500+ models - smart routing, automatic fallbacks, and retries.
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Runtime Guardrails & PII

Stop prompt injection, jailbreaks, and PII or secret leaks at five stages - input, output, action, MCP, and RAG.
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RAG Security

Trust-score every retrieved chunk before it reaches the LLM - poisoning detection, per-chunk injection and PII flags.
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Agentic Security (PEP/PDP)

Authorize every agent tool call before it runs - ALLOW / DENY / APPROVAL / MASK at p50 ≈ 2μs.
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Observability & Audit

Per-run agent traces, hash-chained tamper-evident audit with a self-hosted Observability Platform.
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MCP Gateway & Tool Control

Broker, sandbox, and govern every MCP tool call - multi-transport, code-mode sandbox, two-layer allow-lists, OAuth.
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Cost Optimization

Twelve stacked optimization layers cut LLM spend - caching, coalescing, routing, compression - with no added latency.
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Hallucination Defense & Consistency

Same question, same governed answer - six-metric hallucination scoring on every response with Hallucination Control.
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Governance, Identity & Compliance

Virtual keys, RBAC, SSO/SCIM, MFA, and ReBAC\OpenFGA - with NIST, ISO 42001, EU AI Act, and MITRE.
Why DeepintShield

Complete AI Security from the First Token to the Last Tool Call

Govern every GenAI call with a single, self-hosted control plane built for the way modern AI actually fails. From prompt injection and data leakage to over-privileged agents and unauthorized tool calls, DeepintShield enforces policy in-process – across every model, agent, and your own infrastructure, with zero data egress.

Secure your AI Agents

Governs every agent tool call in-process - ALLOW, DENY, REQUIRE_APPROVAL, or MASK at p50 ≈ 2µs. The inline PEP/PDP for agentic AI, mapped to the OWASP Agentic ASI Top 10.
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Cut LLM costs up to 60%

Twelve stacked optimization layers in one config - semantic caching, prompt compression, cascade routing, reasoning throttling, and many more.
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Stop Prompt injection

Five-stage runtime guardrails inspect every prompt, response, tool call, and retrieved chunk and redact PII, PHI, and secrets inline before the LLM ever sees them.
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AI Compliance

Every decision lands in a hash-chained, tamper-evident audit log with OWASP, NIST AI RMF, ISO 42001, EU AI Act, and MITRE ATLAS plus a signed CycloneDX AIBOM.
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5000 µs
median cached policy decision (p50)
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decisions per second
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Full-Stack AI Security, Governance & Agentic Control Plane

Govern, Secure, and Control Every GenAI Action

DeepintShield brings your multi-provider gateway, runtime guardrails, agentic PEP/PDP, observability, and cost optimization into one self-hosted system with no data egress. Every prompt, tool call, and agent action is checked inline, at microsecond scale, and written to a tamper-evident audit log. One platform, one trust boundary, mapped to the OWASP LLM Top 10 and Agentic ASI Top 10.

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What We Provide

Everything Between Your Application and Your LLM SECURED

Secure every AI interaction across your business with one self-hosted platform that runs entirely inside your own environment – so prompts, keys, and data never leave your boundary. DeepintShield brings runtime guardrails, agentic security, a multi-provider gateway, observability, and cost optimization into a single system, governed by inline policy at microsecond scale. Whether you’re securing AI agents, redacting sensitive data, cutting LLM costs, or proving compliance, it helps you adopt AI with confidence – secure, governed, and fully under your control.

Fully Managed Cloud
DeepintShield Cloud – Fully managed · Zero Infrastructure
We host everything: control plane and data plane. Sign up, point your app at our endpoint, and your AI is governed immediately. Fastest way to…
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hybrid cloud
Hybrid Cloud – Managed control plane · your data plane
We host the dashboards and config; the data plane runs in your own VPC. Prompts and data never leave your boundary connected by an outbound-only…
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Self-Hosted
Self-Hosted – Your cloud, end to end control plane & data plane
Run both the control and data plane in your own Azure, GCP, or AWS - one Helm chart, full Terraform. You own upgrades, scaling, and…
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Built on Standards You Already Trust

No black boxes. No lock-in

DeepintShield is built on the open standards your security and platform teams already evaluate and trust and works across 24+ LLM providers

FROM THE BLOG

Latest thinking on AI Security & Governance

Deep dives on prompt injection, Agent Authorization, LLM Cost Control, and proving AI Compliance from the team building the control plane for Agentic AI

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ReBAC

What is Agentic AI Security? A Practical Guide to PEP/PDP for AI Agents

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AI Threats

The OWASP Agentic ASI Top 10 (2026): A Complete Walkthrough

cost savings
cut llm costs

Twelve Ways to Cut Your LLM Bill by 90%

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