Product Overview
DeepInspect: Inline AI Governance and Security Gateway.
DeepInspect sits in the request path between enterprise users, agents, and large language models. The gateway is one layer for security enforcement, regulatory evidence, and cost optimization across every model and tool endpoint an enterprise uses.
Three Strategic Pillars
Security, governance, and cost optimization in a single inline path.
1. Intelligent Security
The gateway intercepts traffic in real time and applies enforcement before the request reaches the model or the response returns to the user.
- Data-aware policy enforcement. Detect and redact PII, PHI, and sensitive intellectual property in the request payload.
- Identity-aware controls. Link every AI interaction to a specific corporate identity so that data access aligns with role-based permissions.
- Forensic analysis. Identify and block prompt injection, jailbreaking attempts, and anomalous behavioral spikes.
- Agent and tool-call enforcement. The same policy engine evaluates every MCP and tool invocation an agent makes, not just prompt traffic.
2. Verifiable Governance
The EU AI Act and US AI policy frameworks require technical proof of how AI was used. DeepInspect produces evidence that legal and compliance teams can hand to a regulator.
- HMAC-signed audit trails. Every AI transaction is recorded with a cryptographically verifiable, tamper-evident signature.
- Regulatory mapping. Automated logging satisfies Article 12 (Automatic Logging) of the EU AI Act and aligns with NIST AI RMF requirements.
- Liability protection. Forensic-grade evidence of content provenance and data handling for litigation or regulatory audits.
3. Cost & Routing Optimization
The gateway routes every model call by cost, latency, and sensitivity, accounts for spend per actor and project, and reroutes around provider outages.
- Intelligent model routing. Steer prompts to the appropriate model based on cost, latency, or sensitivity. Simple tasks go to Claude Haiku 4.5, complex reasoning goes to Claude Opus 4.7.
- System resilience and failover. Maintain availability with automatic rerouting. When one provider experiences an outage, DeepInspect shifts traffic to a secondary provider such as Anthropic or AWS Bedrock.
- Unified cost transparency. Consolidate fragmented AI spend into a single dashboard. Track token usage by department or project and surface shadow AI.
Why DeepInspect
| Capability | Business Impact |
|---|---|
| Inline proxy deployment | No code changes required to existing AI applications. Integration is a URL swap. |
| Unified API endpoint | Swap LLM providers without refactoring application code. |
| Cryptographic proof | HMAC-signed telemetry that satisfies CCOs and external auditors. |
| Smart routing | Reduce token spend up to 40% through intelligent model tiering. |
GenAI adoption has outpaced policy in most enterprises. Intellectual property leaves the organization through prompts, privacy regulation now applies to AI inputs and outputs, and API spending scales without visibility into who is using what. DeepInspect closes those gaps in the request path, before the request reaches the model and before the response returns to the user.
Executive Summary
DeepInspect is the runtime layer for the AI-enabled enterprise. The gateway blocks leaks at the request, records every transaction with cryptographic proof, and routes traffic for cost and uptime.
Scale AI adoption with full visibility and managed risk.