About DeepInspect

DeepInspect was founded in December 2025 to close a gap that appeared consistently across enterprise AI deployments. As LLMs moved into workflows that touched regulated data, security teams discovered that their existing stack answered the wrong question. Dashboards showed activity. Policies sat in Confluence pages. The authorization decision behind each AI request, the record a regulator would ask for, existed in no single system.

The parallel is enterprise backup and data protection, where the industry spent two decades building runtime enforcement and cryptographic chain of custody. Every backup became a ledger entry with the actor that triggered it and the policy version that governed it. A breach investigation could replay the exact decision path. A regulator could verify integrity. That property, reconstruction with evidentiary weight, was the difference between a useful dataset and a legal artifact. Production AI today operates outside that kind of accountability.

DeepInspect builds that layer. The product is a gateway that sits between enterprise applications and any AI endpoint. Each request is inspected against the active policy version before it reaches the model or tool. The decision is forwarded or blocked synchronously, and a cryptographically verifiable record is written to a forensic store. Three components compose the product: a control plane that versions policy, an inline enforcement plane that runs with sub-50ms overhead, and a forensic store that exports records in the formats auditors already accept.

The product is designed around the regulator’s question: for any AI interaction in the enterprise, which actor triggered it, under which policy, with what outcome. That question is answered from enforcement records rather than reconstructed from telemetry after the fact. A CISO hands the export to the board or to counsel without the weeks of log correlation that a SIEM-only setup would require.

Enterprise customers deploy DeepInspect in stages that match their existing security posture. Observe mode precedes enforce mode, the policy profile is versioned in a staging environment before it reaches production, and deployment runs self-hosted inside a customer VPC, cloud-hosted in a managed environment, or hybrid as a network egress proxy. The gateway reaches steady state without changes to existing application code, which keeps engineering velocity on its existing trajectory.