Question 1

How does DeepInspect differ from AI detection tools?

Accepted Answer

Detection tools observe AI activity, flag anomalies, and provide dashboards. DeepInspect enforces policy inline, blocks or modifies actions in real time, and produces signed decision records. Detection tells you something happened after the fact. Inline enforcement decides what is permitted before the request reaches the model.

Question 2

How is DeepInspect different from model safety features built into LLM providers?

Accepted Answer

Model safety features protect the model provider and apply generic content filtering. DeepInspect protects the enterprise and governs internal AI workflows — identity-aware policies, data-classification enforcement, and tamper-evident audit records that map to the enterprise's own compliance posture, not the provider's.

Question 3

How does DeepInspect compare to compliance dashboards?

Accepted Answer

Compliance dashboards map controls to frameworks and display compliance status. They describe a control posture; they do not enforce it. DeepInspect enforces real controls inline and produces defensible evidence — cryptographically signed records of what was permitted, blocked, or transformed for each AI request.

Question 4

How does DeepInspect compare to AI gateways and agent observability tools?

Accepted Answer

AI gateways and observability tools route, log, and cache LLM traffic and trace agent runs after the fact, but typically lack identity-aware policy or tamper-evident audit. DeepInspect routes, logs, and caches the same traffic, while also enforcing identity- and data-aware policy on every prompt and tool call and landing an HMAC-signed forensic record per request.

Question 5

Why is inline enforcement preferable to monitoring AI usage after the fact?

Accepted Answer

After-the-fact monitoring identifies that sensitive data has already left the enterprise. Inline enforcement evaluates each request before it reaches the model, applies redaction, tokenization, or block actions deterministically, and records a signed enforcement decision. The control point is in the request path, not in a downstream alert queue.

Detection Is Not Governance.

Detection Tools

Detection Tools

DeepInspect

Model Safety Features

Model Safety Features

DeepInspect

Compliance Dashboards

Compliance Dashboards

DeepInspect

AI Gateways and Agent Observability Tools

AI Gateways and Agent Observability Tools

DeepInspect