Product

Now Available

Argus Inspector

Enterprise AI Governance & Security Platform
A consistent view of governance and security for organizations adopting generative AI.

Argus Inspector is a centralized access and security governance platform designed around enterprise generative AI use. It brings together multi-model access, usage auditing, sensitive information protection and local security analysis, helping enterprises raise AI productivity while keeping the visibility and governance control they need.

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Argus Inspector is now available. Enterprise users are welcome to get in touch about a trial.

The Problem

Governance questions only surface once AI is part of daily work.

Usage without visibility

Once staff start using assorted AI services at work, organizations often struggle to see who is using them, for what purpose, and at what frequency and scale.

Data flows that are hard to trace

What goes into a model may include trade secrets, personal data or internal documents. Without a single point of inspection, there is no way to trace how data leaves the organization.

Cost and compliance together

Growing usage brings cost pressure while regulatory and audit expectations rise at the same time. Both need auditable records as a foundation.

Overview

One entry point for the AI an enterprise actually uses.

Multi-AI Workspace & Gateway

The platform is built around a single workspace as the entry point for enterprise generative AI use, so different models are served through the same managed path and usage can be recorded and governed in one place.

  • Single entry point
  • Multi-model access
  • Conversation workspace
  • Identity control
Argus Inspector enterprise AI conversation workspace: conversation history and account area on the left, input area and common work prompts in the center, model selection at the top right.
Direction

Bringing scattered AI use into one governable interface.

Argus Inspector lets organizations establish order without blocking innovation: internal use of AI services is managed centrally, and identity, auditing, usage and policy are handled on the same platform.

We take the view that AI governance should not be an audit report written after the fact, but a layer of infrastructure built into the way AI is used.

Platform Capabilities
  • Centralized access to AI services with identity control
  • Auditable usage records and retained conversation history
  • Sensitive information detection and policy enforcement
  • Local security analysis
  • Statistics and management for usage, cost and quota
  • Authorized automated workflow and Agent access
Processing Flow

Local security analysis

  1. Prompt

    A user, or an authorized automated workflow, submits a request.

  2. Policy / DLP

    The request is matched against defined rules and keywords to determine a risk level.

  3. Local Security Analysis

    Sensitive information can be interpreted inside the enterprise's own environment.

  4. Policy Decision

    Depending on the enforcement mode, the request is allowed or blocked, and the decision is written to the audit record.

AI Usage Auditing & Risk Visibility

Who used it, what for, and what happened.

Audit & Visibility

Review enterprise AI usage events in one place — user, model, source, risk and outcome — building a traceable record for governance and incident investigation.

  • User
  • Model
  • Source IP
  • Risk level
  • Outcome
Argus Inspector audit events page: total requests and event counts by risk level at the top, with a table below listing each event's time, user, risk, outcome, AI model and source IP.
Policy & Sensitive Information Protection

Turning usage policy into a mechanism you can manage.

Policy & DLP Control

Rules, risk thresholds and enforcement modes turn enterprise AI usage policy into a manageable control mechanism.

The enforcement mode can be switched between monitoring and blocking, the risk level is determined by the score and threshold of the rules matched, and rules themselves come in three kinds: built-in, keyword and custom.

  • Monitor / block mode
  • Risk threshold
  • Built-in rules
  • Keyword rules
  • Custom rules
Argus Inspector rule settings page showing the monitoring and blocking enforcement modes, medium and high risk threshold values, the number of enabled rules, and entry points for managing built-in, keyword and custom rules.
Agent & API Integration

Automated workflows need governing too.

Agent & API Integration

Alongside the interactive AI Workspace, Argus Inspector also offers a controlled API path, helping enterprises bring authorized automated workflows and AI agents into the same governance scope.

  • Key management
  • Provider restrictions
  • Usage attribution
  • Usage records
Argus Inspector API key page with fields for the key's purpose name and provider restriction, and a table below listing each key's owner, status and last use.
Stay in Touch

Start using Argus Inspector.

Get in touch and tell us about your use cases and what matters most to you.

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