Now Available
Enterprise AI Governance & Security Platform
The gate for enterprise generative AI use: every request is checked and recorded before it is allowed or blocked.
Argus Inspector is an enterprise AI workspace and security gateway. Staff use OpenAI, Anthropic Claude, Google Gemini and local models from one interface; every message and attachment is checked against sensitive-information and policy rules before it is sent, and the result is written to an audit record stored encrypted. Run it on-premises in your own environment, or use it directly as a SaaS service.
Argus Inspector is now available. Enterprise users are welcome to get in touch about a trial.
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.
Multi-AI Workspace & Gateway
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.
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.
Growing usage brings cost pressure while regulatory and audit expectations rise at the same time. Both need auditable records as a foundation.
Staff send messages and attachments from the chat interface, or an authorized agent calls the API with a personal key.
Checks for personal data, credentials and keys, and custom rules, and parses Word, Excel, PowerPoint and PDF attachments; files that cannot be inspected are not sent.
Allows or blocks based on the risk level and the monitor / block mode; prompt injection and dangerous commands are always blocked.
The user, model, risk and matched rules are written to the audit record, and the original text is stored encrypted with AES-256-GCM; AI responses are checked separately in the background.
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.
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.
Review enterprise AI usage events in one place — user, model, source, risk, matched rules and outcome. Viewing the original text is itself logged, and the audit list can be exported as CSV / JSON.
Rules, risk thresholds and enforcement modes turn enterprise AI usage policy into a manageable control mechanism; the whole platform can switch between monitoring and blocking, and each rule can also be set individually.
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.
Each user connects tools such as n8n, Codex CLI and Claude Code with a personal key. These requests go through the same sensitive-information rules and blocking decisions as the chat interface and are written to the audit log; content that cannot be inspected is not sent, and each key can be limited to specific providers.
Get in touch and tell us about your use cases and what matters most to you.