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QuilrAI Platform Overview

QuilrAI helps security, governance, and IT teams discover AI usage, understand risk, and safely roll out controls across users, apps, accounts, endpoints, gateways, and integrations.

Visibility

Track AI adoption, risky behavior, sensitive prompts, top users, top apps, and usage trends from a single insights surface.

Users, Apps, Accounts

Review entity-level risk, usage, interactions, and findings with drilldowns for users, SaaS apps, endpoint apps, and accounts.

AI Inventory

Maintain a live inventory across Browser Extension, Endpoint Agent, LLM Gateway, MCP Gateway, and compliance API sources.

Findings

Investigate findings across browser extension, endpoint agent, LLM Gateway, MCP Gateway, compliance, identity, and all-source views.

Controls

Create, edit, enable, monitor, or enforce controls by posture, with support for system and custom controls.

Gateways

Configure LLM Gateway and MCP Gateway protection, logs, routing, guardrails, tools, access control, red teaming, and agent mappings.

Platform Areas​

Insights​

Use Insights to understand how AI is being adopted across the organization. The dashboard highlights adoption trends, top AI applications, top categories, top users, sensitive data in prompts, and department-level usage.

Findings​

Findings centralizes investigation work across the platform. Teams can move between summary insights, all findings, browser extension findings, endpoint findings, LLM Gateway findings, MCP Gateway findings, Compliance Findings, and identity findings.

Users, Applications, And Accounts​

The Users, Applications, and Accounts pages show entity-level AI activity. These views combine KPI summaries, trending entities, searchable tables, drilldowns, conversations, findings links, and app intelligence so teams can understand who is using AI, where, and with what risk.

AI Inventory​

AI Inventory helps teams track AI assets and AI activity sources from one place. Source views include Browser Extension applications, Endpoint Agent applications and coding inventory, LLM Gateway API keys, MCP Gateway servers, and Compliance APIs for supported providers.

Controls​

Controls let teams operationalize policy. Customers can browse controls by posture, filter by system or custom controls, add or update controls, duplicate existing controls, toggle status, and choose monitor or action mode.

Detection Models​

Detection Models define what QuilrAI should detect. The data-risk experience supports out-of-box and custom detections, contextual and non-contextual data risks, and custom techniques such as precision, semantic, and intent-based detection. Additional adversarial and insider-risk tabs may appear when enabled for the tenant.

AI Gateway​

AI Gateway includes LLM Gateway and MCP Gateway.

  • LLM Gateway centralizes provider configuration, API key management, security guardrails, additional guardrails, routing, rate limits, token saving, identity-aware access, prompt store enforcement, logs, and red team testing.
  • MCP Gateway manages MCP servers, OAuth and passthrough connections, tools, access tokens, access control, security guardrails, logs, graph views, library installs, and agent configuration.

Browser Extension And Endpoint Agent​

Browser Extension and Endpoint Agent settings cover deployment, deployment management, deployment status, whitelisting, detection configuration, DLP actions, and browser monitoring behavior.

Integrations​

Integrations help connect QuilrAI to identity providers, device management systems, SaaS platforms, cloud services, and AI services. The current platform includes connected and available connector views, instance configuration, and integration documentation for Okta, Jamf, ChatGPT, and AWS.

Settings And Administration​

Settings provides organizational context, general settings, organizational policies, smart groups, user management, user-interaction customization, compliance setup, browser extension setup, endpoint setup, and AI Gateway setup.

Audit Log And Exports​

Audit Log gives teams searchable, filterable event history with expandable snapshots. Exports provides export history and new CSV or JSON exports for supported platform tables.

Suggested Reading Path​

  1. Start with Insights to understand adoption and risk trends.
  2. Review Users, Applications, Accounts, and AI Inventory to see what exists.
  3. Use Findings to investigate high-impact issues.
  4. Configure Detection Models and Controls to align enforcement with policy.
  5. Set up Browser Extension, Endpoint Agent, Integrations, and Gateways to expand coverage.
  6. Use Audit Log and Exports for reporting and operational review.