QuilrAI governs every AI action across your enterprise - browser, endpoint, LLM gateway, and MCP - with sub-30ms decisions and under 1% false positive rate.
The Security Reasoning Engine for the Agentic Enterprise.
AI has changed how your business operates. Employees use AI assistants and productivity tools every day. Developers run coding agents that autonomously read codebases, access secrets, and call external APIs. Your engineering teams are building AI-powered products with LLM APIs and MCP-connected agent workflows. And your existing security stack - DLP, CASB, EDR - was built before any of this existed.
QuilrAI is the platform built for this new reality.
One platform. Four enforcement planes. One reasoning engine. QuilrAI governs AI across every surface where it operates in your enterprise:
Browser - Inline governance of every AI assistant and AI SaaS session. Sensitive data detected and controlled before it reaches the model.
Endpoint - Kernel-level governance of coding agents. File access, shell commands, external API calls - all governed in real time.
LLM Gateway - Every API call to leading LLM providers inspected inline. Prompt injection, jailbreak, and data leakage stopped before the model sees them.
MCP Gateway - Every agent-to-tool connection via Model Context Protocol verified, scoped, and governed. Unverified servers blocked. Tool response poisoning detected.
All four planes share a single Context Graph and a single Decision Engine - so every decision is informed by who the user is, what their role is, what they normally do, and what the agent was scoped to do.
The Decision Engine - AI security that reasons, not just matches
At the core of QuilrAI is a proprietary 3-billion parameter reasoning model trained on 1.3 billion interactions. Unlike legacy DLP tools that match patterns against rules, QuilrAIs Decision Engine evaluates identity, context, intent, content, and behavior simultaneously - in under 30 milliseconds.
The result: under 1% false positive rate versus the 85%+ industry average. Security that actually works without drowning your team in noise.
Non-Human Identity (NHID) - built for the agentic world
Every AI agent in your environment gets a cryptographic Non-Human Identity token - scoped to its user, its task, and its approved permissions. QuilrAI tracks delegation chains (human to agent to sub-agent), enforces just-in-time privilege, and auto-revokes on behavioral deviation. For the first time, your security team has a complete audit trail of not just what humans did, but what agents did on their behalf.
AI-SPM - continuous AI posture management
QuilrAI continuously discovers, assesses, and scores your AI posture across every surface. Shadow AI tools found automatically. Policy drift detected before it becomes a breach. Compliance evidence - mapped to SOC 2, HIPAA, PCI, ISO 27001 - collected automatically.
Built for regulated industries
QuilrAI is deployed across healthcare, financial services, BPO, telecom, and enterprise software. The platform is fully customer-hosted - no data leaves your environment. The Context Graph is built from your own IDP, HRM, CRM, and agent activity data. Models run in your cloud or on-premise.
Proven at enterprise scale with customers in the Fortune 500 healthcare systems, global telecoms, and financial institutions.
80% demo-to-close win rate
Procurement to production in 48 hours
Why QuilrAI through the Cloud Marketplace
Purchasing QuilrAI through your cloud marketplace lets you draw down against your existing cloud committed spend (EDP), streamline procurement with a single vendor relationship, and deploy with the infrastructure you already run. No new procurement process. No new vendor risk review. Just faster time to value.
Highlights
Decision Engine evaluates content, context, intent, and trust in under 50ms, so you catch real risk without drowning teams in false positives
Coaching-first enforcement: guide users in the moment instead of blocking blindly. Monitor, coach, then enforce on your timeline
AI-native governance that understands what users and agents are actually trying to do, not just pattern-matching on keywords
One platform for DLP and AI security: prompts, model outputs, agents, and MCP tool calls governed under a single policy layer
Covers public AI (ChatGPT, Copilot, Gemini), homegrown LLMs and RAG, and agentic workflows in one place
Pre-action validation for AI agents: every tool call checked before it executes, with agent identity governance built in
Enforce policy everywhere work happens: browser, SaaS, email, files, endpoints, IDEs, and LLM gateways
Browser extension gives DOM-level visibility into typed text, copy/paste, uploads, and prompts that other tools miss
Deploy how you already manage devices: Chrome/Edge extension via GPO, Intune, Jamf, or Google Admin
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing covers five separate AI security options, each priced by units through a private offer. Two options govern AI at runtime: the LLM Gateway inspects prompts and model calls, and the MCP Gateway controls agent tool calls. The other three cover end-user AI. You can buy the Browser Extension for browser visibility, the Endpoint Agent for endpoint visibility, or the combined Browser & Endpoint Agent for both. These dimensions are independent surfaces, not ranked tiers. You contact sales for pricing, and multiyear deals are available.
Top-of-mind questions for buyers
What is the difference between the LLM Gateway and MCP Gateway runtime options?
The LLM Gateway routes every prompt and model call through an inspection layer that checks identity, applies guardrails, and inspects prompts. The MCP Gateway sits between agents and tool servers, enforcing per-tool scope, verifying identity on each call, and logging every tool invocation. Both run enforcement in under 50ms.
How do the Browser Extension and Endpoint Agent options differ in what they cover?
The Browser Extension scans form posts, prompts, and pastes inside web browsers in real time. The Endpoint Agent installs as a system daemon on macOS and Windows, inspecting AI requests leaving the laptop, including local tools and self-hosted models that never reach a browser. The combined option covers both surfaces.
Can I combine the runtime gateway options with the end-user options?
The five options cover independent surfaces, so you can pair them. Runtime options govern AI you build and route through gateways. End-user options govern third-party AI on browsers and laptops. Each is priced by units through a private offer, so contact sales to scope which surfaces you need.
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Support is provided by QuilrAI via email. Please include your AWS account ID, deployment details, and a description of the issue. Standard response time: 1-2 business days. Support@quilr.ai
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