QuilrAI is an AI security platform that spots every AI agent, LLM API, and enterprise copilot running in your org, locks down what each one can do with least-privilege permissions, and blocks policy violations in real time. Engineers change one URL. Nothing else changes. Sub-50ms latency.

What is a Guardian Agent?

A Guardian Agent is an autonomous security agent QuilrAI creates for each AI agent it protects. It reads the agent's purpose statement, asks clarifying questions about permissions, detects data sensitivity, and enforces least-privilege access at runtime, blocking policy violations before they reach data.

AI-SPM (AI Security Posture Management) is continuous discovery and risk assessment of all AI agents, models, and tools in your organization. QuilrAI's AI-SPM finds shadow AI on developer machines, maps agent permissions, detects policy violations, and keeps a real-time inventory of your AI attack surface.

How does QuilrAI integrate with existing AI tools?

One base_url change routes all AI traffic through QuilrAI's OpenAI-compatible LLM Gateway and MCP Gateway. No code changes, no SDK required. Works with Claude Code, Cursor, ChatGPT, GitHub Copilot, Ollama, and any OpenAI-compatible model.

How does QuilrAI's Red Team Agent work?

QuilrAI assigns a dedicated Red Team Agent to every Guardian before it goes live. It runs 24/7, generating prompt injection attacks, privilege escalation attempts, and data exfiltration vectors. When it finds a gap, the Guardian updates its rules automatically. The same attack vector never works twice.

AI Security Platform

Every AI agent in your enterprise, governed at runtime.

QuilrAI finds every agent, LLM connection, and copilot running in your org, sets what each one is allowed to do, and blocks violations before they reach data — in under 50 milliseconds.

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LLMs behind one gateway: 200+; LLMs behind one gateway
MCP tools governed: 150+; MCP tools governed
runtime enforcement: <50ms; runtime enforcement
to production: 48h; to production

guardian · payments-summary-agent

task “Summarize open payment issues and post owners to Slack”

jira.search_issues
read · project=PAYMENTS
allowedwithin declared scope
github.list_commits
read · repo: payments-api
allowedwithin declared scope
customers_db.query
SELECT email FROM users
blockedPII outside agent scope
slack.post_message
write · #eng-payments
allowedwithin declared scope

policy guardian/payments-bot · v12decision latency 38ms

Trusted by security and platform teams at

Sentara Healthcare
Vodafone
Concentrix
Hitachi
Spotnana
Axis Bank
UiPath
Vera Therapeutics
Alter Domus

The Problem

Existing controls each capture a fragment.
None see the full chain.

One instruction — “summarize Q3 customer contracts and email the sales team” — becomes dozens of autonomous tool calls across your stack. Each existing control watches a different sliver of it.

Identity

Sees the agent authenticate.

Loses it the moment it starts acting on delegated permissions.

EDR

Sees a process running on the endpoint.

Can't tell an agent reading source code from one exfiltrating it.

DLP

Sees a file move.

Misses data flowing through prompts, tool calls, and model output.

Network

Sees encrypted traffic to an API.

Has no idea which tools the agent invoked or why.

QuilrAI follows the entire chain

Identity → intent → every tool call → every piece of data touched → the final action. One decision engine sees it all and can stop any step, mid-chain.

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How It Works

Every agent gets a Guardian

QuilrAI creates an autonomous security agent for each AI agent it protects, and keeps it hardened for as long as the agent runs.

Discover

Find every agent, model connection, MCP server, and copilot across endpoints and cloud — including the ones nobody told security about.

Full inventory

Understand

The Guardian reads each agent's purpose, asks clarifying questions, and maps the data it touches before writing a single rule.

<1% false positives

Guard

Every agent gets a dedicated Guardian enforcing least-privilege permissions on each tool call it makes.

1 Guardian per agent

Red Team

A dedicated Red Team Agent attacks each Guardian with prompt injection, privilege escalation, and exfiltration attempts — before and after go-live.

Continuous, 24/7

Protect

Violations are blocked mid-chain at runtime, before the request ever reaches your data.

<50ms enforcement

Coach

Instead of silently blocking, Guardians explain the decision and steer users and agents toward the safe path.

Guidance, not friction

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For Engineers

The gateway between your apps and AI

200+ LLMs and 150+ MCP tools behind one endpoint, with security the platform team doesn't have to build.

One base_url change: OpenAI-compatible. No SDK, no code rewrite — works with Claude Code, Cursor, Copilot, Ollama, and anything that speaks the OpenAI API.
Identity on every call: Each request is tied to a person or agent, so permissions and audit trails survive delegation.
Guardrails in the path: Prompt-injection defense, PII redaction, and scope enforcement run inline — not as an after-the-fact log.
Cost & routing built in: Routing groups, automatic failover, and token compression cut spend while keeping latency around 40ms.

Read the engineering docs

integrate

from openai import OpenAI client = OpenAI(    base_url="https://gateway.quilr.ai/v1",  # the only change    api_key=os.environ["QUILR_API_KEY"],) resp = client.chat.completions.create(    model="claude-sonnet-4-6",    messages=[{"role": "user", "content": "Summarize open incidents"}],)# identity, guardrails, routing & cost controls now apply

Customers

Trusted by security teams that ship AI

“Mitigating human-related risks is challenging. I believe in Quilr's mission to transform employees into frontline defenders against cyberattacks rather than the weakest link.”

“Security naturally creates tension. Quilr's approach uses AI to turn employees into active participants, promoting shared responsibility and reducing friction.”

“QuilrAI lets us roll out AI without trading speed for PHI risk. It sits where our staff work and decides in real time what's safe.”

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See what's running in your enterprise

Discover every AI agent and tool across your org in minutes.

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