QuilrAI
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Secure the AI You Build

Runtime security for every custom AI application, agent, and workflow your teams create, from system prompt to production.

Internal chatbots, proprietary agents, RAG pipelines, multi-agent systems. Every one processes sensitive data, calls external APIs, and makes decisions on behalf of your organization. QuilrAI reads each app's intent, generates custom red team tests, deploys a Guardian Agent, and secures the entire stack across four control planes.

1st Party AI= AI you build
·
Intent-Based Red Teaming
·
Guardian Agent
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<50ms Latency

What 1st Party AI Looks Like

Every type of custom AI application introduces unique data flows, tool integrations, and risk surfaces.

Internal Chatbots

Customer support bots, employee help desks, onboarding assistants built on LLM APIs.

User Message -> System Prompt -> LLM -> Response
Prompt injection via user input

RAG Pipelines

Knowledge base Q&A systems that query vector databases and proprietary document stores.

Query -> Embeddings -> Vector DB -> LLM -> Answer
Data leakage from retrieved documents

Custom Agents

Workflow automation agents for invoice processing, data extraction, and report generation.

Task -> Agent -> Tool Calls -> APIs -> Result
Excessive tool permissions

Multi-Agent Systems

Orchestrated AI workflows where multiple agents collaborate, delegate, and share context.

Orchestrator -> Agent A -> Agent B -> Shared State
Cross-agent privilege escalation

AI-Powered APIs

Microservices exposing LLM capabilities via REST/GraphQL endpoints for internal consumption.

API Request -> Auth -> LLM Service -> API Response
Unauthorized API access and abuse

Autonomous AI Workers

Fully autonomous agents with browser control, MCP orchestration, and independent decision-making.

Goal -> Plan -> Execute -> Observe -> Iterate
Unbounded scope and action space

How Custom AI Apps Work

Every custom AI application follows the same fundamental chain. Risks emerge at every step, and compound across the pipeline.

User

Injection entry point

System Prompt

Defines app intent & scope

LLM

Reasoning & generation

Tools & APIs

External actions & data

Data Sources

Sensitive data access

Response

Output filtering needed

QuilrAI intercepts at every stage: input validation, prompt analysis, tool authorization, data classification, and output filtering.

How QuilrAI Protects Custom AI

For every custom AI application you build -- chatbots, RAG pipelines, autonomous agents, multi-agent systems -- QuilrAI auto-creates a dedicated Guardian Agent that understands your app's defined behavior and enforces it at runtime.

Intent Understanding

Guardian reads each app's system prompt, understands its defined behavior, and creates guardrails matching the specific use case.

Identity Controls

Different users get different permission levels. Guardian applies identity-based access so each role only reaches the data it should.

Continuous Red Teaming

Red Team Agent probes for prompt injection, data leakage, and scope drift -- attacking both the agent and its Guardian to auto-fix gaps.

Sub-30ms Intervention

At runtime, Guardian intervenes in under 30ms if an agent makes mistakes, gets compromised, or drifts from its defined intent.

What this looks like in Guardian setup

Allow access to customer database? → Tools: query_customersRead-only
Allow external API calls? → Tools: send_email, webhook_postApprove
Data sensitivity: PII [likely], PFI [possible]Redact both

Why Existing Security Fails

Firewalls do not inspect prompts. WAFs do not understand intent. SIEM cannot trace agent reasoning chains.

Prompt Injection

Direct injection via user input, indirect injection through retrieved documents, and tool-output injection where API responses contain adversarial payloads.

Direct injectionIndirect injectionTool-output injection

Data Leakage

AI responses expose PII, credentials, proprietary data, and internal system details. RAG pipelines surface documents beyond the user's clearance level.

PII exposureCredential leaksOver-retrieval

Scope Drift

Apps act beyond their intended purpose. A customer support bot starts giving financial advice. A code assistant begins executing arbitrary commands.

Role violationTask escalationBehavioral drift

Excessive Permissions

Agents granted database write access, admin API keys, and broad tool capabilities far exceeding task requirements.

Over-provisioned keysWrite access abuseBroad tool scope

How QuilrAI Secures 1st Party AI

Four interconnected control planes covering every layer of your custom AI stack.

LLM Gateway

Prompt & Data Plane

  • System prompt analysis to extract builder intent and scope definitions
  • Real-time input/output filtering for injection, exfiltration, and policy violations
  • Data Loss Prevention (DLP), classify and redact PII, PHI, credentials before they reach or leave the model
  • Semantic content inspection beyond keyword matching

Build, Test, Protect

Experience the full QuilrAI pipeline. Define an agent, watch QuilrAI analyze its intent, run automated red team tests, then try to break through the Guardian yourself.

Define
Analyze
Red Team
Protect

Define Your Agent

Select a preset agent type to begin the security analysis pipeline.

Powered by the Decision Engine

Every interaction with your custom AI applications is scored by an AI-native reasoning engine with three types of awareness. Real-time decisions at sub-50ms latency.

Content Awareness

Understands the semantic meaning of every prompt, response, and tool call. Detects sensitive data, policy violations, and malicious intent in real time.

Context Awareness

Considers the full conversation, user identity, agent state, and application context. Who is asking, what app is this, what data is accessible.

Intent Awareness

Compares every action against the builder's defined scope and policies. Knows what the app is SUPPOSED to do, and flags everything else.

Agent Action
Decision Engine
Score & Classify
Enforce Policy

Allow · Coach · Redact · Block — every decision logged for audit

<50ms

Decision Latency

<1%

False Positive Rate

All 4

Control Planes

100%

Agent Coverage

Secure Every Custom AI Application

Free risk assessment. See vulnerabilities in your AI apps in minutes. Intent-based red teaming. Guardian Agent deployment. No agents to install.