Quilr Use Cases

From Data to AI Agents — Unified Protection Powered by Content, Context, and Intent

DATA + AI USE

Discover and Prevent Data Leakage

Quilr scans email, SaaS, files, and AI prompts to spot risks and enforce guardrails before leaks occur.

  • Analyze content, context, and intent to reduce false positives.
  • Apply adaptive guardrails that prevent leaks in real time.
  • Provide unified visibility across SaaS, endpoints, and AI workflows.
DATA + AI USE

Shadow AI & App Discovery

Detect unsanctioned AI tools, copilots, and plugins so you’re never caught off-guard.

  • Map AI app usage across browsers, IDEs, and SaaS.
  • Flag unauthorized or risky apps before compliance gaps form.
  • Enforce policies that approve, block, or coach based on intent.
DATA + AI USE

Regulated Data & PII Protection

Ensure personal, financial, and regulated data are handled per policy everywhere.

  • Detect PII/PHI/PCI using content + context analysis.
  • Differentiate safe business flows from true exfiltration.
  • Apply intent-aware policies that prevent overblocking.
AI YOU USE & BUILD

Prompt Injection & Adversarial Input Protection

Stops jailbreaks, hidden instructions, tool hijack; sanitizes inputs; audits decisions (OWASP LLM-Top10)

  • Detect and neutralize prompt injection attacks in real time.
  • Prevent malicious instructions and model manipulation.
  • Keep assistants aligned to safe intent and context.
AI USE

Safe Code Assistants

Protect dev workflows: prevent leaks, secure patterns, guard secrets, and coach with Quilly.

  • Block secrets, tokens, and IP using content + context inside IDEs.
  • Flag insecure code (CWE/OWASP) before commit or merge.
  • Use Quilly for intent-aware coaching on safer code.
AI USE

Secure Microsoft Copilot

Enforce sensitivity labels, govern plugins, and safeguard prompts/outputs across M365.

  • Honor Microsoft Information Protection labels across Copilot flows.
  • Prevent sensitive data from leaking in summaries or replies.
  • Govern connectors/plugins with intent-driven guardrails.
AI YOU BUILD

Agentic AI Behavior Control

Govern autonomous agents by monitoring actions, limiting data, and enforcing policies

  • Set strict boundaries on intent for what agents can achieve.
  • Audit/log decisions for explainability & compliance.
  • Block risky external calls or actions via content + context.
AI YOU BUILD

AI Security Posture & Compliance Scoring

Continuously monitor, audit, and report AI adoption risks across tools, agents, and models.

  • Assess AI risks across users, apps, and agents with posture scores.
  • Generate compliance-ready reports (NIST, EU AI Act, HIPAA, SOC2).
  • Highlight exposure by intent, context, and data type.
AI USE

Plugin, Connector & Extension Risk Management

Vet and enforce policy on 3rd-party plugins, connectors, and extensions in AI workflows.

  • Classify/score plugins using content + context of accessed data.
  • Enforce least-privilege access and restrict sensitive flows.
  • Provide approval + monitoring workflows for risky connectors.
DATA + AI USE

Unified Data Protection + AI Security

Combine modern DLP with AI guardrails and agent security in one platform.

  • Extend DLP beyond regexes with content, context, and intent.
  • Apply a single policy fabric across data, users, and AI.
  • Eliminate silos by unifying DLP + AI Security in one solution

Deployment Options

Quilr LLM Gateway

Direct integration with any LLM provider for instant AI security and data protection.

Quilr SDK

Embed Quilr's security controls directly into your applications with simple SDK integration.

browser extension / endpoint agent

Observe and protect all activities in browser and desktop apps(co-pilot, IDE’s)

Quilr Enterprise On-Prem

Deploy Quilr on your infrastructure for maximum control, compliance, and data sovereignty.

Why Quilr

Content • Context • Intent

Understands what, where, why — then applies input/output/tool-call guardrails to prevent leaks and misuse in real time.

Unified DLP + AI Security

Unified DLP + AI Security
One platform securing files/email/SaaS and LLMs, copilots, and agents — with shared policies and logs.

Prompt-Injection & Jailbreak Defense

Built-in detection/sanitization for prompt injection, jailbreaks, tool hijacking, and adversarial patterns across every surface.

OWASP Top-10 (LLM) & NIST-Aligned

Controls mapped to OWASP Top-10 for LLM Applications, guided by NIST AI RMF and MITRE ATLAS techniques.

Human-Centric with Quilly

In-flow coaching that explains why something is risky and offers safer alternatives — fewer false blocks, faster resolution.

Everywhere Deployment, Enterprise Governance

Browser, APIs, Endpoints, IDEs, LLM Gateway/Proxy, SDK — with audit trails, data residency options, and compliance reporting.
WHAT PEOPLE ARE SAYING

“Quilr offers a novel approach using AI agents to solve an immediate, top-of-mind problem globally that resonates with enterprise CISOs in India, Southeast Asia, and the Middle East,” said Anuj Gupta, CEO of Hitachi Systems India. “We’re partnering with Quilr to help our customers drive innovation while enhancing security.”

Anuj Gupta - CEO of Hitachi Systems India

“Mitigating human-related risks is challenging,” added Tanuj Gulati, former CTO and founder of Securonix. “I believe in Quilr’s mission to transform employees into frontline defenders against cyberattacks rather than the weakest link.”

Tanuj Gulati - Former CTO and Founder of Securonix

“Enterprises haven’t changed their approach to security in years, which leaves proactive measures idle because of high disruption,” said Sachin Gupta, CISO at Protiviti. “Quilr uses AI to fill a significant gap—improving overall posture, saving time, and enabling secure AI adoption and a positive security culture. It’s truly transformative.”

Sachin Gupta - CISO at Protiviti

“Security naturally creates tension, and labeling people as weak links doesn’t help,” said Benjamin Godard, Head of Security at Spotnana. “Quilr’s approach uses AI to turn employees into active participants, promoting shared responsibility and reducing friction.”

Benjamin Godard - Head of Security at Spotnana

“Quilr is redefining how organizations manage user behavior. With most breaches caused by human error, it has the potential to be a real game changer in reducing employee-driven incidents and data leaks. What sets Quilr apart is its mindset: employees aren’t the problem—they’re the solution. By actively coaching users and spotting risky behavior early, Quilr helps people make smarter, safer decisions in the moment.”

James Kirk - Head of Security & privacy at Jellyfish
Arrow
Arrow

Partners

// Replace your JavaScript with this version that forces the width changes