Demo

Enterprise Security Layer

The control layer
enterprise AI needs.

Discover AI systems, validate reachable exposure paths, defend with real-time controls, and prove alignment with audit-ready evidence.

Step 01

Discover

Find active AI systems, agents, copilots, workflows, prompts, tools, RAG pipelines, and shadow AI usage.

Step 02

Recon

Map reachable enterprise systems, connected tools, permissions, external APIs, and data exposure paths.

Step 03

Validate

Run safe, controlled simulation attacks to test prompt injection, RAG breaches, and unauthorized agent actions.

Step 04

Defend

Map findings to security policies, controls, remediation actions, ownership queues, and retest rules.

01 / DISCOVER AI EXPOSURE

Discover AI exposure hiding across the enterprise.

Automated recon maps shadow AI activity. Find active copilots, unmanaged agents, prompt templates, tool connectors, RAG models, and data pipelines connecting to your corporate networks.

AGENTS RAG COPILOTS TOOLS APIS FLOWS
02 / RECON REACHABLE ASSETS

Map what AI can reach before it becomes risk.

Understand connected tools, permissions, external APIs, and sensitive database systems reachable by AI prompts or model calls. Recon highlights exposure paths, showing where agents could execute uncontrolled actions.

Potential Exposure Path Types
User Prompt Tool Connector External Action
Agent Call Knowledge Base Sensitive Retrieval
AI Workflow SaaS Integration Write Access
Public Endpoint RAG Surface Internal Docs
03 / OFFENSIVE VALIDATION

Validate what can actually be exploited.

Run safe, automated validation tests against prompt templates and data surfaces. Capture real-world execution evidence to separate theoretical vulnerabilities from active, exploit-ready exposures.

Attack Type Target Asset Result Criticality
Prompt Injection Slack Copilot FAIL Critical
RAG Data Breach Support Doc Base FAIL Critical
Indirect Injection HR Intake Pipeline FAIL High
Tool Hijacking Sales CRM Connector PASS High
04 / POLICY CONTROLS

Turn validated exposure into control action.

Bridge the gap between security teams and control structures. Automatically route validated exposures to compliance rules, remediation owners, policy guardrails, and scheduled retesting loops.

Observed Risk Policy Check Control Route Remediate
Control Queue
Slack Copilot Data Leak Policy SecOps Team Enforced
Support Doc Base Access Rules IAM Group Enforced
Sales Connector API Scope Policy IT Admin Routed

REAL-TIME TELEMETRY

Platform Activity

156 AI Systems Discovered
312 Linked Surfaces
87 Connected Tools
23 Path Types Flagged
142 Validation Runs
37 Confirmed Risks
128 Policy Mappings
19 Retests Required

THREAT INDEX

AI Exposure Vector Groups

Prompt Injection Attacks

Severity: Critical Status: Enforced

AI Data Leaks

Severity: Critical Status: Enforced

Compliance & Regulatory Risks

Severity: High Status: Enforced

Uncontrolled Agent Actions

Severity: Critical Status: Enforced
OWASP MITRE ATLAS NIST AI RMF Google SAIF ISO/IEC 42001
GOVERNANCE READY OUTPUT

Evidence that security and governance teams can act on.

Noqoro translates validation activity into structured audit-ready outputs. Prove alignment with security guidelines and compliance regulations by generating detailed trace outputs, control configurations, risk logs, and exportable report packs.

Evidence Pack ID: EV-2026-9812A
Validation Result Trace Captured
Risk Score 8.8 / 10 (Critical)
Attack Trace Vector Injection (12 steps)
Control Owner SecOps - HR Policy Group
Remediation Action API token scope restricted
Retest Status PASSED
Export Format PDF / JSON / SIEM Feed
GET STARTED

Bring enterprise AI into control.

Discover what exists, validate what matters, and defend AI systems with evidence.