88%
Broad adoption
Organizations already using AI.
McKinsey State of AI Report 2025
Control AI risk. Before it runs ahead.
Noqoro acts as a hidden control layer for enterprise AI. It continuously maps AI activity, identifies emerging exposure, validates risk, and guides the controls needed to protect sensitive systems, data, and workflows.
Copilots
Agents
Workflows
Prompts
MCPs
Chatbots
AI Reality
AI is moving fast. Control is falling behind.
The opportunity is real. So is the control gap. Enterprise AI is moving from pilots into real operations while governance, permissions, and runtime controls struggle to keep up.
The Good News
AI is entering real operations.
500%
Momentum
Prompt-volume growth in 2025.
Netskope Cloud and Threat Report 2026
The Risk Now
AI is scaling faster than control.
0%
AI agents exceeded intended permissions.
CSA / Zenity 2026
0%
Security incidents involving an AI agent.
CSA / Zenity 2026
0%
Prompt-based attacks on AI applications.
Gartner 2025
0%
Breaches of AI models or applications.
IBM 2025
Unchecked AI
When AI runs uncontrolled
exposure becomes impact.
Real incidents are already showing up across data leakage, hiring, legal, infrastructure, public systems, and customer-facing AI.
Governance Is Catching Up
Governments are moving from guidance to obligation.
Hover across the policy landscape to see where AI governance is hardening fastest.
Personal-data use now moves into operational notice, rights, and breach obligations.
High-risk AI, chatbots, and GPAI models now sit under explicit legal duties.
Developers and deployers face documented risk, disclosure, and accountability duties.
GenAI, synthetic content, and agents are being pushed under explicit safety controls.
National AI governance is now backed by law, including safeguards for generated content.
WHY NOQORO
Control Layer that
Enterprise AI was missing
Noqoro helps security teams turn hidden AI exposure into validated risk, defensible remediation, and governance-ready evidence.
Discover
→
Recon
→
Validate
→
Defend
→
Comply
↺
Discover
AI Systems
↓
Surface Exposure
↓
Exposure Path
Map agents, prompts, tools, RAG, models, and workflows into one AI attack-surface inventory.
Recon
Exposure Path
↓
Entry Points
↓
Attack Routes
Trace prompts, tools, permissions, data flows, and agent behavior into likely attack routes.
Validate
Attack Test
↓
Confirmed Risk
↓
Evidence
Run controlled tests to separate exploitable risk from potential findings and clean results.
Defend
Finding
↓
Fix
↓
Rescan
Prioritize fixes, apply controls, rescan systems, and track verified risk reduction.
Comply
Controls
↓
Framework Mapping
↓
Audit Evidence
Map findings and controls to AI security and governance frameworks for audit evidence.
Security frameworks we follow
Secure AI before exposure becomes impact.
See how Noqoro helps enterprises detect exploitable AI risk, defend AI infrastructure, and produce governance-ready evidence.
