CyanoRisk Capability

Govern Every AI Model You Deploy

CyanoRisk AI Asset Security inventories and governs every AI model, dataset, prompt, vector database, inference endpoint, GPU workload, and AI agent — and maps the full AI supply chain that connects them.

Shadow AI spreads faster than any policy. CyanoRisk helps you understand every model, dataset, prompt, and agent — and defend against prompt injection, model poisoning, and data leakage before attackers do.

AI Knowledge Graph

Every Model Sits Inside a Chain of Risk

A model is only as safe as its data, its prompts, and its endpoints. CyanoRisk connects the whole AI supply chain — so a poisoned dataset or an injected prompt is visible before it reaches a customer.

AI Knowledge Graph · fraud-scoring-llm
AI context
OWASP LLM findings4
Sensitive training dataPII
Prompt sources2
GovernanceAPPROVED
ExposureINTERNET-FACING

Product Overview

From AI Sprawl to Governed AI Risk

The Risk Fabric

AI Risk Intelligence Built Into the Digital Risk Fabric

CyanoRisk connects models, datasets, prompts, vector databases, and agents with applications, data, identities, and business services.

AI becomes trustworthy when every model, dataset, and prompt is inventoried, governed, and risk-scored.

The Problem

Why AI Risk Outruns Traditional Security

ModelDataPromptInferenceBusiness ImpactAction

Key Capabilities

Everything Needed to Govern AI Risk at Enterprise Scale

Sixteen capabilities, one AI graph: every model discovered, governed, threat-tested, and scored.

How It Works

Seven Steps From AI Discovery to Governed Trust

Visual Intelligence

The AI Supply Chain

From raw dataset to the customer-facing answer — every stage carries an attack, and every attack maps to a control.

AI Supply Chain · fraud-scoring-llm
DatasetTrainingFoundation ModelFine TuningPromptVector DBInferenceApplicationCustomer
Prompt InjectionIndirect Prompt InjectionModel PoisoningTraining Data PoisoningData LeakageJailbreakPrompt LeakageModel TheftInference AbuseModel DriftHallucination RiskModel Integrity
CyanoRisk AI Risk Engine
Inventory · Govern · Defend
MODEL × DATA × PROMPT → 0–100
AI Risk Score0–100 · banded
AI Asset Inventory1,860 mapped
Prompt-Injection Exposure46 models
Data-Leakage Risk62 flows
Governance Gap118 shadow
ExplainabilitySHAP · drift
Remediation Ticketauto-routed
Executive Viewboard-ready

Attack vs Defense

How an AI Attack Unfolds — and How CyanoRisk Stops It

An LLM does not need a memory-corruption bug to leak your data — it just needs a cleverly worded prompt. Here is the chain, and where CyanoRisk breaks it.

How the attack unfolds

  1. An attacker finds an internet-facing inference endpoint with no input guardrails.
  2. A crafted prompt overrides the system instructions — a direct prompt injection (OWASP LLM A01).
  3. The jailbroken model reveals its system prompt and reaches into the vector database.
  4. PII embeddings and confidential context are leaked back through the model output.
  5. With enough queries the attacker reconstructs proprietary logic — model theft and data loss.

How CyanoRisk protects

  1. CyanoRisk inventories the endpoint, its fine-tuning data, prompts, and vector database as governed AI assets.
  2. It flags the endpoint as internet-facing and the vector database as holding PII — high risk.
  3. The AI risk assessment detects the missing input and output guardrails before promotion.
  4. Guardrails and prompt-injection defenses are added, the endpoint is isolated, and the finding routes to data science with an SLA.
  5. Drift and abuse are monitored continuously, and the executive dashboard reflects the governed, reduced risk.

Business Outcomes

What Changes When Every AI Model Is Governed

Built for the Whole Room

One AI Graph, a Screen for Every Role

“Everyone sees the same AI graph. Nobody sees the same screen.

Related CyanoRisk Capabilities

AI Intelligence Compounds With the Rest of the Fabric

Govern AI Before It Governs Your Risk

CyanoRisk helps organizations inventory, govern, threat-test, and score every AI model, dataset, prompt, vector database, and agent — connected to applications, data, identities, and business services.