Your AI system
processes sensitive data.
Do you know your risks?

Describe your AI system and get a complete risk assessment across 16 security frameworks, with control recommendations, implementation tools, AIUC-1 certification readiness, and an optional Privacy Impact Assessment document. In minutes, not months.

NIST AI RMFNIST 600-1NIST 100-2eNIST 800-218AOWASP LLMOWASP AgenticOWASP DSGAICSA AICMCSA AI-CAIQAIUC-1MITRE ATLASMAESTROCisco AI DefenseSAFE AICisco FrameworkLLM Taxonomy
✕ 16 frameworks to read manually✕ Assessments take weeks✕ $40K+ for consultants✕ No cross-framework mapping✕ Controls disconnected from tools✕ PIA documents cost $5K-15K each✕ 16 frameworks to read manually✕ Assessments take weeks✕ $40K+ for consultants✕ No cross-framework mapping✕ Controls disconnected from tools✕ PIA documents cost $5K-15K each
The problem

AI security is fragmented, manual, and expensive.

16
frameworks to track
NIST, OWASP, CSA, MITRE, Cisco. Each has its own structure, IDs, and update cycle. No single person reads all of them. And they don't cross-reference each other.
$40K+
per manual assessment
Consultants charge five figures to produce a spreadsheet. Most of that cost is framework research, not expert judgment. The analysis itself takes days, not the months you wait.
0
tools that connect the dots
Existing GRC platforms track one framework at a time. None traverse the connections between NIST risks, OWASP controls, AIUC-1 requirements, and the specific tools that implement each control.
AI Risk Library

Free risk reports for the tools your team already uses.

Source-verified risks from official vendor documentation. Updated monthly. No signup required. Download the report or customize it for your jurisdiction, data types, and compliance needs.

95
Copilot M365
10 risks
86
GitHub Copilot
8 risks
77
ChatGPT Enterprise
8 risks
45
ChatGPT Free/Plus
6 risks
75
Figma AI
8 risks
87
Grammarly
8 risks
85
Notion AI
8 risks
64
Cursor
8 risks
86
Workday OCR
8 risks
90
Copilot Studio
8 risks
81
ClickUp Brain
7 risks
78
ClickUp Agents
7 risks
85
Claude Enterprise
8 risks
80
Lovable
7 risks
What you get

Not just risks. The full picture.

Risk identification
Every risk that applies to your system, automatically activated based on your tier. Not a generic checklist.
01
Control recommendations
243 AICM controls mapped to your risks. Each one tells you WHAT to implement, not just what's wrong.
02
Implementation tools
Microsoft Purview, Foundry, Sentinel, Entra, Defender, and Cisco AI Defense mapped to every control. Specific products, not generic advice.
03
AIUC-1 certification
49 requirements assessed. Gap analysis with evidence mapping. Think of it as SOC 2 for AI: the certification your customers will ask for.
04
Contextual reasoning
Every finding explains WHY it applies to YOUR system. References your data types, technology, and jurisdiction. Not boilerplate.
05
Data residency checks
Data storage and data processing are two different questions. We check both. Cross-border transfers are auto-flagged with regulation-specific guidance for PIPEDA, LGPD, GDPR, and more.
06
Privacy Impact Assessment
Optional PIA/DPIA document generation. Data inventory, legal basis analysis, DPIA trigger assessment, data flow mapping, and a prioritized action plan. The document consultants charge $5K-15K for.
07
14 pre-assessed tools
Copilot M365, ChatGPT, Cursor, ClickUp, Workday, Grammarly, Claude, Figma, Lovable, and more. Select a tool, get a pre-filled assessment with vendor-specific risks, gaps, and recommendations.
08
Global jurisdiction
PIPEDA, GDPR, LGPD, UK DPA, CCPA, HIPAA, Quebec Law 25. Multi-country assessments with regulation-specific severity scoring. Not US-only.
09
How it works

Four steps. Five minutes.

01
Describe your AI system
What model, what data, what jurisdiction. A short form - not a 40-page questionnaire. Select your country and regulations, we handle the rest.
02
Automatic tier classification
Simple automation, Predictive ML, Generative AI, RAG, Agentic, Multi-Agent. Each tier activates only the frameworks that apply. A document processor doesn't get the same treatment as a multi-agent system.
03
Graph-powered analysis
1,890 nodes across 16 frameworks, deterministically traversed. Risk to Control to AIUC-1 requirement to Implementation tool. Every connection is traceable. No hallucinated recommendations.
04
Assessment with implementation plan
Download a 7-sheet Excel: risk register with reasoning, AIUC-1 readiness, control recommendations with Microsoft and Cisco tools, cross-framework reference, excluded scope, and glossary.
Tier system

Assessment scales to your complexity.

A simple automation gets 4 risks assessed. A multi-agent system gets 53. The engine adapts to what your system actually does.

T1
Simple
4
risks assessed
Rule-based pipeline
T2
Predictive
10
risks assessed
Document AI, ML classifier
T3
Generative
38
risks assessed
GPT, Claude, Llama
T4
RAG
41
risks assessed
Knowledge retrieval + LLM
T5
Agentic
51
risks assessed
Tool-calling, autonomous
T6
Multi-Agent
53
risks assessed
Agent coordination
Implementation

We don't just find problems. We tell you what fixes them.

80 controls mapped to specific Microsoft and Cisco products. Each recommendation names the tool, what it does, and what audit evidence it generates.

Azure AI Foundry
Guardrails, content safety, evaluation, red-teaming
Microsoft Purview
DLP, data classification, governance, DSPM
Microsoft Sentinel
SIEM, audit logging, threat detection
Microsoft Entra
Agent identity, access control, lifecycle
Microsoft Defender
Endpoint protection, vulnerability scanning
Cisco AI Defense
Supply chain scanning, runtime protection
Full chain
Risk NIST-GAI-04 → Control DSP-07 → Tool Azure AI Foundry → AIUC-1 A006 → Evidence: Redaction accuracy reports
Global compliance

One assessment. Every regulation that applies to you.

Data residency ≠ data processing
Most tools ask one question: "where is your data?" We ask two: where is it stored, and where does the AI service actually process it. Your data can sit in one country while the AI model runs in another. That's a different compliance question entirely.
Multi-jurisdiction support
PIPEDA, LGPD, GDPR, UK DPA, CCPA, HIPAA, Quebec Law 25, and more. Select your country, we auto-suggest applicable regulations.
Cross-border auto-detection
If your AI service processes data outside your required residency, we auto-inject it as a HIGH risk with the correct legal provision - PIPEDA 4.1.3, LGPD Article 33, GDPR Chapter V, or UK IDTA.
Frameworks

16 frameworks. Cross-referenced.

All publicly available standards from leading security organizations. Connected through a knowledge graph, not checked independently.

NIST AI RMFNIST 600-1NIST 100-2eNIST 800-218AOWASP LLMOWASP AgenticOWASP DSGAICSA AICMCSA AI-CAIQAIUC-1MITRE ATLASMAESTROCisco AI DefenseSAFE AICisco FrameworkLLM Taxonomy
FAQ

Questions we hear most.

What frameworks do you cover?
+
What is AIUC-1 and why should I care?
+
How is this different from a GRC platform?
+
Do I need to know these frameworks?
+
What about EU AI Act / GDPR?
+
Is the assessment output reviewed by humans?
+

Ready to assess your AI system?

16 frameworks. 243 controls. Implementation tools. AIUC-1 certification readiness.
Five minutes.