Regulatory Agility

Enable rapid adaptation to global regulatory changes through automated compliance

12 Regulations Tracked
Last Update: Dec 12, 21:06
Global Regulatory Landscape
EU AI Act
Active

Comprehensive AI regulation covering high-risk systems, transparency, and penalties up to €35M

Compliance Status:
94% Compliant
US Executive Order
Active

Federal guidelines for AI safety, security testing, and algorithmic discrimination prevention

Compliance Status:
87% Compliant
UK AI White Paper
Draft

Principles-based approach with sector-specific regulators overseeing AI governance

Readiness Status:
78% Ready
Canada AIDA
Proposed

Artificial Intelligence and Data Act focusing on impact assessments and risk mitigation

Preparation Status:
65% Prepared
Regulatory Agility Score (RAS)

8.4

RAS = (Regulations Automated) / (Mean Time to Comply)

Regulations Automated

12 / 15
80%

Mean Time to Comply (MTTC)

1.8 days
Target: ≤3 days

Key Capabilities:

Policy-as-Code Engine
Auto Compliance Mapping
Real-time Monitoring
Multi-Jurisdiction Support
Automated Compliance Mapping
Regulation Article/Section Requirement Automated Check Status
EU AI Act Article 13 Transparency & Explainability
XAI_FIDELITY > 0.9
Compliant
EU AI Act Article 9 Risk Management System
RISK_SCORE < 0.3
Compliant
EU AI Act Article 10 Data & Governance
DATA_QUALITY > 0.85
Warning
US Executive Order Section 4.1 Safety Testing
SAFETY_SCORE > 0.8
Compliant
US Executive Order Section 4.2 Bias Assessment
BIAS_SCORE < 0.1
Compliant
GDPR Article 22 Right to Explanation
EXPLANATION_AVAILABLE
Compliant
Singapore AI Verify Section 2.1 Algorithmic Impact Assessment
AIA_COMPLETED
Pending
Regulatory Change Intelligence

Recent Changes (Last 30 Days)

EU AI Act Article 13 - Updated transparency requirements

Updated 3 days ago

US EO - New federal contractor requirements

Updated 7 days ago

Singapore AI Verify - Version 2.0 released

Released 12 days ago


Upcoming Changes (Next 90 Days)

Canada AIDA - Expected parliament vote

Expected in 45 days

UK AI Regulation - Public consultation ends

In 22 days

Machine-Readable Rules Engine

Rule Translation Process

1. Legal Text Ingestion

NLP parsing of regulatory documents

2. Semantic Analysis

Extract requirements and obligations

3. Rule Generation

Convert to executable policy-as-code

Example: EU AI Act Article 13

Human-Readable Legal Text:

"High-risk AI systems shall be designed to be sufficiently transparent to enable users to interpret the system's output..."

Machine-Readable Rule:

IF (AI_SYSTEM.RISK_CLASSIFICATION == "High-Risk")
THEN (REQUIRE (XAI_METHOD.FIDELITY > 0.9)
AND (LOG_DECISION.TRUE))
AND (USER_INTERPRETATION.ENABLED == TRUE)

Regulatory Agility Performance Metrics

1.8

Days to Compliance

40% faster than target

80%

Automation Coverage

12 of 15 regulations

94%

Accuracy Rate

Rule translation accuracy
System Health

Rule Engine Uptime

99.8%

Change Detection Rate

96%

Compliance Coverage

91%

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