Updating the Rulebook
Adapt governance policies dynamically to new regulations and threats
156
Active Policies12
Pending Updates8
Regulatory Changes15
Threat Updates124
Automated Rules94%
Compliance RateRegulatory & Legal Updates
EU AI Act - High Risk System Requirements
Summary
New requirements for transparency, human oversight, and technical documentation for high-risk AI systems
Impact Assessment
• Mandatory explainability for all high-risk models
• Enhanced documentation requirements
• Quarterly compliance reporting
Implementation Status
Affected Policies
23 policies 45 modelsCCPA Amendment - AI Decision Rights
Summary
Extended consumer rights for AI-driven decisions including opt-out and explanation requirements
Impact Assessment
• Right to opt-out of automated decisions
• Mandatory explanation interface
• 30-day response requirement
Implementation Status
Affected Policies
12 policies 28 modelsISO/IEC 23053 Update
Summary
Updated framework for AI trustworthiness including new bias detection requirements
Impact Assessment
• New bias metrics required
• Enhanced testing protocols
Implementation Status
Affected Policies
8 policies 67 modelsPolicy-as-Code Editor
Active Policy Rules
rule "demographic_parity_check" {
description = "Ensure demographic parity across protected groups"
when {
model.type == "CLASSIFICATION"
model.risk_level >= "HIGH"
}
then {
assert demographic_parity_difference < 0.05
assert equality_of_opportunity > 0.8
if (violation) {
action = "BLOCK_DEPLOYMENT"
notify = ["ethics_board", "model_owner"]
log_level = "CRITICAL"
}
}
monitoring {
frequency = "CONTINUOUS"
threshold_alert = 0.04
}
}Rule Statistics
Total Rules
245
Active Rules
218
Rules Triggered (24h)
1456
Violations Blocked
89
Rule Coverage
Emerging Threats & Risk Adaptations
Adversarial Prompt Injection
New techniques for manipulating LLM outputs through crafted prompts
Mitigation Strategy
Implement prompt filtering, output validation, and continuous monitoringModel Inversion Attacks
Techniques to extract training data from deployed models
Mitigation Strategy
Apply differential privacy, limit API access, monitor query patternsSynthetic Data Poisoning
Contamination of training data with synthetic malicious samples
Mitigation Strategy
Enhanced data validation, provenance tracking, anomaly detectionFairness Gaming
Deliberate manipulation to pass fairness checks while maintaining bias
Mitigation Strategy
Multi-metric fairness assessment, continuous monitoring, A/B testingPolicy Change History & Version Control
Enhanced Fairness Requirements
Reduced demographic parity threshold from 0.1 to 0.05 for high-risk models
Author: Sarah Chen | Version: 2.4.0 | Models Affected: 23New Data Retention Policy
Implemented 90-day retention limit for inference data in compliance with GDPR
Author: Mike Johnson | Version: 2.3.0 | Models Affected: 45Security Patch - Adversarial Defense
Added mandatory adversarial robustness testing for customer-facing models
Author: Lisa Wang | Version: 2.2.1 | Models Affected: 18Deprecated Legacy Metrics
Removed outdated fairness metrics in favor of updated standards
Author: James Smith | Version: 2.2.0 | Models Affected: 67Global Compliance Tracking
Regional Compliance Status
| Region | Regulation | Last Updated | Compliance | Pending Actions | Status |
|---|---|---|---|---|---|
| European Union | EU AI Act | Dec 15, 2024 |
92% |
3 | On Track |
| United States | US AI EO | Dec 10, 2024 |
88% |
5 | Minor Issues |
| California | CCPA/CPRA | Dec 18, 2024 |
95% |
1 | Compliant |
| United Kingdom | UK AI Framework | Dec 12, 2024 |
87% |
4 | On Track |
| Singapore | Model AI Governance | Dec 8, 2024 |
94% |
2 | Compliant |
Policy Update Metrics
Avg Update Time
3 days
Auto-Applied
78%