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BUILT FOR AI GOVERNANCE
Generic GRC tools force you to adapt. Aegis is purpose-built for AI—with native model risk classification, automated bias testing, multi-framework compliance, and complete workflows designed specifically for ML/AI systems.
Why Purpose-Built Matters
AI governance requires AI-specific capabilities that generic tools don't provide.
- ×No concept of model risk tiers or AI-specific threats
- ×Can't test for bias, fairness, or drift automatically
- ×Compliance frameworks not designed for AI regulations
- ×No understanding of ML lifecycle or model versioning
- ×Months of custom configuration required
- Native AI risk classification (EU AI Act, NIST AI RMF)
- Built-in bias testing, vulnerability scanning, drift detection
- Pre-configured for EU AI Act, GDPR, NIST, CCPA, HIPAA
- Model lifecycle tracking with version control
- Deploy and start governing AI in hours, not months
AI-Native Core Capabilities
Features designed specifically for AI/ML governance, not adapted from generic tools.
- •Model-specific metadata tracking
- •AI risk classification
- •ML lifecycle management
- •Auto-detect overlapping requirements
- •One-click compliance reports
- •Real-time status tracking
- •Scheduled compliance checks
- •Automated bias testing
- •Real-time drift detection
- •Model inventory → Testing → Audit → Report
- •Violation detection → Task assignment → Evidence → Closure
- •Risk assessment → Mitigation → Verification
- •Framework-specific documentation
- •Change history tracking
- •Evidence collection system
- •Data scientists + Compliance officers + Legal
- •Workspace-based organization
- •Automated notifications & alerts
Aegis vs. Generic GRC Tools
See what makes a purpose-built AI governance platform different.
| Capability | Aegis Oversight | Generic Tools |
|---|---|---|
AI-Specific Risk Classification Classify models by risk level based on AI regulations (EU AI Act risk tiers, NIST trustworthiness) | − | |
Multi-Framework Compliance Engine Native support for 5+ AI/data regulations with overlap detection and unified reporting | − | |
Automated Bias & Fairness Testing Built-in fairness metrics (demographic parity, equalized odds) with scheduled testing | − | |
Model Lifecycle Management Track AI models from development through deployment, production, and deprecation | − | |
Remediation Workflow Engine Structured violation resolution with task management, evidence collection, and auto-closure | − | |
800+ Pre-Built AI Controls Framework-mapped controls ready to implement, not generic compliance templates | − | |
AI Compliance Timeline Visualization See compliance history and changes over time for each model | − | |
Generic Asset Management Track any type of asset (servers, apps, etc.) without AI-specific features | − |
Success Stories
Organizations switching from generic tools to Aegis.
Challenge:
Tried adapting ServiceNow GRC for AI governance—after 6 months, still couldn't track model-specific compliance
Solution:
Switched to Aegis with AI-native model inventory, automated compliance checks, and framework-specific controls
Result:
Operational in 2 weeks, passed EU AI Act audit in 3 months, reduced compliance overhead by 70%
Challenge:
Using spreadsheets and generic tools—no automated bias testing, manual audit prep took months
Solution:
Deployed Aegis with automated bias testing schedules, HIPAA control library, and audit report generation
Result:
Automated 90% of testing, reduced audit prep from 8 weeks to 3 days, achieved HIPAA certification
Challenge:
Multiple tools for different frameworks (GDPR, CCPA)—duplicate work, no unified view of AI compliance
Solution:
Consolidated to Aegis with multi-framework support, overlap detection, and unified compliance dashboard
Result:
Eliminated 60% duplicate work, single source of truth for all AI governance, zero regulatory findings
Experience AI-Native Governance
Stop fighting with generic tools. Start with a platform built specifically for AI governance from day one.
