Compliance That Proves Itself
Traditional GRC is periodic, manual, and reactive — quarterly audits reconstructing evidence from fragmented logs. ElixirData makes compliance continuous and structural
The Challenge
Compliance Frameworks Were Designed for Humans, Not AI Agents
Modern regulations assume accountable human decision-makers, but AI agents now execute thousands of decisions without continuous governance, structural accountability, or real-time evidence generation
Regulatory frameworks assume human decision authority
Periodic audits cannot keep pace with AI
Evidence is reconstructed after decisions occur
AI agents lack formal accountability models
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Audit Lag
Quarterly or periodic audits review static snapshots, while AI agents make continuous high-volume decisions without synchronized oversight
Forensic Evidence
When auditors question AI decisions, teams manually reconstruct reasoning from logs long after execution
Missing Accountability
Most AI systems lack formal authority models mapping decisions to responsible humans and reviewable policies
Governance Gap
Without structural governance, agent decisions execute at scale without embedded compliance validation or auditable decision traces
How It Works
How AI Agents and Context Graph Make Compliance Structural
ElixirData embeds regulatory requirements directly into operational workflows, transforming compliance into a structural property enforced at decision time with continuous, auditable evidence generation
Compliance Context Graph
Maps regulations to business processes, data elements, authority models, and AI agent actions across systems
Regulatory requirement mapping across domains and controls
Control-to-policy tracing from rule to enforcement
Data flow governance aligned to compliance mandates
Outcome: Cross-regulation harmonization across overlapping frameworks
Structural Enforcement via Agents
Regulatory controls compile into policy gates that agents enforce automatically at execution time
Policy gate compilation from regulatory controls
Authority enforcement embedded in governance models
Consent verification at data access points
Outcome: Data residency controls across jurisdictions
Evidence by Construction
Every governed AI decision produces structured, traceable, audit-ready evidence without manual documentation
Automatic evidence production at decision time
One-click audit packs generated on demand
Continuous monitoring of control effectiveness
Outcome: Board-ready dashboards with compliance posture visibility
Capabilities
What Governance, Risk & Compliance Gets With ElixirData
ElixirData provides structural compliance enforcement, continuous monitoring, and automated evidence generation across every AI-driven decision and business process
Regulatory Policy Mapping
Map requirements from SOX, GDPR, HIPAA, PCI-DSS, and EU AI Act to enforceable policy gates
Each requirement traces from regulation to control, policy, and generated evidence with visible gap detection
Make regulatory coverage measurable and continuously enforceable
Real-Time Compliance Dashboard
Enterprise-wide compliance posture updates continuously across domains, processes, and AI agents
Risk scores calculate using recency, criticality, failure percentage, and severity signals
Replace quarterly snapshots with continuous compliance visibility
One-Click Audit Packs
Compile complete evidence bundles instantly including Decision Traces, policy versions, Context Graph state, and authority verification
Export structured audit packages in JSON, PDF, CSV, or XBRL formats
Deliver audit-ready documentation in seconds, not weeks
Compliance Drift Detection
Continuous monitoring identifies decision patterns deviating from defined regulatory policies
Agents assess impact, flag emerging risks, and recommend governed remediation actions
Prevent compliance gaps before they become audit findings
AI Agent Accountability
Every AI agent action maps to a responsible human through structural authority models
Delegation chains remain traceable with recorded policy versions and authorization context
Establish clear accountability across automated decision systems
Cross-Regulation Harmonization
The Context Graph maps overlapping controls across SOX, GDPR, HIPAA, and PCI-DSS frameworks
Single evidence artifacts satisfy multiple regulatory requirements simultaneously
Reduce duplication across multi-framework compliance programs
Use Cases
Governance, Risk & Compliance Scenarios
ElixirData enables continuous regulatory enforcement by embedding structural controls, authority models, and Decision Traces directly into AI-driven operations
Integrations
Connects to Your Existing Stack
ElixirData seamlessly integrates with the tools your development teams already use, including code generation, testing frameworks, security scanners, and deployment platforms
GRC Platforms
Audit & Evidence
Policy Engines
Regulatory Intelligence
FAQ
Frequently Asked Questions
Audit logs record events, but evidence by construction captures context, policy, authority, and reasoning at decision time, eliminating reconstruction or guesswork
Yes. The AI Agent Registry catalogs each agent’s risk level, authority, data scope, and boundaries, while Decision Traces provide required EU AI Act transparency and human oversight
The Context Graph maps shared controls across regulations, allowing one enforced access policy to generate evidence satisfying multiple frameworks simultaneously
Policy gates are version-controlled and update instantly when regulations change. Historical decisions can be replayed against new policies to identify compliance gaps
Ready to Transform Governance, Risk & Compliance?
See how ElixirData's Context OS and AI agents deploy over your existing governance, risk & compliance stack in 4 weeks