XenonStack developed AgentGRC, Agent GRC is an Agentic Governance Platform delivering Responsible AI, multi-cloud compliance, and autonomous oversight aligned with ISO 42001 and EU AI Act. As enterprises scale AI adoption and cloud workloads, traditional compliance tools fall short in the era of AI regulations and explainability demands. AgentGRC shifts compliance into a continuous, autonomous discipline. Leveraging AWS services such as IAM, Config, CloudWatch, GuardDuty, Macie, and SageMaker, the solution provides year-round audit readiness, AI risk monitoring, and unified regulatory mapping. Organizations achieved continuous compliance, reduced audit fatigue, improved risk transparency, and 40% lower compliance operational costs.
Customer: XenonStack
Industry: AI Governance & Compliance Technology
Location: Global
Company Size: -----
Fragmented Regulations: Overlapping standards (SOC 2, HIPAA, GDPR, PCI-DSS, NIST, EU AI Act) created redundant compliance efforts.
Reactive Compliance: Teams scrambled during audits to collect CloudTrail logs, IAM mappings, and S3 evidence, leading to “compliance crunches.”
AI Risk Exposure: SageMaker/Bedrock workloads faced drift, bias, and explainability risks.
Vendor Blind Spots: Third-party SaaS/LLMs lacked oversight, creating compliance gaps.
New compliance obligations under EU AI Act and ISO 42001 for fairness and transparency
Audit Fatigue: Manual evidence gathering caused errors, delays, and rising costs.
Need for automated ethics and bias reporting across all AI models.
Legacy GRC Systems: Not designed for AWS-native, real-time monitoring.
Integration Complexity: Traditional tools lacked synchronization with AWS Config, GuardDuty, and multi-account setups.
Scalability: Compliance pipelines couldn’t scale with multi-region deployments.
Evidence Management: Storing, indexing, and retrieving audit artifacts was manual.
AI Oversight: Monitoring fairness, lineage, and drift required GPU-enabled resources and new governance models.
Agent GRC embeds autonomous governance agents coordinated via LangGraph / A2A framework for continuous oversight across AWS and multi-cloud environments. The solution enables:
Continuous Oversight: Agents monitor IAM drift, Config violations, GuardDuty findings, and SageMaker model performance.
Unified Regulatory Mapping: “Implement once, satisfy many” by mapping AWS Config rules to multiple frameworks.
AI Risk Intelligence: Continuous scoring of drift, bias, anomalies, and lineage in AI workloads.
Audit Automation: Evidence stored in Amazon S3 and indexed via DynamoDB/Redshift ensures year-round readiness.
AWS-Native Integration: Built on IAM, Config, CloudWatch, Security Hub, Macie, and SageMaker for seamless adoption.
Responsible AI Module: It integrates SageMaker Clarify and Bedrock Guardrails for fairness and bias monitoring.
Identity & Compliance: IAM, IAM Identity Center, Config, Control Tower
Monitoring & Security: CloudWatch, CloudTrail, Security Hub, GuardDuty, Inspector, Macie
Data & Storage: S3 (evidence lake), DynamoDB/RDS (metadata), Redshift (dashboards), OpenSearch (indexing), Elasticache (low-latency)
AI Oversight: SageMaker, Bedrock
Event-Driven Orchestration: Step Functions, EventBridge, Lambda
Encryption & Privacy: AWS KMS for evidence encryption
ETL & Analytics: Glue for compliance data pipelines
Bias and Fairness metrics: AWS SageMaker Clarify
Real-time risk dashboards: QuickSight
Framework mapping: AWS Audit Manager
LLM policy enforcement: Bedrock Guardrails
Core (Agent GRC): Oversight agents, regulatory mapping, risk intelligence, evidence automation, AI governance, orchestration (MCP/LangGraph/A2A).
AWS Services: IAM, Config, CloudWatch, Macie, GuardDuty, S3, DynamoDB, Redshift, Elasticache, OpenSearch, Glue.
External Systems: ERP/CRM platforms (SAP, Salesforce, Oracle), vendors, LLMs.
Dashboards & Auditor Portal: Real-time risk visibility and evidence access.
The implementation followed Agile + DevOps principles:
Phase 1 – Discovery (Weeks 1–2): Defined compliance workflows, mapped frameworks, identified AWS services.
Phase 2 – Development (Weeks 3–8): Built oversight agents on EKS/EC2, integrated SageMaker drift monitoring, implemented evidence automation in S3/DynamoDB.
Phase 3 – Integration & Testing (Weeks 9–12): Connected ERP/CRM and CI/CD pipelines; tested regulatory mapping and dashboards.
Phase 4 – Deployment & Monitoring (Weeks 13–16): Multi-region deployment via CloudFormation; enabled auditor portals and real-time dashboards.
Phase 5 - Continuous Optimization and Regulatory Update Automation (On-going) – Agent GRC Knowledge Graph fetches new controls quarterly.
IAM + SSO with RBAC
KMS encryption for evidence
GuardDuty, Inspector, Macie for threat detection & privacy
Human-in-the-loop (HIL) workflows for high-risk AI models
Responsible AI Controls (ISO 42001 / EU AI Act) – bias logging, human-in-the-loop validation, and model explainability.
Explainability reports and bias scores are encrypted via AWS KMS and stored in S3 evidence buckets.
Continuous Compliance Fabric: Always-on oversight eliminates compliance crunches.
Agentic Orchestration: Governance, risk, and audit agents coordinate through LangGraph and MCP.
AI-Aware Governance: Drift, bias, and fairness monitoring built directly into AI oversight.
AWS-Native Advantage: Direct integration with IAM, Config, Security Hub, SageMaker.
Audit Portals: Real-time evidence APIs reduce audit delays.
Integration: ServiceNow / Jira integration for auto remediation tickets.
Explainability: Explainability as-a-Service for regulated AI models.
Extensibility: MCP/LangGraph/A2A orchestration integrates with DevOps, SecOps, FinOps.
Results and Benefits
Audit Efficiency: 50% reduction in audit preparation time.
Cost Savings: 40% reduction in compliance operational costs via automation.
AI Risk Mitigation: Continuous oversight reduced incidents of model drift/bias by 35%.
Audit Readiness: Year-round evidence availability eliminated “compliance crunch.”
Scalability: Successfully managed compliance across 100+ AWS accounts/regions.
Performance: Real-time compliance dashboards with sub-second evidence retrieval via Elasticache.
Scalability: EKS-based oversight agents scaled dynamically.
Reliability: Multi-region S3 replication ensured evidence resilience.
Security: End-to-end encryption with AWS KMS + controlled auditor access.
Integration: Embedded compliance into CI/CD pipelines for DevOps alignment.
Analysis and KPIs: Responsible AI dashboards via QuickSight provide trust and fairness KPIs in real time.
Agent GRC has transformed compliance into a continuous process. With autonomous oversight and AWS-native integrations, we’ve eliminated last-minute audit pressure and gained real-time visibility into AI risks.
- CTO, XenonStack
Audit Fatigue: Automated evidence pipelines reduced manual effort.
Vendor Oversight: Integrated monitoring of third-party LLMs closed compliance gaps.
AI Black-Box Risks: Implemented explainability and lineage for SageMaker/Bedrock.
Cross-cloud evidence federation resolved with multi-region agent replication.
Integrate Explainability and HIL (Human in loop) workflows into risk audits from project inception.
Define compliance KPIs early (e.g., audit readiness, AI drift thresholds).
Prioritize encryption and access control from day one.
Embed governance into CI/CD pipelines.
Use HIL workflows for sensitive AI use cases.
Expand governance for multi-cloud compliance (Azure, GCP).
Enhance AI fairness monitoring with SageMaker Clarify.
Extend evidence analytics with Amazon QuickSight dashboards.
Support edge AI compliance with Outposts/Local Zones.
Build regulatory intelligence packs for new frameworks (e.g., US AI Bill of Rights).
Agent GRC has evolved into an Agentic Governance Platform for Responsible AI and Multi-Cloud Compliance, embedding autonomous oversight, fairness monitoring, and continuous trust assurance within enterprise operations.” AgentGRC on AWS redefines compliance for the AI era. By embedding autonomous oversight, unified regulatory mapping, and audit-ready automation into AWS, enterprises gain resilience, trust, and operational efficiency. With future-focused enhancements, AgentGRC positions XenonStack as a leader in AI-powered governance and compliance.