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    Agent GRC

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    AgentGRC delivers continuous governance, risk, and compliance on AWS with autonomous agents monitoring IAM, Config, Security Hub, GuardDuty, Macie, and Inspector for drift, misconfigurations, and data exposure. Evidence is centralized in Amazon S3, indexed in DynamoDB, and surfaced through secure auditor portals. A unified mapping engine links AWS controls to SOC 2, ISO 27001, HIPAA, GDPR, PCI-DSS, NIST, and EU AI Act. AgentGRC also governs AI workloads on SageMaker and Bedrock, detecting drift, bias, and enforcing human-in-the-loop approvals. Built for multi-account AWS Organizations and Control Tower, it embeds compliance into CI/CD, reduces audit fatigue, and ensures enterprises remain continuously audit-ready while scaling AI and cloud workloads.

    Overview

    Overview:

    This solution is an AI-powered, multi-agent Governance, Risk, and Compliance (GRC) platform built natively for AWS, designed to automate and streamline compliance, risk management, and AI governance. It continuously monitors key AWS services (e.g., IAM, Config, GuardDuty, CloudWatch) for misconfigurations, anomalies, and drift, ensuring continuous regulatory compliance across a variety of frameworks like SOC 2, ISO 27001, HIPAA, and more.

    Key Features:

    1.** AI Governance & Compliance**: Autonomous agents monitor AWS services and AI models (SageMaker, Bedrock) for issues like drift, bias, and misconfigurations, offering real-time alerts and compliance insights. 2. Unified Regulatory Mapping: Links AWS evidence directly to multiple regulatory standards, enabling streamlined compliance with frameworks like GDPR, NIST, and PCI-DSS. 3.** Automated Evidence Collection:** Data is collected, indexed in DynamoDB, and visualized in Redshift/OpenSearch, ensuring real-time audit readiness. 4. Seamless AWS Integration: Works directly with AWS-native services (e.g., IAM, Lambda, Control Tower) and supports extensible workflows via Model Context Protocol (MCP). 5.** Specialized Agents:** Various agents (Oversight, Mapping, Evidence, and AI Governance) collaborate to ensure compliance, fairness, and risk mitigation.

    Use Cases:

    1. AI Governance: Enforce policies and monitor AI models for compliance, fairness, and drift across SageMaker and Bedrock.
    2. Compliance Automation: Automate compliance with regulatory frameworks across AWS Organizations.
    3. Audit Preparation: Provide auditors with secure, real-time access to evidence, reducing manual audit efforts. 4.** Third-party Governance:** Monitor vendor and third-party AI usage, ensuring data protection with Macie. 5.** CI/CD Integration**: Embed governance checks into DevOps pipelines to ensure compliance in every deployment.

    Target Users:

    1. CIOs & CTOs: Scale AI and cloud workloads while maintaining continuous compliance.
    2. Compliance & Risk Teams: Automate evidence collection and simplify audit processes. 3.** IT & Security Teams:** Enforce AWS-native guardrails and integrate governance into workflows. 4.** AI/ML Teams: **Ensure AI models are fair, explainable, and drift-free.
    3. Executives & Boards: Gain visibility into compliance and risk management via dashboards.
    4. Auditors & Regulators: Access real-time, validated evidence for audits.

    Benefits:

    1. Efficiency Gains: Reduces manual compliance and audit efforts by up to 70%.
    2. Continuous Readiness: Automated evidence collection and dashboards ensure audit readiness at all times.
    3. AI Oversight: Enhanced monitoring for AI fairness, bias detection, and model lineage.
    4. Cost Savings: Lowers the total cost of compliance with AWS-native automation and integrations.
    5. Trust Building: Builds trust with regulators and partners through proactive governance.

    Value Proposition: This solution helps businesses scale AI and cloud workloads with confidence by automating compliance and governance. With autonomous agents, unified regulatory mapping, and continuous audit readiness, it transforms governance from manual, periodic tasks into proactive, real-time assurance. Built specifically for AI and cloud workloads, it ensures seamless integration and oversight, enabling enterprises to reduce compliance risk and maintain regulatory trust at scale.

    Highlights

    • Continuous compliance with automated evidence collection, unified regulatory mapping, and real-time auditor portals.
    • AI governance for SageMaker and Bedrock with drift, bias, and lineage monitoring plus human-in-the-loop controls.
    • AWS-native integration with IAM, Config, Security Hub, GuardDuty, and Macie for seamless, cost-effective adoption.

    Details

    Delivery method

    Deployed on AWS

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