Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Key Features**
- AI-powered, multi-agent Governance, Risk, and Compliance (GRC) orchestration platform built natively for AWS.
- Autonomous agents continuously monitor IAM, Config, GuardDuty, Security Hub, Macie, Inspector, CloudWatch, and CloudTrail for drift, anomalies, and misconfigurations.
- Unified regulatory mapping links AWS evidence to SOC 2, ISO 27001, HIPAA, GDPR, PCI-DSS, NIST, and EU AI Act — enabling “implement once, satisfy many.”
- AI governance layer oversees SageMaker and Bedrock models for drift, bias, fairness, and lineage, with human-in-the-loop approvals for high-risk deployments.
- Automated evidence collection centralized in Amazon S3, indexed with DynamoDB, and visualized in Redshift/OpenSearch dashboards.
- Seamless integration with AWS-native services: IAM, Organizations, Control Tower, KMS, Lambda, Step Functions, and EventBridge.
Show the rest of the publisher’s description (28 more lines)
**Use Cases**
- Enforce AI usage policies across SageMaker and Bedrock aligned with internal and regulatory standards.
- Monitor AI models for drift, bias, and anomalies, triggering alerts in CloudWatch and dashboards in real time.
- Automate compliance across AWS Organizations with unified mapping to multiple frameworks.
- Govern vendor and third-party AI usage via API Gateway and Lambda with Macie-driven data protection.
- Provide auditors with secure, real-time evidence portals and APIs, eliminating compliance crunch periods.
- Embed governance checks into CI/CD pipelines to ensure every deployment remains compliant.
**Target Users**
- CIOs & CTOs – scale AI and cloud workloads with confidence under continuous compliance.
- Compliance & Risk Teams – automate evidence collection and streamline audit cycles.
- IT & Security Teams – enforce AWS-native guardrails and integrate governance into DevOps workflows.
- AI/ML Teams – monitor SageMaker and Bedrock models for fairness, drift, and explainability.
- Executives & Boards – gain risk transparency and build regulatory trust with dashboards.
- Auditors & Regulators – access continuously updated, validated evidence via secure portals.
**Benefits**
- Reduces manual compliance and audit preparation effort by up to 70%.
- Provides continuous audit readiness with automated evidence lakes and dashboards.
- Strengthens AI oversight with fairness monitoring, bias detection, and lineage tracking.
- Improves compliance posture with real-time visibility across AWS accounts and workloads.
- Lowers total cost of compliance through AWS-native automation and integration.
- Builds trust with regulators, customers, and partners via proactive governance.
**Value Proposition **
- Scale compliance and AI governance without adding operational overhead.
- Autonomous oversight agents, unified regulatory mapping, and audit-ready automation embedded directly into AWS environments.
- Transform governance from periodic, manual reporting into proactive, intelligent, and continuous assurance.
- Purpose-built for AI and cloud workloads with SageMaker and Bedrock oversight, AWS-native alignment, and extensible orchestration.
- Help enterprises accelerate AI adoption, reduce compliance risk, and maintain regulatory trust at scale.
- Unlock resilience, transparency, and confidence in enterprise cloud operations
Highlights
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.