Data Modernization with Agentic AI
XenonStack · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Overview**
Data Modernization with Agentic AI utilizes AWS services and autonomous AI agents to transform data management and analytics. It simplifies modernization, fosters cross-team collaboration, and enables personalized, AI-driven insights through autonomous decision-making.
Show the rest of the publisher’s description (12 more lines)
**Product Features**
Key features include autonomous data integration, intelligent data transformation, a contextual analytics engine, and adaptive data governance—each enhancing automation, accuracy, and compliance across data workflows.
**Tools and Services Used**
The solution leverages a wide array of AWS services, including Amazon Bedrock, Lambda, S3, Glue, Redshift, QuickSight, Amazon Q, SageMaker, IAM, CloudWatch, CodePipeline, Step Functions, EventBridge, and DynamoDB to build a fully integrated, cloud-native data platform.
**Benefits**
It accelerates data modernization by streamlining migration and integration tasks, enhances data quality through automated validation and enrichment, and supports adaptive governance with automated compliance. The solution reduces costs, enables self-service analytics via natural language interfaces, and scales seamlessly with growing data needs.
**Potential Users**
This solution is ideal for data engineering teams, data analysts and scientists, business stakeholders, and compliance or security teams seeking to modernize and optimize data workflows.
**Use Cases**
Common use cases include adaptive data integration, intelligent governance, context-aware analytics, and self-service data operations driven by natural language and automation.
**Flow and Architecture**
The architecture follows a structured flow: data discovery and ingestion, processing, insight generation, governance enforcement, and orchestration—ensuring end-to-end modernization and control.
Highlights
Highlighted by the publisher on AWS Marketplace.
Automated agent-driven data discovery and profiling accelerates data integration processes
Self-learning agents transform and normalize data based on business context.
Autonomous agents enforce data policies and compliance requirements.
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.