Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Gencore AI enables businesses to easily and quickly build safe, enterprise-grade generative artificial intelligence (GenAI) systems, copilots and AI agents. It accelerates GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.
You can utilize any foundation model available in Amazon Bedrock and Amazon SageMaker, including Amazon Titan, Anthropic Claude, Cohere, Meta Llama 2, AI21 Labs, Stability AI, and more.
Show the rest of the publisher’s description (9 more lines)
Organizations can use Gencore AI to quickly and easily build end-to-end safe AI systems, or to provide key building blocks of GenAI projects. Key capabilities include:
- Build Safe Enterprise AI Copilots
Create AI copilots and knowledge systems by combining data from multiple systems in minutes. Automatic enterprise controls, AI usage monitoring, and full provenance tracking ensure safety and transparency.
- Safely Sync Data to Vector Databases
Securely ingest and sync data at scale from various systems. Create custom embeddings with metadata for vector databases, preparing enterprise data for LLM usage.
- Curate and Sanitize Data for Model Training
Easily assemble, cleanse, and sanitize high-quality datasets for AI model training and tuning.
- Protect AI Interactions
The natural language conversation-aware LLM Firewall, protects user prompts, responses and data retrievals in AI systems. The LLM Firewall helps moderate AI interaction to align with enterprise policies, protect against sensitive data leaks, and prevent attacks like prompt injections and jailbreaking instructions.
Highlights
Highlighted by the publisher on AWS Marketplace.
Seamless Data Connectivity Across Your Enterprise: Safely ingest data through hundreds of native connectors while enabling diverse enterprise AI applications that leverage both unstructured and structured data across multiple environments - SaaS, on-premise, public and data clouds.
Inline Controls Across AI Pipeline: Protect data throughout AI operations via comprehensive security layers, including data sanitization before AI model consumption, LLM firewalls to ensure policy-compliant interactions, and continuous compliance monitoring (NIST AI RMF, EU AI Act etc.).
Complete AI System Provenance: Gain full visibility into the entire AI system, including data and AI usage -- down to the level of each file, individual user, and all AI models and usage endpoints.
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
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-cancellable and non-refundable except as required by law.
Sources
Publisher resources
2 linksLinked 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.