Gencore AI for Amazon S3
Safely Unleash the Power of Your Amazon S3 Data with Any GenAI Model in Google Cloud
- Category
- Data
- Registry category
- Cybersecurity & ITIT Operations & Infrastructure
- Vendor
- Securitilisted as Securiti Inc
- Location
- Not disclosed
- Reviews
- This marketplace has no ratings
- Listed on
- Google Cloud Marketplace
- Pricing
- 2 plans listed
Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.
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Build Provenance
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Reach Provenance
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Data Provenance
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Compliance Provenance
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What the publisher says
Gencore AI enables businesses to easily and quickly build safe, enterprise-grade generative AI (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 Google Cloud such as Vertex AI, Gemini, and PaLM 2, including third-party models such as Anthropic, Claude, Meta Llama 2, Mistral etc.
Key capabilities include:
Show the rest of the publisher’s description (23 more lines)
- 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.
- 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.
Key Features:
- 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 AI operations through 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.
For Support please reach out to https://securiti.ai/contact-us/
How do you load your Amazon S3 data in minutes to build your GenAI pipeline?
- Select Amazon S3 as the Source.
- Select the data system, bucket, or other attribute for Amazon S3.
- Define the scope relevant to Amazon S3.
- Select optional conditions:
- Object Prefix: Enter a text or a regex prefix to match.
- Object Name: The object name based on a regular expression.
- Object Tags: The object name based on tags as a key:value pair.
- Object Extension Category: The object based on extension category.
- Object Extensions: Match the object based on the extension text.
- Object Size: Match the object based on size.
- Last Modified: Match the object based on when it was last updated.
- When ready, click Save and Continue to enter the Data Sanitizer stage.
For Support https://securiti.ai/contact-us/
Plans and pricing
paid
Linked repositories
Unknown
Unknown means this listing does not publish a repository. It is not a statement that the code is closed.
Publisher resources
- Securiti Inc (opens in a new tab)
- Support (opens in a new tab)
- Building Safe GenAI (opens in a new tab)
Sources
- Marketplace listingGoogle Cloud Marketplace (opens in a new tab)
- Company recordVendor website company data, matched on securiti.ai
- Official registersearch.gleif.org (opens in a new tab)
Reading the score
Disclosure · how many sources corroborate it
Evidence · what kind of evidence backs it
The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.
Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.
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