SolidCore is the system of record for enterprise generative AI applications on AWS. It captures every prompt, response, model parameter, guardrail, data being accessed and other metadata from production LLM interactions to deliver complete visibility, governance, and auditability. <br><br>With real-time detection of misconfigurations, policy violations, and risky usage patterns, SolidCore helps teams identify blind spots across models, apps, and environments. Built for regulated industries, it automates evidence collection, supports compliance frameworks like NiST AI RMF, and provides a trustworthy foundation for safely scaling AI across the enterprise.
SolidCore is the system of record for enterprise generative AI applications on AWS, purpose-built to give organizations full visibility, control, and governance over how large language models are used across their business.
As companies accelerate AI adoption, they face growing regulatory pressure, unclear internal usage patterns, and a lack of centralized oversight. SolidCore solves this by capturing and storing every production LLM interaction-prompts, responses, model parameters, guardrails, data being accessed and other metadata-creating a complete, queryable audit trail of AI activity.
With this foundation in place, SolidCore enables enterprises to govern AI with confidence. The platform continuously monitors usage across teams, applications, and environments to detect misconfigurations, policy violations, unauthorized model usage, and anomalous behavior. Real-time alerts and automated workflows help teams rapidly investigate issues, enforce internal policies, and maintain guardrails without slowing down development velocity.
Compliance and audit readiness are built into the core of the product. SolidCore automatically generates the evidence required for regulatory frameworks such as NIST AI RMF, and emerging AI risk standards. By providing immutable logs, reproducible inference records, and fine-grained access controls, SolidCore reduces the burden on engineering, legal, and security teams while strengthening an organization's overall AI governance posture.
Designed for real-world production environments, SolidCore integrates cleanly with modern cloud infrastructure, including AWS. It works with any model in AWS Bedrock or Sagemaker. Developers get a lightweight integration that doesn't impact performance, while security and compliance teams gain a centralized source of truth that was previously impossible to achieve.
SolidCore leverages APIs to gather the data (no agents or proxies that can cause downtime or latency). The product is deployed via container application in the customer cloud VPC, so customer data stays in the customer's control. As a result, companies can innovate with generative AI as confidently as they build in the cloud, with systems that are observable, governable, and secure by design.
For organizations operating in regulated industries or those scaling AI across mission-critical workflows, SolidCore provides the trust layer they need to adopt generative AI responsibly. It brings clarity to complex systems, reduces operational and regulatory risk, and equips teams with the visibility required to innovate with confidence.
Highlights
SolidCore captures and stores prompts, responses, configuration data, and metadata from every GenAI interaction, creating a detailed, queryable audit trail. This gives organizations full transparency into how AI is being used across teams, tools, and environments.
SolidCore automatically detects misconfigurations, improper access, and risky patterns in real time, surfacing actionable issues and triggering resolution workflows. This enables teams to respond faster and reduce exposure.
SolidCore helps teams demonstrate alignment with evolving frameworks, such as NIST AI RMF, by continuously monitoring for compliance and generating audit-ready evidence. No spreadsheets, no fire drills.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract offers two pricing dimensions that work together. The Starter Pack gives you an initial unit-based bundle to begin using the service. The tokencharge dimension bills based on your consumption by tokens, so this portion scales with how much you use. Tokens measure the volume of AI interaction data processed. As your usage grows, your tokencharge units increase accordingly. You can combine both dimensions: the Starter Pack to get started and tokencharge to cover ongoing consumption.
Top-of-mind questions for buyers
What does one token count as for the tokencharge dimension?
A token measures the volume of AI interaction data the service processes. SolidCore captures prompts, responses, configuration data, and metadata from each generative AI interaction. Your tokencharge units reflect this processed volume. As interaction activity grows, your token count rises accordingly.
How do the Starter Pack and tokencharge dimensions combine on my bill?
Both dimensions bill independently and can appear together. The Starter Pack gives you an initial unit bundle to begin using the service. The tokencharge dimension meters ongoing consumption by tokens. For steady usage, tokencharge typically drives the larger share as processed interaction volume accumulates.
Does my cost change if generative AI usage across teams grows?
Yes. The tokencharge dimension scales with consumption. As more prompts, responses, and configuration data get processed, your token count increases and charges rise. The Starter Pack remains a fixed initial bundle. There is no in-line proxy or agent required, so integration itself does not add usage charges.
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