
Governance platform for LLM-based apps with visibility and compliance monitoring
Checked October 2026.
SolidCore is a governance platform designed for organizations deploying first-party generative AI applications. The platform provides visibility and control over LLM usage by capturing and storing prompts, responses, configuration data, and metadata from every GenAI interaction through lightweight API integration at the inference layer.
The platform creates an immutable system of record for all production inference activity without requiring in-line proxies, SDKs, or agents. It monitors for misconfigurations, access violations, and risky usage patterns to enable detection, alerting, and resolution workflows.
SolidCore supports compliance monitoring aligned with frameworks including NIST AI RMF, ISO 42001, and the EU AI Act. The platform generates audit-ready records and provides remediation recommendations based on these standards. It offers organization-wide observability across teams, tools, and environments.
The platform includes a free discovery tool called AI Scout for identifying shadow AI and understanding risk across AWS infrastructure. SolidCore supports all LLMs available on AWS Bedrock and Azure AI Services, providing coverage for multi-cloud generative AI deployments.
Target users include security teams, compliance leads, legal counsel, and ML platform owners who need to manage AI risk while maintaining development velocity.
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Common questions about SolidCore: features, pricing and alternatives.
SolidCore is a product by Solidcore.ai in the AI Governance category. It covers AWS and Azure.
SolidCore is a commercial product. For pricing, visit https://solidcore.ai/ or contact Solidcore.ai.
Alternatives to SolidCore listed on CybersecTools:
Compare all SolidCore alternatives at https://cybersectools.com/alternatives/solidcore
SolidCore is available as a cloud service. It is listed for small businesses, mid-market companies and enterprises. Pricing is commercial. Ask Solidcore.ai for pricing and support terms.
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