Infrastructure de sécurité et de conformité native IA : évaluations, garde-fous, red teaming, passerelle et preuve d'audit inviolable. Propriété intellectuelle complète, SDKs et fournisseur Terraform.
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EvalGuard
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EvalGuard is a multi-tenant SaaS platform designed for teams working with artificial intelligence (AI) who need to evaluate, secure, govern, and ensure compliance for their large language models (LLM) and agent systems. It caters to the requirements of regulated industries such as banking, healthcare, legal, and government, which demand audit-readiness akin to any other critical system. The platform encompasses six core products: a comprehensive evaluation system with numerous scoring metrics and templates; an LLM firewall for prompt injection and safety detection; an AI gateway providing access to over 90 providers through a single API; red-teaming services with extensive adversarial probes; observability and financial operations tools; and a compliance and audit solution mapping multiple international jurisdictions with automated model cards and exportable audit packages.
The platform's strongest feature is its tamper-evident evidence ledger, which ensures compliance artifacts are securely managed and independently verifiable by auditors without relying on EvalGuard. This secure infrastructure is complemented by a substantial technical underbelly including various programming languages, SDKs, a Terraform provider, and comprehensive continuous integration frameworks.
EvalGuard's sale package includes domain and brand assets, a GitHub organization with SDKs under Apache 2.0, and existing customer base, ensuring a strong starting point for buyers interested in expanding AI governance and compliance capabilities. It presents significant growth opportunities, including completing SOC 2 certification, enhancing security measures, and expanding go-to-market strategies. The platform is considered ideal for AI infrastructure companies, security vendors, or technical founders looking to leverage a mature, ready-made codebase in the burgeoning field of AI governance and compliance.