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Description

Acuvity stands out as the most all-encompassing AI security and governance platform tailored for both your workforce and applications. By employing DevSecOps, AI security can be integrated without necessitating code alterations, allowing developers to concentrate on advancing AI innovations. The incorporation of pluggable AI security ensures a thorough coverage, eliminating the reliance on outdated libraries or insufficient protection. Moreover, it helps in optimizing expenses by effectively utilizing GPUs exclusively for LLM models. With Acuvity, you gain complete visibility into all GenAI models, applications, plugins, and services that your teams are actively using and investigating. It provides detailed observability into all GenAI interactions through extensive logging and maintains an audit trail of inputs and outputs. As enterprises increasingly adopt AI, it becomes crucial to implement a tailored security framework capable of addressing novel AI risk vectors while adhering to forthcoming AI regulations. This approach empowers employees to harness AI capabilities with confidence, minimizing the risk of exposing sensitive information. Additionally, the legal department seeks assurance that there are no copyright or regulatory complications associated with AI-generated content usage, further enhancing the framework's integrity. Ultimately, Acuvity fosters a secure environment for innovation while ensuring compliance and safeguarding valuable assets.

Description

Openlayer is an AI governance, evaluation, and observability platform designed for teams building traditional machine learning, generative AI, RAG, and agentic systems. The platform helps organizations test, monitor, and improve AI applications from early experimentation through production deployment. Openlayer provides more than 100 automated tests that evaluate data quality, model performance, safety, reliability, fairness, and behavior across AI workflows. Its observability capabilities give teams traceability across prompts, retrieval steps, agents, tool calls, responses, and complex multi-step execution paths. Real-time guardrails help block or reduce risks such as prompt injections, PII leakage, bias, toxicity, hallucinations, and unsafe outputs. Openlayer also supports automated model evaluations so teams can continuously assess AI systems instead of relying only on manual review. For governance teams, the platform helps operationalize responsible AI requirements and align internal processes with frameworks such as NIST and the EU AI Act. Enterprises can use Openlayer to create safer AI development practices, maintain oversight, and document how models perform over time. By combining evaluation, observability, guardrails, governance automation, and workflow traceability, Openlayer helps companies deploy AI systems with more confidence and control.