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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. How to safeguard AI workloads with Unity AI Gateway Guardrails

    Databricks has launched a beta version of its Unity AI Gateway Guardrails, designed to enhance the security and compliance of AI applications. These guardrails help prevent sensitive data leakage, protect against malicious prompts like jailbreaks, and ensure AI-generated content is safe and aligned with brand policies. The new features build upon existing capabilities by incorporating LLM-powered guardrails for improved performance and offering customizable options for specific organizational needs. AI

    How to safeguard AI workloads with Unity AI Gateway Guardrails

    IMPACT Enhances security and compliance for AI applications, helping organizations mitigate risks associated with sensitive data and unsafe outputs.

  2. What’s new in Unity AI Gateway: service policies, guardrails, observability, and cost controls for AI agents and MCPs

    Databricks has introduced new AI governance features within its Unity AI Gateway, focusing on cost controls and safety. The platform now offers proactive budget alerts at various granularities, including user, workspace, and organizational levels, to manage escalating AI expenses. Additionally, it incorporates LLM-based guardrails for enhanced AI safety and compliance, along with payload logging and service policies to govern agent behavior and tool invocation. AI

    What’s new in Unity AI Gateway: service policies, guardrails, observability, and cost controls for AI agents and MCPs

    IMPACT Enhances enterprise control over AI costs and safety, enabling more confident adoption of AI agents and models.