Cloud Computing

Introducing BigQuery managed and SQL-native inference for open models

BigQuery provides access to a variety of LLMs for text and embedding generation, including Google’s Gemini models, Google-managed models from partners like Anthropic and Mistral. Using Gemini models and Google-managed partner models in BigQuery is simple — just create the model with the foundation model name and run inference directly in SQL queries. Today, we

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Closing the Door on Net-NTLMv1: Releasing Rainbow Tables to Accelerate Protocol Deprecation

Written by: Nic Losby Introduction Mandiant is publicly releasing a comprehensive dataset of Net-NTLMv1 rainbow tables to underscore the urgency of migrating away from this outdated protocol. Despite Net-NTLMv1 being deprecated and known to be insecure for over two decades—with cryptanalysis dating back to 1999—Mandiant consultants continue to identify its use in active environments. This

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Palo Alto Networks automates customer intelligence document creation with agentic design

For a global cybersecurity leader like Palo Alto Networks, a comprehensive understanding of each customer is critical for success. For every engagement the Palo Alto Networks pre-sales team has, the comprehensive understanding is centralized in an internal Document of Record (DOR), a vital asset that provides a 360-degree standardized view of the customer for sales

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Vibe querying: Write SQL queries faster with Comments to SQL in BigQuery

Crafting complex SQL queries can be challenging. Often, engineers simply want to express their data needs in plain English directly within their SQL workflow. Recently, we have seen how “vibe coding” — using natural language AI prompts to generate code — makes developing easier for everyone. That’s why we’re introducing Comments to SQL in BigQuery.

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