Written by: Josh Stroschein, Jae Young Kim The prevalence of obfuscation and multi-stage layering in today’s malware often forces analysts into tedious and manual debugging sessions. For instance, the primary challenge of analyzing pervasive commodity stealers like AgentTesla isn’t identifying the malware, but quickly cutting through the obfuscated delivery chain to get to the final […]
For those building with AI, most are in it to change the world — not twiddle their thumbs. So when inspiration strikes, the last thing anyone wants is to spend hours waiting for the latest AI models to download to their development environment. That’s why today we’re announcing a deeper partnership between Hugging Face and
Expanding support for AI developers on Hugging Face Read More »
Discover how leveraging an intelligent, community-driven knowledge layer is the key to grounding probabilistic tools, preventing AI hallucination, and validating high-quality code.
One thing enterprise AI projects need to succeed? Community. Read More »
While 90% of IT leaders indicate that the future of their end user computing (EUC) strategy is web-based, those same leaders admit that 50% of the applications their organizations rely on today are still legacy client-based apps.1 Similarly, IT leaders note that enabling end users to take advantage of AI on the endpoint is their
A flexible path to modern end-user computing with Cameyo by Google Read More »
The way we work is rapidly transforming, and AI is quickly becoming a connection point across workflows and tasks both big and small. Whether it’s saving time by converting automated meeting notes into a follow-up email to a client, or getting help with brainstorming your next big campaign idea, Generative AI, driven by models like
Bringing connected and AI-powered work experiences across our platforms and devices Read More »
For decades, SQL has been the universal language for data analysis, offering access to analytics on structured data. Large Language Models (LLMs) like Gemini now provide a path to get nuanced insights from unstructured data such as text, image and video. However, integrating LLMs into standard SQL flow requires data movement, at least some prompt
Announcing BigQuery-managed AI functions for better SQL Read More »
Identifying patterns and sequences within your data is crucial for gaining deeper insights. Whether you’re tracking user behavior, analyzing financial transactions, or monitoring sensor data, the ability to recognize specific sequences of events can unlock a wealth of information and actionable insights. Imagine you’re a marketer at an e-commerce company trying to identify your most
Do you detect a pattern? BigQuery’s new MATCH_RECOGNIZE function can! Read More »
When a major vulnerability makes headlines, CISOs want to know fast if their organization is impacted and prepared. Getting the correct answer is often a time-consuming and human-intensive process that can take days or weeks, leaving open a dangerous window of unknown exposure. To help close that gap, today we’re introducing the Emerging Threats Center
Introducing the Emerging Threats Center in Google Security Operations Read More »
Today, we’re excited to introduce Stack Overflow Internal—the next evolution of our enterprise platform and the future of Stack Overflow for Teams.
Embeddings are a crucial component at the intersection of data and AI. As data structures, they encode the inherent meaning of the data they represent, and their significance becomes apparent when they are compared to one another. Vector search is a technique that uncovers the relative meaning of those embeddings by evaluating the distances between
BigQuery under the hood: How Google brought embeddings to analytics Read More »
