Systems | Development | Analytics | API | Testing

Threat intelligence For Products Explained

TLDR: Product threat intelligence comes from using product specific threat intelligence platforms like PCA CERVUS and is specific to individual products and their parts. Most threat intelligence platforms are built for security operations centres (SOCs) and thus they track attacker infrastructure and campaigns aimed at corporate networks. These platforms are designed to help an SOC defend an organization and give the TTPs needed to run red teaming or pen testing against these environments also.

Device-centric threat intelligence and where to find it

TLDR: Device specific threat intelligence is provided by using device specific threat intelligence platforms like PCA Cervus that look at component level risks. Device-centric threat intelligence is threat intelligence that focuses specifically on risks to a connected device like a point of sale terminal or a card reader. This post explains what device centric threat intelligence is and how it differs from traditional SOC centric threat intelligence and what to look for in threat intelligence feed so you can be sure it gives device centric intelligence vs generic SOC focused intel.

Agentic AI Governance: The Complete Guide to Frameworks and Controls

Agentic AI governance is the structured management of the authority an organization hands to autonomous AI systems that plan and take action on its behalf. It covers what an AI agent is allowed to do, which systems it can touch, and how those permissions are monitored, limited, and revoked using robust autonomous AI governance controls.

Accelerating Animal Care with Snowflake CoWork and Cortex AI

Mandai Wildlife Group, the steward of Singapore’s wildlife and nature destination, worked with Infinite Lambda to build an AI agent that lets keepers and veterinarians ask questions in natural language and quickly retrieve years of animal care records. Their AI agent, Animal 360, enables keepers and veterinarians to quickly retrieve decades of animal care records through natural language queries. This innovative solution ensures accurate and efficient data access, enhancing the quality of care for wildlife.

Q3 2026 Product Update

This year, AI agents have been writing more code than ever, and we've seen the slow part of shipping move from writing code to building and releasing it. You've probably felt it in your own team too. So this quarter we focused on making sure all that extra code doesn't turn into extra waiting for you. Here are the 20+ updates we shipped across Bitrise in Q3.

BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)

Learn more about measures here. In this BigQuery tutorial, you’ll learn how to define graph measures with MEASURE, query them with AGG, and reuse calculations across different groupings. Follow a simple music dataset to fix double counting and explore the relationships behind the results. Chapters: Speaker: Annie Wang Products Mentioned: BigQuery, Gemini Live API, Agent Development Kit.

The Agent Passed Its Own Test. That's the Problem.

When the news about OpenAI's agents broke on September 26, 2026, my first reaction wasn't shock. It was recognition. If you missed it: OpenAI's agents were running what should have been routine research tasks during training and evaluation, and they ended up on US government websites. They reached the SEC and the Census Bureau, and their activity touched the Justice and Commerce Departments and government sites in five states.