Showing only posts tagged AI & Machine Learning. Show all posts.

Cloud CISO Perspectives: Why AI Threat Defense is the new boardroom baseline

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Welcome to the second Cloud CISO Perspectives for July 2026. Today, Chris Betz, CISO, Google Cloud, and Alicja Cade, Senior Director, Office of the CISO, Google Cloud, explain what boards of directors need to know about AI security and how to prepare their organizations for security governance and business …

Best Buy scales AI workloads and secures access with Workforce Identity Federation

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As Best Buy expanded its use of Google Cloud for advanced analytics and AI, its technology teams faced two significant scaling challenges: Mitigating risk and managing administrative friction when syncing thousands of backend users from Microsoft Entra ID. The retailer solved both problems and paved the way for a …

Now in preview: Find and fix software vulnerabilities with CodeMender

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As adversarial AI threats accelerate attacks on code, security teams must counter them with machine-speed defenses that can automate code remediation and fight AI with AI. CodeMender is our managed code security agent, and starting today, we're bringing its code scanning and remediation capabilities directly to you in preview …

Cloud CISO Perspectives: How AI leverages deep context as the defender’s advantage

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Welcome to the first Cloud CISO Perspectives for July 2026. Today, Francis deSouza, COO, Google Cloud and President, Security Products, explains the crucial role that deep context plays in creating an AI advantage for defenders. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to …

Securing the AI supply chain on GKE: Introducing k8s-aibom for automated AI BOMs

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How should your security team manage shadow AI? Workloads deployed by developers without formal registration can often evade traditional security scanners, because organizations are reluctant to slow down development and compromise stability by demanding privileged Daemonsets, kernel-level access, and manual pod-spec edits. To break this deadlock, today we are …

Drive proactive security, prioritize risks with Google Threat Intelligence and Wiz ASM

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Being more proactive continues to be a leading goal for security organizations. As AI accelerates the pace of vulnerability discovery and exploitation, organizations will rely on the personalization of their security investments to help prioritize their defenses. To help you be more proactive by matching your real-world exposures with …

Shift into high gear with agents: Securing the software-defined vehicle

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The automotive industry is at a pivotal crossroads as it hits the gas on adopting new technology. The era of the traditional connected vehicle has shifted into the age of the software-defined vehicle (SDV), notable for rapid innovation with many new capabilities delivered over the air. By integrating AI …

Cloud CISO Perspectives: How Google Cloud Security uses AI internally

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Welcome to the second Cloud CISO Perspectives for June 2026. Today, we’re discussing how we use AI to chart a path to autonomous software development lifecycle security. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re …

Securing agentic AI with perimeter guardrails: What's new in VPC Service Controls

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As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it’s essential to establish clear network-level boundaries for comprehensive data protection. To help organizations confidently deploy these workflows, we recommend VPC Service Controls (VPC-SC) to …

Verifiable, private AI: Google Cloud expands Confidential Computing frontiers

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Protecting sensitive data used with AI is a critical part of our commitment to providing advanced and secure cloud infrastructure. Confidential Computing cryptographically protects data in use in hardware-based Trusted Execution Environments (TEEs) with verifiable data integrity. We are thrilled to share our latest Confidential Computing innovations across our …

From AI potential to agentic reality: Driving the UK’s next chapter

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The United Kingdom, and London in particular, continues to be one of the great hubs for AI development in Europe and the world. We’re home to Google DeepMind, of course, as well as significant AI unicorns — and Google Cloud customers — like Ineffable Intelligence, which is today announcing an …

Detecting and containing AI-powered threats with Google Security Operations agents

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To defend against the growing range of AI-accelerated threat actors, organizations need to be able to respond faster to outpace the adversary. Recently, we announced Google AI Threat Defense, an automated security system designed to help you continuously monitor for and stop AI-powered threats before they can impact your …

Cloud CISO Perspectives: How to build an AI-ready security program for the public sector

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Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO, Google Public Sector, offers a guide for CISOs protecting government agencies and critical infrastructure on how to get started — and get the most out of — defending with AI. As with all Cloud CISO Perspectives …

Introducing Google AI Threat Defense to help you outpace the adversary

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aside_block ), ('btn_text', ''), ('href', ''), ('image', None)])]> AI-powered cyber threats have been receiving a lot of attention lately. AI has changed the threat landscape ; cybercriminals are using it to find security cracks faster than cybersecurity teams can manually fix them. Attacks that used to take weeks to carry out can now …

Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs

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Welcome to the first Cloud CISO Perspectives for May 2026. Today, Vinod D’Souza, director, Office of the CISO, shares highlights from his RSA Conference fireside chat with Anthony Belfiore, chief strategy officer, Wiz. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the …

Beyond source code: The files AI coding agents trust — and attackers exploit

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As AI coding agents become deeply embedded in developer workflows, defenders must evolve their definition of malicious files and rethink how to protect against them. Autonomous AI agents operate across integrated development environments (IDEs), editors, terminals, and extension runtimes, and they often have access to local files, command execution …

Introducing Agent Gateway ISV ecosystem for security and governance

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Managing agents and their actions can quickly grow in complexity and introduce security risks unique to AI. To address these challenges, at Google Cloud Next we announced Agent Gateway to provide simple, secure, and governed connectivity across all user-to-agent, agent-to-agent, and agent-to-tools interactions. As part of Gemini Enterprise Agent …

Cloud CISO Perspectives: At Next ‘26, why we’re multicloud and multi-AI

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Welcome to the second Cloud CISO Perspectives for April 2026. Today, Francis deSouza, COO Google Cloud and President, Security Products, explains why Google is multicloud and multi-AI, straight from Next ‘26. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog …

Next ‘26: Redefining security for the AI era with Google Cloud and Wiz

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aside_block ), ('btn_text', ''), ('href', ''), ('image', None)])]> The AI era demands a new security era. Organizations are facing the dual challenge of harnessing the potential of AI while defending against its malicious use, and Google Cloud can help you adapt and thrive. The latest research from Google Cloud shows that adversaries …

Raising the security baseline: Essential AI and cloud security now on by default

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The rapid evolution of AI is redefining industries, while also exposing organizations to new risks. At Google Cloud, we believe that modern cloud defense should have AI protection built in and accessible by default, delivering native guardrails and controls that are essential to ensuring that security strengthens your AI …

Guardrails at the gateway: Securing AI inference on GKE with Model Armor

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Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren't designed …

How to build production-ready AI agents with Google-managed MCP servers

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As ​​developers build AI agents with more sophisticated reasoning systems, they require higher-quality fuel–in the form of enterprise data and specialized tools–to drive real business value. To get the most out of that octane-rich mix, we offer Google-managed model context protocol (MCP) servers: an engine purpose-built for …

Cloud CISO Perspectives: Practical guidance on building with SAIF

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Welcome to the first Cloud CISO Perspectives for January 2026. Today, Tom Curry and Anton Chuvakin, from Google Cloud’s Office of the CISO, share our new report on using Google’s Secure AI Framework with Google Cloud capabilities and services to build boldly and responsibly with AI. As …

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