Google Cloud Security

It’s tomorrow! 🚨 Security teams are about to work alongside systems that respond on their behalf. Join @Spencer Lichtenstein at the Gartner Security & Risk Management Summit 2026 to explore how agentic AI is reshaping the SOC through autonomous detection, investigation, hunting, and prevention. Don’t miss it, register now: https://goo.gle/43444oU

Have you seen CodeMender secure applications? 💻 CodeMender is part of our launch of Google AI Threat Defense, an automated security platform designed to help you continuously monitor for and stop AI-powered threats before they can impact your business. The demo shows CodeMender scanning a local code repository, powered by an advanced AI security coding agent. The agent identifies potential vulnerabilities, builds Proof-of-Concepts to validate them, and then proposes effective code fixes presented as clear, reviewable diffs. This showcases how developers can easily secure their applications using CodeMender's command-line interface. Check out the CodeMender demo and learn more about AI Threat Defense in our blog post ➔ https://goo.gle/4wWLixj

Google AI Threat Defense fuses the reasoning power of Gemini and other frontier models, the contextual risk prioritization of Wiz, the code remediation capabilities of Gemini and CodeMender, and the frontline expertise of Mandiant (part of Google Cloud). Check out the Wiz details and demo in their blog post ⬇️

Less than a week to go! The future SOC will anticipate threats and address them autonomously. Join Google’s Spencer Lichtenstein at the Gartner Security & Risk Management Summit 2026 for a forward-looking conversation on agentic defense, AI, and how the next generation SOC will transform detection, investigation, hunting, and prevention. Save your spot today: https://goo.gle/4eag6Dm

Today we introduced Google AI Threat Defense, an always-on autonomous security platform designed to help you outpace the adversary. Jiong Liu, VP, Product Marketing, Wiz, explains how Google is delivering a practical framework that CISOs can put into place today with confidence. Learn more: https://goo.gle/49rhEq9

Realize the full potential of autonomous defense with Google AI Threat Defense. 🛡️ Francis deSouza, COO, Google Cloud and President, Security Products, explains how AI Threat Defense transforms vulnerability management across a four-step framework: 1️⃣ Prepare: Harden your foundation, and operationalize your framework for machine-speed prioritization and response. 2️⃣ Scan & Prioritize: Conduct deep-dive analysis and AI-driven posture validation. 3️⃣ Remediate: Implement a workflow to autonomously verify and accelerate the patching of vulnerabilities. 4️⃣ Monitor: Transition to continuous detection and rehearsed, active response playbooks. Learn more: https://goo.gle/4f6ryB5

Today, we are launching Google AI Threat Defense, an autonomous, continuous security platform that helps organizations outpace modern adversaries. Multi-AI by design, the solution fuses the reasoning power of Gemini with contextual risk prioritization, code remediation capabilities, and frontline expertise—helping build a Defender’s Advantage for the AI era. Read the full launch announcement from Francis deSouza, COO, Google Cloud and President, Security Products, to see how you can fight AI with AI: https://goo.gle/43yEI2C Learn more about how AI Threat Defense combats modern threats with the exact four-step framework Google uses.👇

Today we released the Wiz SDLC Security 2026 Report. The core takeaway: For application security, we need to shift our focus from tracking individual software vulnerabilities to managing systemic infrastructure risk. In a modern software development lifecycle, risk multiplies through inherited permissions, automated pipelines, and concentrated code reuse. Because many enterprises build on the same core open-source foundations, a single vulnerability can automatically replicate across thousands of environments. In an AI-driven pipeline, this compounding effect accelerates. Architectural flaws can duplicate and ship faster than traditional security guardrails can catch them. Security is an accelerator, but only if it's built in and not bolted on. To safely deploy agentic AI platforms and scale complex systems,  automated guardrails must be embedded directly into the developer workflow. Read the full breakdown here: https://lnkd.in/ep7tHHuK 

We're exactly 1 week away from the Google Cloud & TENEX.AI Agentic SOC Workshop! On June 2, we're bringing the cybersecurity community together in Kansas City for an interactive session focused on practical ways to modernize security operations with AI. This is a hands-on session built for teams looking to improve detection, reduce alert fatigue, and respond to threats more efficiently without simply scaling headcount. During the workshop, we’ll cover: 🤖 AI-driven approaches to modern SOC operations 📊 Strategies to streamline triage and improve analyst efficiency ⚡ Practical ways to operationalize AI in security workflows 🚩 A live Capture the Flag challenge to put concepts into action (with prizes for top performers) Whether you’re leading the SOC, deep in detections and response, or just trying to keep up with the pace of modern threats, this workshop is a chance to connect with others in the cybersecurity community facing the same challenges and walk away with practical ideas you can actually use. 📍 The Historic J. Rieger & Co. Whiskey Distillery | Kansas City 🗓 June 2 | 12:00 PM – 5:00 PM 🍴 Lunch + happy hour included Seats are limited. Register here: https://goo.gle/3PPE8u2

🤖 AI in healthcare and life sciences is no longer just a theoretical concept—it’s actively identifying drug targets and assisting in radiological diagnoses. But how can we prove it works safely and consistently? We’ve put together a 6-tier Risk-Autonomy Scale for GxP systems, mapping model complexity to the Google Cloud technical enablers that support continuous, risk-based verification. 📄 Swipe through the framework and visit the blog for the full breakdown: https://goo.gle/4dxCJBz