GCP Releases
Google Cloud releases and Terraform Google provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 829 GCP releases · Updated
- Google Cloud Blog blogaisecuritygovernanceeolengineergovernmentenergy ·
Safely Integrate AI for Vulnerability Management
This blog post offers practical guidance from Mandiant Consulting on establishing operational guardrails for AI-assisted vulnerability management. It addresses the risks of deploying AI agents without mature integration processes, suggesting a hybrid approach combining AI with deterministic controls and human oversight. The recommendations are aimed at security teams looking to accelerate vulnerability discovery and remediation workflows while maintaining environmental integrity.
announcement - Google Cloud Blog blogdatagcpengineermedia ·
AlloyDB AI Functions enhance PostgreSQL multilingual full-text search
AlloyDB now integrates Gemini models directly into its database via AI Functions, enabling intelligent word segmentation for logographical languages like Chinese, Japanese, and Korean. This overcomes limitations of traditional tokenization and external preprocessing pipelines, offering more accurate full-text search without complex ETL. The solution is available now for AlloyDB customers and benefits database developers and architects working with multilingual data.
feature - Google Cloud Blog blogaigcppreviewengineermediagcp-bigquerygcp-looker ·
Analyze and Govern Gemini Enterprise App Usage with BigQuery
Google Cloud now allows administrators to analyze and govern Gemini Enterprise app usage at scale using BigQuery. This integration provides a more nuanced, organization-centric perspective beyond product-level dashboards, enabling teams to profile adoption, quantify value, execute compliance audits, and investigate safety alerts. Telemetry is partitioned into five distinct log tables in BigQuery, accessible via Cloud Logging sinks and an asynchronous batch export API, with Gemini in BigQuery simplifying AI-powered analysis.
feature announcement - Google Cloud Blog blogainetworkinggcpengineer ·
IDC Report: Networking Crucial for Agentic AI Production
An IDC report, sponsored by Google Cloud, highlights that infrastructure and networking are the primary bottlenecks preventing enterprises from moving agentic AI from pilot to production. Security, automation, and talent restrictions are key concerns, exacerbated by agentic AI's distributed nature. The report emphasizes that a foundational, infrastructure-level networking approach, balanced between platform and best-of-breed solutions, is essential for operational control, consistent policy enforcement, and end-to-end trust in agentic AI deployments.
announcement - Google Cloud Blog blogaigcpengineermediaenergy ·
Google's approach to shipping AI apps safely in production
Google is addressing the high failure rate of AI prototypes in enterprise environments by introducing a new AI prototyping stack. This stack decouples experimentation from production systems, allowing rapid iteration and validation without risking stability. Engineers are shifting focus from code quality to architecting safe testing environments, enabling faster delivery of AI features.
announcement - Google Cloud Blog blogsecuritygcpengineerfinanceretailmediagovernmentgcp-cloud-rungcp-cloud-storagegcp-compute-enginegcp-cloud-functions ·
Securing Serverless Applications Against Common Attacks on GCP
Mandiant highlights risks of publicly exposed serverless applications on Google Cloud, such as Cloud Run, lacking authentication. Exploiting vulnerabilities like LFI and command injection can lead to full cloud environment compromise, a growing concern with increased AI usage. This post details attack scenarios and provides hardening guidance, applicable to any public serverless deployment, emphasizing secure secrets management and least privilege principles for service accounts.
announcement security - Google Cloud Blog blogaigcpgaarchitectgovernment ·
Google recognized as Leader in Foundation Model Software by IDC MarketScape
Google has been named a Leader in the IDC MarketScape: Worldwide Foundation Model Software 2026 Vendor Assessment. This recognition highlights Google's focus on building secure, production-grade AI systems and its integrated, first-party AI stack. The announcement also introduces Gemini Enterprise, an end-to-end system for orchestrating AI agents, and mentions the Gemini 3.5 Flash model for complex tasks, available today for business users and developers.
announcement - Google Cloud Blog blogaigcpengineerhealthcarefinancemediagovernmentgcp-cloud-rungcp-gkegcp-vertex-ai ·
Claude on Google Cloud for Enterprise Production AI
Google Cloud now offers Claude, a frontier AI model, for enterprise production, providing managed infrastructure, global reach, and compliance features. This integration aims to simplify AI deployment by allowing teams to use Claude like any other Google Cloud service, leveraging existing IAM and observability tools. The offering includes managed infrastructure, global and regional endpoints for low latency and data sovereignty, and optimizations for cost and performance.
feature announcement - Google Cloud Blog blogsecuritygcpengineer ·
ADFS signing key recovery via Machine DPAPI, bypassing MFA
Mandiant discovered a vulnerability where manually rotated Active Directory Federation Services (ADFS) signing keys can be exposed in Machine DPAPI, allowing attackers to forge SAML tokens. This 'ghost certificate' issue arises when AutoCertificateRollover is disabled and the WID database isn't updated after manual certificate rotation. The technique bypasses traditional defenses like LSASS monitoring and MFA, granting unauthorized access to federated applications.
security announcement - Google Cloud Blog bloggcpgapreviewengineermediagcp-gkegcp-cloud-storagegcp-dataflowgcp-compute-engine ·
Google Cloud C4N instances achieve GA for optimized network and storage I/O
Google Cloud's C4N Compute Engine instances are now generally available, offering enhanced network and block storage performance for demanding enterprise workloads. These instances are purpose-built to eliminate I/O bottlenecks, providing up to 400 Gbps of network bandwidth and 25 GiB/s of storage throughput. This makes them ideal for network-intensive applications, large-scale databases, and AI/ML inference, delivering significant total cost of ownership (TCO) benefits.
feature patch - Google Cloud Blog blogaigcpengineerfinanceenergygcp-gke ·
Google Cloud Recognized as Leader in Gartner AI Infrastructure Magic Quadrant
Google Cloud has been named a Leader in the inaugural Gartner Magic Quadrant for AI Infrastructure, highlighting its 'Ability to Execute' and 'Completeness of Vision'. This recognition underscores Google's advancements in AI infrastructure, including custom TPUs, partnerships with NVIDIA, and integrated solutions like AI Hypercomputer. The announcement is particularly relevant for enterprises and capital markets firms leveraging AI for agentic workloads, aiming for improved performance, cost efficiency, and scalability.
announcement - Google Cloud Blog blogaisecurityawsazurepreviewengineermediagovernment ·
Google's Gemini Startup Forum Selects 33 Cybersecurity Startups
Google has launched its Gemini Startup Forum, selecting 33 cybersecurity startups focused on AI integration. This program aims to foster innovation by providing these companies with access to Google's AI and cybersecurity experts. The selected startups will work on solutions across six specialized areas, including AI agent security, application security, cloud security, endpoint security, and SOC automation. The initiative highlights Google's commitment to advancing AI-native cybersecurity solutions.
announcement feature - Google Cloud Blog blognetworkinggcpgaengineer ·
GCP Cloud Router BGP route policies: Top 3 customer use cases
Google Cloud has highlighted three key customer use cases for its Cloud Router BGP route policies, emphasizing enhanced network control and simplified configurations. The introduction of policy named sets allows for grouping prefixes and communities, simplifying management of complex routing rules. These features are now generally available and recommended for optimizing hybrid cloud connectivity, with a suggestion to test in staging environments first.
feature - Google Cloud Blog blogaigcpgapreviewengineergcp-bigquerygcp-cloud-run ·
Google Cloud Accelerate AI with Cloud Run Roadshow 2026
Google Cloud is relaunching its "Accelerate AI with Cloud Run" roadshow for 2026, focusing on productionizing and scaling AI agent workloads on its serverless platform. The updated curriculum offers hands-on experience with building and scaling AI agents, from basic web app deployments to complex assistants using tools like ADK, RAG, Gemma 4, and Antigravity 2.0. This initiative targets engineers and architects looking to move beyond AI prototypes to production-grade applications, with workshops scheduled across North America.
announcement - Google Cloud Blog blogaigcpengineermediagcp-cloud-storagegcp-pubsubgcp-firestore ·
Guide to publishing AI agents in Gemini Enterprise and Google Cloud Marketplace
Google Cloud is providing a guide for developers to publish AI agents through Google Cloud Marketplace and deploy them to the Gemini Enterprise app. This process involves designing agent architecture for integration, meeting organizational and agent-specific mandates, and adhering to technical requirements like the Agent2Agent (A2A) protocol. Developers will need to create an Agent Card, a JSON file detailing agent capabilities and authentication methods, to enable interoperability and commercialization of their AI services.
announcement - Google Cloud Blog blogaiinfragcpengineerfinanceretailenergygcp-gke ·
Report: Agentic AI requires significant infrastructure upgrades
A recent survey of 1,400 IT leaders reveals that 83% of organizations need infrastructure upgrades to support agentic AI, which places new demands on compute, storage, and networking. The report highlights challenges like the "inference tax," agent sprawl, and data fragmentation, and discusses solutions including fluid compute, centralized governance, unified data layers, and edge deployments. These insights emphasize the need for modernized, AI-optimized infrastructure to overcome operational and economic barriers.
announcement - Google Cloud Blog blogsecuritygcpengineergovernment ·
Google Cloud integrates Threat Intelligence with Wiz ASM for proactive security
Google Cloud is integrating Google Threat Intelligence with Wiz Attack Surface Management (ASM) to help organizations proactively prioritize security defenses. This integration correlates real-world exposures with real-time adversary activity, enabling faster detection and prioritization of exploitable issues and logic-driven vulnerabilities. The combined approach aims to shift security strategies from reactive maintenance to proactive risk management by highlighting actively targeted exposures. Contact your Google sales representative to get started.
feature announcement - Google Cloud Blog blogaigcpengineermedia ·
Google Agent Platform: Build, Scale, and Govern Enterprise AI Agents
Google Cloud has launched Gemini Enterprise Agent Platform, a unified solution for building, scaling, and governing AI agents within an organization. The platform aims to simplify the complex engineering reality of agent deployment by handling underlying complexities, allowing technical teams to focus on business value. It supports various user personas from no-code business experts to high-code engineers and offers specific tools for different development needs, addressing questions about agent development, data connectivity, and interoperability.
feature announcement - Google Cloud Blog blogaigcpgapreviewengineerfinanceretaileducationenergygcp-spanner ·
Google Cloud's AlphaEvolve for algorithmic optimization is now GA
Google Cloud's AlphaEvolve, an AI-powered agent for optimizing algorithms, has moved from private preview to general availability on the Gemini Enterprise Agent Platform. This tool helps developers tackle complex optimization problems by systematically exploring vast search spaces that are intractable with traditional methods. It is designed for engineers and architects working on challenges in areas like microchip design, logistics, and AI model training, offering a structured four-step process from problem definition to production deployment.
feature announcement - Google Cloud Blog blogaigcpengineereducation ·
Google Cloud introduces new method to evaluate AI agent context understanding
Google Cloud's frontier AI team has developed a novel evaluation framework called Discovery Bench to assess AI agents' ability to answer questions based on provided context. This approach moves beyond simple pass/fail benchmarks to provide a granular map of an agent's capabilities, revealing specific failure points and optimal performance conditions. The framework utilizes 'surprisal' from information theory to systematically modulate query difficulty, offering deeper insights for engineering improvements. This method is particularly beneficial for data discovery tasks where vague user queries are common and agent performance can degrade sharply.
announcement
About GCP release tracking on ReleaseBytes
Google Cloud publishes release notes per product — BigQuery, GKE, Cloud Run, Cloud SQL, Vertex AI and dozens more — which makes platform-wide awareness hard. ReleaseBytes aggregates the official GCP release notes and the Terraform Google provider changelog into a single feed, with a plain-English summary of each update and tags for breaking changes, deprecations and security fixes.
Frequently asked questions
How often are GCP release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official GCP release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of GCP changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new GCP releases? ›
Set up a free email or Slack alert filtered to GCP, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the GCP release data come from? ›
From the official sources: Google Cloud releases and Terraform Google provider. Every item links back to the original vendor announcement.