Google Cloud and Wiz announced a wide set of security advancements at the Next 26 event focused on addressing emerging risks in the AI era, where organizations are rapidly adopting artificial intelligence while simultaneously facing increasingly sophisticated cyber threats. According to Google Cloud leadership, including Francis deSouza, COO Google Cloud and President Security Products, attackers are already using AI to increase the speed, scale, and complexity of operations, with recent M Trends 2026 research showing a dramatic reduction in time between initial access and secondary threat activity from eight hours to just 22 seconds over the past three years. The announcements emphasize a shift toward machine speed defense, expanded protection for AI driven environments, and unified security across multicloud and enterprise systems.
A major focus of the updates is the introduction of agentic defense capabilities within Google Security Operations. Three new agents were highlighted, including a Threat Hunting agent designed to proactively identify novel attack behaviors, a Detection Engineering agent that can identify coverage gaps and automate creation of new detection rules, and a Third Party Context agent that enriches security workflows with external data sources. Alongside these, an enhanced Triage and Investigation agent has already processed over five million alerts in the past year, reducing manual analysis time from approximately 30 minutes to around 60 seconds using Gemini models. Organizations such as BBVA have reported operational improvements through reduced false positives and faster prioritization of security incidents, enabling analysts to focus on complex investigations while automated systems handle initial triage.
The announcement also detailed expanded protection for AI and cloud applications across different infrastructures, including Google Cloud, Amazon Web Services, Microsoft Azure, Oracle Cloud, and SaaS environments such as OpenAI. Wiz, now part of Google Cloud, has extended its capabilities to support AI application protection platforms that provide visibility into AI application risks, runtime analysis, and development lifecycle security. New integrations cover agent studios such as AWS Agentcore, Gemini Enterprise Agent Platform, Microsoft Azure Copilot Studio, and Salesforce Agentforce, alongside ecosystems like Google Cloud Apigee, Cloudflare AI Security for Apps, and Vercel. Wiz introduced additional capabilities aimed at securing AI generated code, including inline security hooks within IDEs, agent based remediation workflows, and dynamic AI Bill of Materials systems designed to identify shadow AI tools, frameworks, and plugins used across development environments. These measures aim to reduce risks from insecure AI generated outputs and unauthorized tooling within enterprise systems.
Further updates focused on securing agents and the broader agentic web through the Gemini Enterprise Agent Platform. New capabilities include Agent Identity for access management and governance, Agent Gateway for policy enforcement across agent to agent interactions, and Model Armor integration to protect against prompt injection, tool poisoning, and data leakage across runtime environments. Google Cloud also introduced Fraud Defense, evolving from reCAPTCHA, to detect and manage bots, humans, and AI agents across digital commerce journeys including account creation, login, and payments. Additional updates across Trusted Cloud include modernized identity and access management, enhanced data security with Confidential Computing support for NVIDIA and Intel powered workloads, post quantum cryptography capabilities, and expanded network protection through Cloud NGFW and Cloud Armor managed rules. Security Command Center enhancements now provide continuous discovery of AI workloads, unmanaged agents, and MCP servers across cloud environments, offering unified visibility into risks, vulnerabilities, and misconfigurations across enterprise AI systems.
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