Google Cloud Next 2026 made one thing clear: the cloud security industry is done pretending detection is enough.
The biggest announcements included:
- AI Agents: Google shipped three new AI agents for threat hunting, detection engineering, and third-party context enrichment.
- New Wiz Features: Wiz, now fully part of Google Cloud, launched agent-based remediation, an AI-Application Protection Platform, and an AI-Bill of Materials for tracking shadow AI.
- New Infrastructure: This included Agent Identity, Agent Gateway, and Model Armor, which lay the foundation for AI agent governance in enterprise environments.
Every announcement reinforced one clear message: the industry is moving from “finding” problems to “fixing” them, and that shift matters.
Here’s what happened, what it signals, and what CISOs should ask to see through the hype.
What Google and Wiz Announced
The security track at Next 2026 covered four areas, including detection and response, AI application protection, agent governance, and cloud platform security.
Agentic Defense in Security Operations
Google introduced three new AI agents in Google Security Operations.
- The Threat Hunting agent proactively surfaces attack patterns that bypass traditional defenses.
- The Detection Engineering agent identifies coverage gaps and generates new detections automatically.
- The Third-Party Context agent, coming soon, will enrich analyst workflows with external data.
The numbers behind the existing Triage and Investigation agent tell the story of where this is heading. Google reported it processed over 5 million alerts in the past year, compressing what used to be a 30-minute manual analysis into roughly 60 seconds.
Google also launched remote MCP server support for Security Operations (now GA), with an MCP server client available directly in the SecOps chat interface. On the intelligence side, dark web intelligence in Google Threat Intelligence entered preview, analyzing millions of daily external events with 98% accuracy to surface threats that matter. New partner-supported workflows from Darktrace, Gigamon, and SAP round out the SecOps ecosystem expansion.
Wiz Joins Google Cloud
Wiz, now fully part of Google Cloud, came in heavy. Its AI-Application Protection Platform (AI-APP), announced at RSA Conference, delivers risk posture and runtime analysis for AI applications across clouds and AI studios. Wiz Security Agents and Wiz Workflows add machine-speed identification and response for risks and threats. Tamnoon has been a Wiz integration partner since the WIN program launched and was recognized with Wiz’s inaugural WIN Partner Award for delivering managed remediation for Wiz findings across production environments.
So, how did Wiz expand multi-platform coverage? Some of the biggest announcements included:
- Wiz now supports Databricks alongside Agent Studios, including AWS Agentcore, Gemini Enterprise Agent Platform, Microsoft Azure Copilot Studio, and Salesforce Agentforce.
- New integrations with Google Cloud Apigee, Cloudflare AI Security for Apps, and Vercel extend the Wiz Security Graph further into the application layer.
- Wiz Defend detections also got tighter integration with Google Security Operations and Mandiant Threat Defense.
On the development side, four capabilities stood out:
- Wiz Skills puts the Wiz Security Graph into coding agents and AI-native IDEs, enabling agent-driven remediation at the code and repository level.
- Inline AI security hooks scan AI-generated code the moment it’s created, catching vulnerabilities before they’re committed.
- A new Lovable integration (GA in May) brings Wiz scanning directly into vibe-coded applications.
- The AI-Bill of Materials (AI-BOM) inventories every AI framework, model, and IDE extension across the environment to surface shadow AI.
Governing AI Agents
Google also rolled out controls for the agents themselves. These included:
- Agent Identity gives agents unique, scoped authentication for autonomous operation with human delegation.
- Agent Gateway enforces policy across agent-to-agent and agent-to-tool connections, inspecting MCP and A2A protocol traffic.
- Model Armor now integrates with Agent Gateway, Agent Runtime, Langchain (preview), and Firebase (GA) to block prompt injection, tool poisoning, and data leakage at runtime.
Beyond the enterprise, Google launched Google Cloud Fraud Defense (the evolution of reCAPTCHA), designed to distinguish between bots, humans, and AI agents across the digital commerce journey. Chrome Enterprise added AI-aware extension threat detections (preview) and shadow AI reporting (GA soon) to give security teams visibility into unsanctioned AI usage at the browser level.
Trusted Cloud Updates
The platform security layer got updates across identity, data, and networking. Google simplified predefined IAM roles with streamlined administrator, editor, and viewer permissions.
Confidential Computing expanded with G4 VMs featuring NVIDIA RTX PRO 6000 Blackwell GPUs (preview) and C4 Confidential VMs with Intel TDX on 6th Gen Xeon processors (preview) for sensitive AI workloads.
A new Confidential External Key Manager (cEKM) entered preview, alongside quantum-safe key imports for post-quantum readiness. Secret Manager’s native integration with Agent Development Kit went GA.
On the network side, Cloud NGFW is getting an advanced malware sandbox (preview later this year) powered by Palo Alto Networks Advanced WildFire. Cloud Armor added new managed rules powered by Thales Imperva for Layer 7 application attack detection.
Security Command Center expanded its Standard tier to include data security posture management, compliance, vulnerability management, and risk analysis at no additional cost, while adding continuous discovery and posture management for AI agents, models, and MCP servers.
Why This Matters
The volume of announcements is easy to get lost in. The signal underneath is more important.
Google, the largest cloud provider on earth, just made agentic cloud security a named category. Not a feature buried in a roadmap, but an entire product strategy with shipping code behind it. That changes the conversation for every CISO evaluating their security operations stack. Overnight, agentic security has become a baseline expectation in the cloud.
Wiz’s move into agent-based remediation is another important signal. For years, CNAPP vendors focused almost entirely on detection and visibility. Remediation was left to the customer. This shows safe remediation at scale is the focus now. Tamnoon’s own research confirms the urgency, with critical alerts still taking 128 days on average to remediate, even with modern CNAPPs in place.
But scope matters. Wiz Skills operates within the Wiz Security Graph, scoped to code-level and repository-level fixes. That’s valuable for dev-driven remediation workflows. Infrastructure-level agentic remediation across multi-CNAPP environments, with production safety controls and human validation before anything touches a live workload, is a different operational problem, something Tamnoon was uniquely built to handle.
The distinction comes down to how these layers interact. Detection platforms are getting better and better. Agent governance is getting formalized, agentic cloud security is becoming real, and the teams responsible for closing the gap between what gets found and what gets fixed still need a dedicated remediation layer that works across their entire stack, not just one vendor’s graph.
What CISOs Should Be Asking
The agentic security wave will bring a flood of vendor claims over the next 12 months. Every CNAPP, SIEM, and SOC platform will add “agentic” to their messaging.
Before committing budget, CISOs should pressure-test any CNAPP remediation or agentic remediation offering against a few baseline questions:
- Does it work across your full stack? Many organizations run more than one CNAPP. Some run three or four alongside cloud-native tools like AWS Security Hub or Azure Defender. If your remediation layer only operates within a single vendor’s graph, you’re solving part of the problem and manually stitching the rest.
- Does it assess safety before executing? Speed without safety is a liability. Any remediation that touches production infrastructure should include a safety assessment before execution. Not after. The question is whether the system can distinguish between a low-risk config change and a fix that could take down a revenue-generating workload.
- Is there human oversight? Fully autonomous remediation sounds efficient until it breaks something at 2 a.m. Agent-led, expert-supervised models keep the speed of AI while giving experienced engineers the final call on high-risk actions. Ask where the human is in the loop. The path from automation to trust in automated remediation is earned through demonstrated safety, not vendor promises.
- Does it fix root causes or close tickets? Silencing an alert and resolving the underlying misconfiguration are two different outcomes. If the same finding reappears next quarter, the remediation failed. Look for cloud security remediation that addresses root causes and prevents recurrence, not just alert closure velocity.
- Can you measure what changed? Agentic remediation should produce measurable outcomes, such as MTTR reduction, shrinking exposure windows, recurrence rates, and fix rates over time. If the vendor can’t show you a dashboard with those numbers, the automation is a black box.
The Remediation Question Isn’t Going Away
Google Cloud Next 2026 confirmed that detection is no longer the industry’s ceiling. It’s now the floor.
The world’s largest cloud provider is building agentic capabilities into its security stack, and Wiz is adding remediation to what was once a detection-first platform. The category has shifted.
But for CISOs running complex, multi-CNAPP environments with production workloads that can’t afford downtime, the question remains the same. It’s the same question it’s always been: who’s actually fixing the things your tools find, and can you prove it’s working?
Tamnoon customers are already answering that question. Agent-led, expert-supervised remediation across CNAPPs, with safety controls before anything touches production, and zero production incidents across millions of managed workloads.
Reduce your open exposures by up to 90% within 90 days, across every CNAPP in your stack, without adding headcount. Book a demo to see how agent-led, expert-supervised remediation works in your environment.
