Unblocking AI Deployment: How Wiz and Google SecOps Remove the Security Barrier

Everyone Wants AI in Production. Not Many Are Getting There.

Gartner claims that at least 50% of generative AI projects were abandoned after the proof of concept stage by the end of 2025. Some industry estimates put the figure at around 80% of AI pilots never make it to prod. MIT’s Project NANDA found that 95% of organisations deploying GenAI have seen zero measurable ROI.

These are not small companies running hobby projects. These are well funded enterprises with dedicated AI teams, executive sponsorship, and real budgets. So if the technology works (and we know it does) what’s actually stopping them?

In our experience working with large Australian enterprises, the answer is one of two things:

1. Ideas that don’t match the companies goals
2. security and governance

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The Blocker Is Not the Tech

It’s tempting to blame the models, or the data, or the hype cycle and claim that it is all smoke and mirrors. But the projects we see stalling are sound. They’ve built a working prototype or PoC, the business case is there, and the team is ready to ship. Then they hit the security review or governance committee.

The Cloud Security Alliance’s 2026 survey found that data exposure is the number one enterprise AI security concern. Grant Thornton’s research shows that senior leaders have low confidence in passing an independent AI governance audit. And multiple industry surveys in 2026 (Zenity, Credo.ai, etc) all point to: AI deployment velocity is significantly outstripping governance capability and it is killing AI projects.

This is compounded by shadow AI, creating compliance blind spots that make security teams even more nervous about sanctioning official AI deployments. The security team isn’t being obstructive. They’re being rational. They can see real risks that the organisation doesn’t yet have the tooling to manage, and definitely not manage at the speed of AI.

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Why Traditional Security Falls Short for AI Workloads

The problem is that AI workloads introduce attack surfaces that traditional security tools were never designed for. A standard SIEM and firewall setup can protect your VMs and your APIs. But AI adds entirely new things to worry about:

• Model inference endpoints exposed to the internet or internal consumers
• Vector databases containing embeddings of sensitive enterprise data
• Training data pipelines that could be poisoned to manipulate model behaviour
• Autonomous AI agents that call tools, access APIs, and take actions without human approval sometimes with the permissions that their owners have
• Prompt injection attacks that trick models into leaking data or executing unintended actions

These are not theoretical risks. They are documented, and actively exploited. And if your security team can’t see them, they can’t approve the deployment. The AI project stays in staging indefinitely.

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Enter Wiz: See the Entire AI Attack Surface

This is where Wiz changes the game. Wiz is a Cloud Native Application Protection Platform (CNAPP) and now part of Google that gives security teams complete visibility across all clouds and AI workloads without deploying agents into your environment.

What makes Wiz particularly relevant for unblocking AI is its AI Security Posture Management (AI-SPM) capability. It automatically discovers and inventories your AI assets: models, training data, inference endpoints, vector databases, and the identities that access them. It maps these into Wiz’s Security Graph, which visualises attack paths — the combination of vulnerabilities, misconfigurations, and excessive permissions that attackers chain together to attack your systems.

For organisations deploying autonomous AI agents, Wiz now includes agentic defence capabilities: monitoring agent identities, enforcing least-privilege guardrails, and preventing lateral movement across the cloud control plane. It also tracks your AI Bill of Materials (AI-BOM) and detects shadow AI usage that falls outside your governance framework.

The AI unlock is that Wiz gives the security team the visibility they need to say “yes” instead of “we don’t know what’s running, so no.”

→ Learn more about our Wiz deployment and remediation practice

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Next Step Google SecOps: Detect and Respond at Machine Speed

Visibility is half the equation. You also need to detect threats targeting your AI workloads and respond before they cause damage. That’s where Google SecOps (formerly Chronicle) comes in.

Google SecOps is a hyperscale SIEM and SOAR platform that ingests security telemetry at petabyte scale with fixed cost pricing, so you’re never forced to choose between visibility and budget. It’s enriched with Mandiant threat intelligence, giving your detection rules so you can map to what adversaries are actually doing in the wild.

For AI workloads, this means:

• Custom YARA-L detection rules tuned for AI-specific threats — unusual model API access patterns, data exfiltration from vector stores, anomalous agent behaviour
• Gemini-powered investigation — analysts can query security data in natural language, get AI generated case summaries, and accelerate triage
• Automated SOAR playbooks that contain threats without waiting for a human to wake up at 3am, much needed if we have AI attackers
• Threat Hunt agents that proactively search for indicators of compromise across your AI infrastructure

Where Wiz tells you “here’s what’s exposed and how an attacker could reach it,” SecOps tells you “here’s who is trying to reach it right now and here’s how we stopped them.”

→ Learn more about our Google SecOps implementation practice

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Better Together: The Governance Framework That Unblocks AI

The real power is in running Wiz and Google SecOps together. Combined, they form a continuous assurance framework a live, automated system that gives security teams, boards, and regulators ongoing confidence that AI workloads are protected.

Wiz provides the posture layer: continuous discovery, risk prioritisation, and automated remediation in code. Google SecOps provides the detection and response layer: real-time threat monitoring, AI assisted investigation, and automated response & containment.

Together, they flip the conversation from “we can’t deploy AI because we don’t understand the risk” to “we can deploy AI responsibly because we have continuous visibility and automated detection and response.”

This is what Gartner and the Cloud Security Alliance mean when they say that mature governance is the strongest predictor of AI readiness and business performance. The organisations that are successfully getting AI into production are the ones with the strongest security foundations.

At Aviato, we deploy both platforms as part of our Security practice and operate them through our Managed Agentic SOC, where autonomous AI investigation agents provide 24/7 threat detection without scaling headcount.

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Key Takeaways

1. AI is stalling because of security, not technology. Gartner data shows 50%+ of GenAI projects abandoned after POC, and security/governance gaps are a primary cause.
2. AI workloads create attack surfaces that traditional tools can’t see. Model endpoints, vector databases, training pipelines, and autonomous agents need purpose-built security tooling.
3. Wiz gives you the visibility to say “yes.” AI-SPM, Security Graph, and shadow AI detection let security teams understand and manage the AI attack surface.
4. Google SecOps gives you the detection to stay safe. Hyperscale SIEM, Mandiant intelligence, and automated SOAR playbooks protect AI workloads at machine speed.
5. Together, they form the governance framework that unblocks deployment. Continuous assurance replaces quarterly audits, giving boards and regulators the confidence to greenlight AI.

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Ready to Unblock Your AI Projects?

If your AI initiatives are stuck in staging because the security team can’t sign off, we should talk. Aviato deploys and operates Wiz and Google SecOps for enterprises across Australia, and we can help you build the governance framework that gets AI into production — safely.

• 🔍 Wiz Cloud & AI Security Practice
• ⚡ Google SecOps Implementation & Detection Engineering
• 🤖 Managed Agentic SOC
• 🛡️ Security Reviews & Audits
• 🧠 AI & Machine Learning Practice

Book a Free Consultation →