Google Cloud and Palo Alto Networks have expanded their relationship with a multiyear AI security partnership valued at nearly $10 billion, according to reporting that describes it as Google Cloud’s largest security services agreement.
The deal targets AI-driven cybersecurity for enterprises that run generative AI workloads across cloud infrastructure, where model and data risks keep rising.
A multiyear deal focused on AI-driven security
Reports say Palo Alto Networks will commit spending a sum approaching $10 billion on Google Cloud services over several years, though neither company has published a precise figure.
Palo Alto also plans to move significant internal workloads onto Google Cloud, which tightens operational integration between the two companies.
Deeper integration across cloud and security platforms
The expanded partnership aims to combine Google Cloud’s deep AI stack with Palo Alto Networks’ security platforms to protect cloud and AI environments more tightly.
Both companies frame the work around securing the AI lifecycle, including model development, deployment, and production operations, where attackers increasingly probe for weak spots.
Why this matters for enterprise buyers
Enterprises want security that works where AI runs, not as a separate layer added later. This partnership signals that cloud infrastructure providers and security vendors now treat AI security as core platform plumbing.
The scale also highlights how aggressively cloud providers compete for large, long-term commitments as customers consolidate AI workloads on fewer platforms.
Context: A partnership that started in 2018
Google Cloud and Palo Alto Networks have worked together since 2018 across cloud security integrations and joint go-to-market efforts. The new agreement expands that foundation with a larger commercial commitment and a stronger AI security focus.
What’s next
Expect more joint enterprise offerings and deeper product integrations tied to AI workloads, especially for customers that need stricter controls for data, identity, and model governance.
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