Palo Alto Networks and NTT DATA target $1B in AI security sales by 2029
The business move
Palo Alto Networks and NTT DATA have signed a multiyear global alliance with a clear sales target of $1 billion by the end of 2029. This is the first time Palo Alto Networks has struck a deal with a global systems integrator at this scale. The partnership aims to embed Palo Alto Networks’ security platforms across NTT DATA’s extensive infrastructure services and customer base worldwide.
Why it matters
The deal signals a major push to make AI-driven cybersecurity a standard part of large-scale IT operations. By teaming up with NTT DATA, Palo Alto Networks gains privileged access to a network of enterprise customers who manage complex environments that increasingly rely on AI tools. This alliance accelerates the deployment of automated threat detection and response systems, pressing the market for more integrated, AI-powered security solutions. For enterprises, it raises expectations for tighter protection tailored to the AI era’s evolving attack methods.
Who gains and who gets squeezed
Palo Alto Networks stands to deepen its foothold in the AI security market and boost recurring revenue through managed services delivered via NTT DATA. NTT DATA benefits by enhancing its security portfolio with advanced AI capabilities, helping it win larger contracts in regulated industries. Competitors in AI and cloud security may see greater pressure as the alliance promotes turnkey, AI-embedded security at scale, forcing smaller vendors and less integrated players to compete on innovation and cost-efficiency.
What to watch next
Watch how this alliance influences AI security adoption within global enterprises and how quickly NTT DATA rolls out Palo Alto Networks’ platforms. The $1 billion sales goal sets a pace that will test the partners’ ability to integrate AI threat detection with varied legacy systems. The deal could pressure other systems integrators to form similar alliances or strengthen their in-house AI security offerings to avoid losing market share.
AI Quick Briefs Editorial Desk