Palo Alto Networks and Tokyo-based AI, digital business and technology services firm NTT DATA have flagged a multi-year strategic alliance designed to help organizations securely adopt AI, update cybersecurity, simplify complex tech environments and build cyber resilience for the AI era.
Palo Alto Networks said the move – the first strategic alliance of this kind with a global systems integrator – which targets U$1 billion in joint business by the end of three years (2029), combines Palo Alto Networks AI-powered cybersecurity platforms with NTT DATA’s consulting, engineering and managed services.
“The alliance will help clients assess cyber risk, deploy AI securely and continuously optimize security. ” said Palo Alto Networks. “Through these joint solutions, clients will gain a unified approach that seamlessly spans cybersecurity strategy, implementation and managed services.”
Building on the companies’ Frontier AI collaboration, the alliance aims to bring together Palo Alto Networks Unit 42® threat intelligence with NTT DATA’s global cybersecurity, AI governance and managed services.
“AI is reshaping both business and cybersecurity, making deep ecosystem collaboration more important than ever,” said Nikesh Arora, Chairman and Chief Executive Officer, Palo Alto Networks. “Expanding our alliance with NTT DATA allows us to operationalize platformization at true global scale, helping enterprises eliminate legacy complexity and move fast without sacrificing safety.”
Palo Alto Networks said the alliance would address the most pressing cybersecurity challenges facing clients in highly regulated and critical industries, including financial services, healthcare, manufacturing and the public sector, across key strategic transformation areas including:
Autonomous Security Operations Center (SOC) – Modernize security operations with Agentic AI and managed services that help organizations detect, investigate and respond faster to increasingly sophisticated, machine-speed cyber threats while reducing operational complexity.
AI governance – Embed governance, security and risk management throughout the AI lifecycle, helping organizations manage emerging AI risks and confidently scale AI innovation with greater accountability, transparency and control.
Identity security – Protect human, machine and AI agent identities, including workloads and devices, through an Identity Security Framework designed to discover, manage, secure and govern identities across the enterprise.
Zero Trust & SASE – Helps secure users, applications and data across an increasingly complex attack surface through a unified Zero trust and secure edge architecture, leveraging AI-driven threat detection and prevention.
Resilient cloud – Enables organizations to improve visibility, compliance and autonomous risk reduction across multi-cloud environments with AI-enabled security posture management and stronger governance.
Firewall modernization – Modernize firewall environments to reduce complexity, improve visibility and strengthen enterprise security.
