Palo Alto Networks and NTT DATA Join Forces to Secure AI Transformation at Global Scale
Artificial intelligence is rapidly becoming part of the enterprise technology stack. Yet the same technology accelerating business transformation is also expanding the cybersecurity attack surface.
Organizations now face a difficult balancing act. They need to deploy AI quickly while controlling risks around data, identities, cloud infrastructure, autonomous AI agents and increasingly sophisticated cyber threats.
Against this backdrop, Palo Alto Networks and NTT DATA have announced a multi-year global strategic alliance focused on secure AI transformation.
The partnership combines Palo Alto Networks’ AI-powered cybersecurity platforms and Unit 42 threat intelligence with NTT DATA’s consulting, engineering and managed services capabilities. The companies aim to help enterprises assess cyber risk, deploy AI securely and continuously strengthen their security environments.
A Global Alliance Built Around Secure AI Transformation
The alliance represents Palo Alto Networks’ first strategic alliance of this nature with a global systems integrator.
The companies are targeting $1 billion in joint business by the end of three years, or 2029.
Rather than focusing solely on cybersecurity products, the partnership is designed to bring cybersecurity strategy, implementation and managed services together.
This approach reflects a growing enterprise requirement.
AI adoption can no longer be treated as a standalone technology initiative. Organizations must consider security and governance throughout the AI lifecycle.
The alliance therefore brings together Palo Alto Networks‘ cybersecurity technology with NTT DATA’s global consulting and delivery capabilities.
The companies will also collaborate on engineering and co-innovation while coordinating global delivery.
Why AI Adoption Is Creating a New Security Challenge
Enterprise AI introduces risks that traditional security architectures were not necessarily designed to manage.
AI applications can interact with sensitive information, cloud workloads, enterprise applications and users. Autonomous AI agents can also introduce new identities and permissions that organizations must discover, control and govern.
At the same time, attackers can use AI to increase the speed and sophistication of cyberattacks.
This creates a fundamental challenge for enterprises.
They must secure AI without slowing down the innovation that makes AI valuable.
The Palo Alto Networks-NTT DATA alliance is positioned around this intersection of AI adoption, cybersecurity modernization and cyber resilience.
Six Areas Targeted by the Partnership
The initial joint solutions will focus on highly regulated and critical industries, including financial services, healthcare, manufacturing and the public sector.
The companies have identified six strategic transformation areas.
1. Autonomous Security Operations
Security operations are increasingly dealing with threats that can move at machine speed.
The alliance will combine Agentic AI with managed services to help organizations detect, investigate and respond to threats faster.
The objective is to modernize Security Operations Centers while reducing operational complexity.
This could become particularly important as security teams struggle with increasing alert volumes and a shortage of specialized cybersecurity talent.
2. AI Governance
AI governance is emerging as a critical enterprise discipline.
Organizations need controls covering how AI systems are developed, deployed and used.
The alliance aims to integrate governance, security and risk management throughout the AI lifecycle.
This approach is intended to help enterprises scale AI while maintaining accountability, transparency and control.
For organizations operating in regulated sectors, this can become especially important as AI systems increasingly influence business decisions and customer interactions.
3. Identity Security for Humans, Machines and AI Agents
Identity security is becoming more complicated as enterprises introduce AI agents and increasingly autonomous workloads.
Traditional identity management has largely focused on human users and established machine identities.
The new environment adds AI agents to the equation.
The alliance will address human, machine and AI-agent identities through an Identity Security Framework designed to discover, manage, secure and govern identities across enterprise environments.
This reflects a broader shift in cybersecurity: identity is becoming a critical security boundary for AI-enabled enterprises.
4. Zero Trust and SASE
Enterprise users, applications and data are increasingly distributed across locations, devices and cloud environments.
The partnership will also focus on Zero Trust and Secure Access Service Edge (SASE) architectures.
AI-driven threat detection and prevention will form part of the approach.
The objective is to protect users, applications and data across an expanding attack surface while simplifying security architecture.
For organizations modernizing legacy networks, this could provide a pathway toward more integrated security and access controls.
5. Resilient Cloud
Multi-cloud environments can create visibility, compliance and security challenges.
The alliance will focus on improving cloud security posture management and enabling autonomous risk reduction across multi-cloud environments.
AI-enabled security capabilities are expected to play a role in identifying and addressing risks.
This is significant because enterprise AI itself is increasingly dependent on cloud infrastructure.
Securing AI therefore requires securing the cloud environments in which AI workloads, applications and data operate.
6. Firewall Modernization
Many enterprises continue to operate complex and fragmented firewall environments.
Firewall modernization will form another part of the alliance.
The goal is to reduce complexity, improve visibility and strengthen enterprise security.
For organizations with large legacy security estates, modernization can also provide an opportunity to consolidate security technologies and simplify management.
Unit 42 Adds Threat Intelligence to the Equation
The partnership also brings Palo Alto Networks’ Unit 42 threat intelligence capabilities into NTT DATA’s cybersecurity ecosystem.
This is important because secure AI transformation requires more than preventive controls.
Organizations also need visibility into emerging threats and the ability to adapt security strategies as the threat landscape changes.
Unit 42’s threat intelligence, combined with NTT DATA’s cybersecurity expertise and managed services, is intended to provide enterprises with a more integrated security approach.
The companies say the alliance will be supported by more than 2,000 Palo Alto Networks-certified professionals and dedicated Forward Deployed Engineers.
NTT DATA separately brings more than 7,500 cybersecurity professionals, over 70 delivery centers and more than 20 Autonomous Cyber Defense Centers to the collaboration.
Frontier AI Is Becoming an Enterprise Security Issue
The alliance builds on an existing collaboration between the two companies around Frontier AI.
The term refers broadly to increasingly advanced AI systems capable of performing sophisticated tasks and potentially operating with greater autonomy.
For enterprises, the implications extend beyond AI models themselves.
Organizations must consider who or what is authorized to access systems, what data AI can use, how AI decisions are governed and how anomalous activity is detected.
This makes AI security increasingly inseparable from broader enterprise cybersecurity.
From Security Products to Security Platforms
One of the more significant aspects of the announcement is its emphasis on platformization.
Enterprises frequently operate multiple security products from different vendors. Over time, this can produce fragmented visibility, overlapping technologies and complicated operational processes.
Palo Alto Networks is positioning the alliance around a more integrated security platform approach.
NTT DATA’s consulting and managed services capabilities could help organizations translate that platform approach into enterprise-wide deployments.
The potential benefit is not simply adding another security technology.
It is reducing complexity while connecting strategy, technology deployment and ongoing security operations.
Co-Innovation Could Accelerate Enterprise Deployments
The companies also plan to invest in joint engineering and co-innovation.
NTT DATA will receive early access to new platform features through direct engineering collaboration with Palo Alto Networks.
That arrangement could help NTT DATA develop services around emerging security capabilities more quickly.
For enterprise customers, the intended outcome is faster deployment and potentially shorter time-to-value.
This becomes particularly relevant as AI security technology evolves rapidly.
Enterprises cannot afford to design security architectures around capabilities that may become outdated before implementation is complete.
Regulated Industries Are Likely to Be a Major Test
The initial focus on financial services, healthcare, manufacturing and the public sector is significant.
These sectors often combine sensitive data, complex technology environments, stringent regulatory requirements and high consequences from security incidents.
AI adoption in such environments therefore requires stronger controls.
The alliance’s focus on governance, identity, Zero Trust, cloud security, security operations and firewall modernization addresses several of these requirements simultaneously.
The real test, however, will be execution.
A global alliance can provide technology, expertise and scale. Enterprises still need to integrate these capabilities into existing processes, architectures and governance frameworks.
What the Alliance Means for Enterprise IT Leaders
For CIOs, CISOs and technology leaders, the announcement points toward an increasingly integrated view of AI and cybersecurity.
AI should not be treated as an isolated innovation program with security added later.
Instead, security needs to be embedded into the AI transformation journey from the beginning.
That means organizations will increasingly need to ask:
- How are AI systems governed?
- Which human, machine and AI-agent identities can access enterprise resources?
- How are AI workloads secured across multi-cloud environments?
- Can security operations respond at AI-driven speeds?
- How much complexity exists in the current security architecture?
- Can the organization detect and respond to emerging AI-enabled threats?
- How resilient is the enterprise when security controls fail or attackers bypass them?
These questions extend beyond conventional cybersecurity.
They are becoming central to enterprise AI strategy.
The Bigger Shift: AI Security Becomes Business Infrastructure
The Palo Alto Networks and NTT DATA alliance arrives at a time when enterprises are moving from AI experimentation toward broader deployment.
That transition changes the security equation.
An AI pilot may involve a limited number of users and applications. Enterprise-scale AI can involve thousands of employees, multiple models, autonomous agents, sensitive data, cloud infrastructure and business-critical workflows.
Security consequently becomes part of the infrastructure required to scale AI.
The companies’ strategy reflects this reality by combining cybersecurity platforms, threat intelligence, consulting, engineering and managed services.
Secure AI Transformation Will Require More Than Technology
The partnership also highlights a broader lesson for enterprises.
AI security cannot be solved through technology alone.
Organizations need governance, skilled professionals, architecture modernization, continuous monitoring and clearly defined accountability.
They also need the ability to adapt as AI capabilities and threats evolve.
The combination of Palo Alto Networks’ cybersecurity platforms with NTT DATA’s global services footprint is designed to address several of these requirements simultaneously.
Whether the alliance reaches its ambitious $1 billion joint-business target by 2029 will depend on enterprise adoption and execution.
But the strategic direction is clear.
As AI becomes embedded into enterprise operations, secure AI transformation is becoming a core business requirement rather than a secondary cybersecurity consideration.
Conclusion
The Palo Alto Networks-NTT DATA alliance signals a shift in how large enterprises may approach AI security.
Instead of treating AI adoption, cybersecurity modernization and resilience as separate programs, the partnership seeks to connect them through a unified strategy.
Its focus on autonomous security operations, AI governance, identity security, Zero Trust and SASE, resilient cloud environments and firewall modernization addresses several of the most important security challenges created by modern enterprise technology.
The larger message is straightforward.
Enterprises cannot scale AI confidently without scaling security alongside it.
The next phase of AI transformation will therefore not be defined only by what organizations can build with AI.
It will also be defined by how securely, responsibly and resiliently they can deploy it.