As operational technology (OT) environments turn into increasingly connected, critical infrastructure sectors like energy, manufacturing, and transportation face escalating cyber threats. Traditional security approaches are struggling to retain pace with sophisticated attacks targeting these systems, which control real-world processes where disruptions can have immediate and severe consequences. Now, NVIDIA is spearheading a shift toward AI-driven cybersecurity for OT, collaborating with industry leaders to embed security directly into infrastructure and enable real-time threat response.
The convergence of IT and OT networks, while enhancing capabilities, expands the attack surface for malicious actors. Many OT systems were designed prioritizing reliability over modern security protocols, creating vulnerabilities that attackers are actively exploiting. NVIDIA’s approach focuses on leveraging accelerated computing and artificial intelligence to address these challenges, offering a new layer of defense for systems that underpin essential services.
NVIDIA is working with Akamai Technologies, Forescout, Palo Alto Networks, Xage Security, and Siemens to bring this new level of protection to critical infrastructure. The core strategy involves embedding security at the edge, coordinating defenses through centralized AI, and bolstering the resilience of systems that keep the physical world running.
Zero Trust Security Enhanced for Industrial Environments
A key component of this new approach is the implementation of “zero trust” security models within OT environments. Zero trust operates on the principle of never trusting and always verifying, requiring continuous authentication for every user, device, and workload. While widely adopted in traditional IT, applying zero trust to OT has been historically difficult due to legacy systems and safety-critical operations. NVIDIA, in partnership with Forescout, is aiming to overcome these hurdles.
Forescout provides agentless discovery and classification of OT assets, delivering real-time risk assessment and policy enforcement. This visibility, combined with NVIDIA BlueField DPUs running security services at the industrial edge, allows for the containment of lateral movement and enforcement of zero trust controls without disrupting critical processes. NVIDIA BlueField DPUs run security services on dedicated hardware, isolating protection from operational systems.
AI-Powered Runtime Security and Segmentation
Siemens is integrating NVIDIA BlueField into its AI-ready Industrial Automation DataCenter, a platform designed to consolidate automation expertise and deliver a zero-trust solution tailored for industrial environments. Prisma AIRS AI Runtime Security, leveraging NVIDIA BlueField, provides deep visibility into industrial traffic and continuous monitoring for abnormal behavior, strengthening security coverage and operational uptime.
Akamai Technologies is extending its Guardicore Platform to run on NVIDIA BlueField, enabling agentless segmentation – isolating applications and workloads into secure zones – and enforcing zero-trust policies at the edge. This approach eliminates the need for agents that may be incompatible with older OT systems, ensuring full network speed and minimal disruption to time-sensitive operations.
Protecting Energy Infrastructure and the AI Supply Chain
Recognizing the critical link between energy infrastructure and the growing demands of artificial intelligence, Xage Security is collaborating with NVIDIA to secure both energy systems and the AI operations they support. Xage already protects approximately 60% of U.S. Midstream pipeline infrastructure and works with utilities globally. By combining its distributed, identity-based security platform with NVIDIA BlueField, Xage aims to protect energy assets, manage access, and secure AI-driven operations at scale.
This collaborative effort is establishing a consistent OT cybersecurity architecture where security services run at the edge on NVIDIA BlueField DPUs, with OT data analyzed centrally to identify threats and insights shared across IT and OT environments. This coordinated defense promises faster threat detection, improved resilience, and consistent performance.
NVIDIA and its partners will be demonstrating these advancements at the S4x26 security conference, running February 24–26 in Miami. The integration of AI and accelerated computing represents a significant step toward a new standard for securing critical infrastructure, where protection and operational excellence work in tandem.
The future of OT cybersecurity will likely involve continued refinement of these AI-driven approaches, alongside the development of standardized protocols and increased collaboration between industry and government. As threats evolve, a proactive and adaptive security posture will be essential to safeguarding the critical systems that power our world.
What are your thoughts on the role of AI in securing critical infrastructure? Share your insights in the comments below.
