Cybersecurity AI Solutions

Enterprises are faced with an incredibly vast network of data to protect. NVIDIA Morpheus enables digital fingerprinting through monitoring of every user, service, account, and machine across the enterprise data center to determine when suspicious interactions occur. Combined with NVIDIA GPU and DPU accelerators and NVIDIA DOCA telemetry in NVIDIA-Certified servers, this brings a new level of security to data centers.

Traditional ways of detecting leaked sensitive data rely on static, rules-based models, which are limited by the quality of training data. Instead, NVIDIA Morpheus examines raw packet information as it’s generated for potential leakage. The DOCA telemetry agent, residing on the NVIDIA BlueField DPU, pipes raw packets directly to Morpheus. A natural language processing (NLP) model determines if sensitive information—such as passwords and private keys—is being leaked in the packet. Packets are flagged instantaneously, and a recommended action is routed back to DOCA for policy enforcement. These real-time alerts are delivered to the operator so remediation can begin immediately on data that was compromised.

Spear phishing, one of the largest and most costly cyber threats, uses targeted and convincing emails. It is difficult to defend against due to lack of training data. NVIDIA Morpheus provides an NLP model that has been trained using synthetic emails generated by NVIDIA NeMo to identify spear phishing attempts. With this, detection of spear phishing emails have improved by 20%—with less than a day of training.

The traditional perimeter-only security model is insufficient in today’s world of expanding threats and zero-day exploits. NVIDIA BlueField DPUs enable distributed security functions, such as firewalls, encryption, microsegmentation, intrusion detection/prevention, and application inspection, to run on every server, enabling a zero-trust security stance in the data center. Paired with NVIDIA Spectrum-X™ Ethernet networking, NVIDIA BlueField DPUs create a zero-trust, multi-tenant fabric that secures and isolates AI workloads at scale.

Securing AI agents is a nonnegotiable requirement for production deployments, as it provides the critical layer of defense against threats. Unlike conventional software that follows fixed logic, AI agents reason and execute code dynamically, making them susceptible to indirect prompt injection and goal hijacking where malicious instructions are hidden in external data (like emails or PDFs). By isolating an agent’s execution with the NVIDIA OpenShell™ secure runtime, organizations enforce strict zero-trust boundaries and guardrails to protect their data.