NVIDIA unveiled its AI security stack designed to enable enterprise trust, control and governance for advanced agentic AI systems, addressing dual cybersecurity challenges of defending with and against autonomous AI agents. The announcement comes as cybersecurity teams face increasing talent shortages and growing alert volumes requiring fundamental ecosystem pivots.
Leading organisations including Deloitte are implementing NVIDIA AI Blueprint for vulnerability analysis, NVIDIA NIM and NVIDIA Morpheus to accelerate software patching and vulnerability management for customers. AWS collaborated with NVIDIA to build an open-source reference architecture using NVIDIA AI Blueprint for software security patching on AWS cloud environments.
CrowdStrike's Charlotte AI Detection Triage demonstrates measurable enterprise impact, delivering 2x faster detection triage with 50% less compute resources while reducing alert fatigue and optimising security operation center efficiency. Top security providers including CrowdStrike and Trend Micro are integrating NVIDIA AI software to advance agentic AI in cybersecurity operations.
The NVIDIA AI Enterprise software platform maintains application programming interface stability while addressing vulnerabilities throughout software lifecycles through regular code scans and timely security patch publication. The software stack includes container signatures, model signing and software bill of materials to enable component verification across agentic AI systems.
NVIDIA BlueField DPUs combined with NVIDIA DOCA Argus provide comprehensive real-time visibility into agent workload behaviour and threat detection through advanced memory forensics. EQTYLab developed a cryptographic certificate system providing on-silicon governance for AI agent runtime compliance, featured as a top 10 RSA Innovation Sandbox recipient.
Cisco pioneered secure AI infrastructure by integrating NVIDIA BlueField DPUs, forming the foundation of the Cisco Secure AI Factory with NVIDIA for scalable, secure enterprise AI deployments. NVIDIA Confidential Computing support extends to NVIDIA Hopper and NVIDIA Blackwell GPUs, enabling isolation technologies for confidential virtual machines across multi-GPU configurations.
Leading partners including Armis, Check Point, CrowdStrike, Deloitte, Forescout, Nozomi Networks and World Wide Technology integrate NVIDIA's full-stack cybersecurity AI technologies to protect critical infrastructure across energy, utilities and manufacturing industries.
Organisations can leverage NVIDIA's agentic AI security framework to address cybersecurity talent shortages while scaling threat detection capabilities. The dual approach enables enterprises to defend both with autonomous AI agents and against potential agentic AI threats through pre-deployment testing and runtime controls across infrastructure deployments.
Enterprise cybersecurity strategies must incorporate agentic AI capabilities to operate at AI speed and scale. NVIDIA's comprehensive security stack addresses critical infrastructure protection requirements as autonomous AI systems integrate into enterprise workflows. Organisations implementing these technologies can reduce analyst workload while maintaining security operation centre efficiency. The partnership ecosystem enables scalable deployment across cloud and on-premises environments, supporting enterprise digital transformation initiatives requiring secure AI foundations.