Cyber threats are growing in number and sophistication. NVIDIA is uniquely positioned to enable organizations to deliver more robust cybersecurity solutions with AI and accelerated computing, enhance threat detection with AI, boost security operational efficiency with generative AI, and protect sensitive data and intellectual property with secure infrastructure. It combines robust AI frameworks, architecture, and best practices to create zero-trust and scalable AI data centers and enhance cybersecurity in the face of heightened security threats.
How AI-Based Cybersecurity Strengthens Business Resilience
Learn how industries are applying AI techniques to safeguard data, enable faster threat detection, and mitigate attacks to ensure a consistent delivery of service to customers and partners.
Accelerated AI Performance With 100% Data Visibility
Provides AI inference and real-time monitoring of every server, packet, user, and machine across the entire network with GPU-accelerated performance that’s up to 600X faster than CPU-only servers.
Zero-Trust Security With High Performance
Provides a secure and accelerated infrastructure for any workload in any environment, enabling faster data movement and distributed security at each server to usher in a new era of accelerated computing and AI.
Performant Confidential Computing
Securely uncover revolutionary insights with confidence that data and models remain secure, compliant, and uncompromised—even when sharing datasets or infrastructure with competing or untrusted parties.
Increased Efficiency With Generative AI
Generative AI integration extends capabilities of security analysts with automation, allowing faster and more accurate security analysis and response.
Technology
Explore Our Cybersecurity AI Technologies
Organizations must fully integrate AI to effectively secure it. NVIDIA’s innovative technologies help enterprises and cybersecurity providers strengthen their solutions by leveraging AI and accelerated computing. Cybersecurity is a data problem. AI enables efficient processing of large volumes of real-time data, accelerating threat detection and risk identification. Security analysts can further boost efficiency by integrating generative AI. With accelerated AI in place, organizations can also secure AI infrastructure, data, and models with networking and confidential platforms.
Software
NVIDIA Morpheus
Develop optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data.
Jump-start development of cybersecurity AI solutions using cybersecurity AI workflows with Mopheus.
Securely build, customize, and deploy large language models (LLMs).
Deliver enterprise-ready LLMs with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.
Safeguard organizations overseeing generative AI systems and orchestrate dialog management, ensuring accuracy, appropriateness, and security in smart applications with LLMs.
See how NVIDIA AI and accelerated computing supports industry use cases, and jump-start your cybersecurity AI development with reference examples.
Security Vulnerability Analysis
Anomaly Detection
Data Leakage Protection
Spear Phishing Detection
Zero Trust Architecture
Secure AI
Vulnerability Analysis for Container Security
Addressing software security issues is challenging and time consuming, but generative AI can improve vulnerability defense while reducing the burden on security teams. Using NVIDIA NIM and NVIDIA Morpheus, this event-driven RAG application dramatically decreases common vulnerabilities and exposure (CVE) analysis and remediation time from days to just seconds.
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 and SuperNICs 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.
In the era of generative AI, vector databases have become indispensable for storing and querying high-dimensional data efficiently. However, like all databases, vector databases are vulnerable to a range of attacks, including cyber threats, phishing attempts, and unauthorized access. To make encrypted indexing possible on GPUs, the solution uses NVIDIA Confidential Computing to performantly deliver confidential vector searches.
Get Started With Cybersecurity AI on NVIDIA LaunchPad
Identify and react to cybersecurity threats faster with AI-based threat detection and alert prioritization. Access a step-by-step guided lab for cybersecurity AI for specific use cases with ready-to-use software, sample data, and applications.
Take advantage of our comprehensive LLM learning path, covering fundamental to advanced topics and featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn certificates of competency.
Use the Morpheus pipeline to observe data across the entire network and apply AI inferencing and real-time monitoring to all necessary packets and data streams—at an unprecedented scale.
Confidential computing has changed how we securely exchange information and is literally creating a safer and more secure world while revolutionizing healthcare, financial services and beyond.
Find everything you need to start developing your cybersecurity AI application, including the latest documentation, tutorials, technical blogs, and more.
