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Six Agent Harness Capabilities for Higher Model Performance

Decorative image.Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes...Decorative image.

Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes actions, manages state, and decides when a task is done shapes outcomes just as much as the model itself. Harness design alone can account for double-digit swings in benchmark results and significant differences in token cost…

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Can Your Business Afford to Rely on Manual Pentest Reporting in a Rapidly Evolving Threat Landscape?

Security teams talk constantly about speed and resilience. Fine. Trouble starts after the test ends, when reporting sinks into screenshots, copied notes, and rushed edits. That gap matters. A finding stuck in draft form for days isn’t delayed paperwork. It’s a delayed risk reduction. Attackers don’t pause while consultants clean up language or fix severity […]
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How to Store Bitcoin Safely in 2026: Wallet Security and Self-Custody Guide

The Bybit hack in February 2025 drained about $1.5 billion from a multisig wallet. The attackers didn’t break any code. They manipulated the sign-off process itself – tricking multiple approvers into approving fraudulent transactions. That’s what made it unsettling. If a major exchange with dedicated security teams can be taken down this way, what hope […]
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Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3 

Decorative image.For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that...Decorative image.

For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that sits underneath authenticated encryption, error-correcting codes, and modern zero-knowledge proofs. Until now, NVIDIA GPUs lacked native support for this operation. NVIDIA CUDA 13.3 closes that gap with , a new PTX instruction available on…

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Hardware-Rooted AI Security That Won’t Slow You Down

Decorative image.AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns...Decorative image.

AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns surrounding data privacy, sovereignty and how to secure data while it is in use, or during inference and engagement with AI models. NVIDIA Confidential Computing (CC) was engineered to be a secure and performant solution for the era of agentic…

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One-Click Multi-Tenant Security with  NVIDIA Quantum InfiniBand

NVIDIA Quantum InfiniBand now offers intent-based security profiles in Unified Fabric Manager (UFM) that enable multi-tenant fabric security in a single...

NVIDIA Quantum InfiniBand now offers intent-based security profiles in Unified Fabric Manager (UFM) that enable multi-tenant fabric security in a single click. NVIDIA Quantum InfiniBand supports three profiles: General, Bare Metal Cloud, and Secured Bare Metal Cloud. Network administrators can now auto-configure: This cuts deployment time to minutes from hours or days…

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Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented...

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing, AI factories enable enterprises to train, fine-tune, and deploy AI with greater speed and efficiency. This new class of infrastructure also introduces a fundamentally new attack surface spanning…

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How to Automate AI Model Documentation with the NVIDIA MCG Toolkit

As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including  California’s AB-2013 and the EU AI Act, software teams...

As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including California’s AB-2013 and the EU AI Act, software teams face a challenge beyond delivering great code: They need to produce comprehensive, auditable model documentation before the models are released. Model cards describe how a model works, its intended use and license, training data, performance…

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NVIDIA-Verified Agent Skills Provide Capability Governance for AI Agents

Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to...

Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to extend.But scaling agent use with structural transparency and operational integrity requires more than runtime guardrails. Organizations and teams need to understand and trust the skills, or instructions, an agent is using.

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Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding

Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits grep, curl, tar, or a shell pipeline is...

Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits , , , or a shell pipeline is producing an executable action that can read files, mutate a workspace, open network connections, and chain tools together. For the NVIDIA AI Red Team, this makes command generation a useful research target. If smaller language models can be guided…

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