AI Agent · Nvidia · NVIDIA Blog
AI agents introduce new capabilities, reasoning, applying systems and adapting actions based on the data they encounter
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This pace creates pressure.
Key facts
- Examples include Capital One’s VulnHunter for AI-powered code security, and ReversingLabs’ Spectra Assure for AI-powered analysis of software packages to detect malware and tampering
- NVIDIA’s security research and the Open Secure AI Alliance support that exchange by bringing research, practical tools and expertise into the broader security community
- As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster
- AI agents introduce new capabilities, reasoning, using tools and adapting actions based on the data they encounter
Summary
As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. The internet and cloud computing changed how software operates, while core security responsibilities endured: establish identity, control access, limit exposure and verify that protections work. AI agents introduce new capabilities, reasoning, using tools and adapting actions based on the data they encounter. Applications depend on code, data, identities, services and infrastructure. Models provide capabilities; harnesses organize context, tools and workflows; and runtime environments provide the infrastructure within which actions execute.