Security Becomes Shared Infrastructure
AI is expanding the attack surface faster than individual companies can defend it.
NVIDIA and more than 30 technology organizations have launched the Open Secure AI Alliance, an initiative focused on developing and sharing open tools for AI safety and cybersecurity.
The founding group includes Microsoft, IBM, Cisco, CrowdStrike, Red Hat, Hugging Face and the Linux Foundation, among others. Its premise is significant: as AI agents gain access to code, credentials, databases and production systems, security can no longer depend exclusively on protections developed behind each company’s walls.
The threat is becoming systemic. The response may need to become shared infrastructure.
This does not mean every model, vulnerability or internal system should be made public. It means that some defensive capabilities—evaluation methods, red-teaming tools, vulnerability detection and disclosure standards—may be more effective when organizations can inspect, test and improve them collectively.
For companies adopting AI, the practical lesson is not to wait for a universal security framework.
Start with three questions:
- Which systems can an AI agent access?
- Which actions can it execute without approval?
- Would you be able to reconstruct exactly what it did?
Then treat security controls as reusable infrastructure rather than project-specific additions. Centralize access policies, logging, credential management, model evaluation and incident response procedures.
AI may be distributed across many products and vendors. The defensive layer should not be equally fragmented.
The signal is clear: in the agentic era, security remains an organizational responsibility—but some of its most important tools may have to be built together.
