HPE joins Open Secure AI Alliance to advance open cybersecurity innovation
- HPE is joining the Open Secure AI Alliance as a founding member to help advance open, collaborative approaches to AI safety and cybersecurity
- The alliance brings together NVIDIA and other industry leaders to promote open models, open tooling, and shared innovation for securing increasingly complex AI systems
- HPE is applying open weight models, open agent harnesses, and open source identity frameworks to strengthen software security and build trust into the development lifecycle
Open innovation has long been at the core of how HPE builds trusted technologies. From our commitment to open source software and industry standards to our contributions across the technology ecosystem, we believe transparency, collaboration, and community-driven innovation strengthen both technology outcomes and security.
That philosophy is especially important in the age of AI.
The alliance recognizes a fundamental truth: defending increasingly complex software and AI systems requires broad participation, transparency, and shared intelligence across the global technology ecosystem.
Today, HPE is announcing it is joining the Open Secure AI Alliance as a founding member. The company will join NVIDIA and other industry leaders committed to advancing cybersecurity and AI safety through open models, open tooling, and collaborative innovation. The alliance recognizes a fundamental truth: defending increasingly complex software and AI systems requires broad participation, transparency, and shared intelligence across the global technology ecosystem.
Why openness matters for cybersecurity
Modern AI systems are more than just models. They rely on a combination of agent frameworks, harnesses, guardrails, governance mechanisms, and models that enable them to reason, act, and interact with enterprise environments. For cybersecurity teams, openness provides important advantages. Open weight models, like NVIDIA Nemotron, and open harnesses enable greater transparency, independent evaluation, and broader innovation.
At HPE, we are already applying open weight models and open agent harnesses, including technologies developed by leading large language model (LLM) innovators, to strengthen our software security practices.
Openness in action: Advancing software security with open models
At HPE, we are already applying open weight models and open agent harnesses, including technologies developed by leading large language model (LLM) innovators, to strengthen our software security practices. These capabilities help analyze source code and binaries to identify potential vulnerabilities, prioritize remediation, and improve software quality.
HPE already contributes to several open source projects that drive innovation. Among them is SPIFFE/SPIRE, which creates zero-trust identity framework standards and methods that can cryptographically verify AI agents and services to ensure only authorized workloads communicate and access enterprise resources.
Building security into the SDLC
HPE is integrating AI-driven cybersecurity scanning directly into the software development lifecycle (SDLC). By leveraging open weight models, open harnesses, and emerging agent technologies, we envision security capabilities that continuously assist developers from code creation through testing, validation, and remediation.
Strengthening trust through collaboration
Trust requires governance, testing, validation, human oversight, and responsible deployment. The Open Secure AI Alliance reflects a growing recognition that AI safety and cybersecurity benefit from collaboration across industry, academia, government, and the open source community.
