AI is increasingly moving from the cloud to where work happens every day: On the device.
AI is increasingly moving from the cloud to where work happens every day: on the device. Alongside opportunities for performance and user experience, local AI processing can help firms keep sensitive data and corporate intellectual property within their environment. Realizing those benefits requires visibility, protection and governance at the endpoint.
AI security must start at the endpoint, the importance of visibility and isolation, and the opportunity for channel partners to guide customers through the next phase of enterprise AI.
Visibility is the starting point
Organizations need to understand which AI tools are operating across their environment, what they can access, and where unsanctioned use may be emerging. Without that understanding, it becomes harder to establish meaningful boundaries or make informed decisions about adoption.
For businesses, visibility should be part of the adoption process. Decisions about access, oversight and accountability should develop alongside decisions about where AI can deliver value.
Build protection into the foundation
Agentic AI introduces new risks as autonomous agents gain access to data, interact with systems and take action across workflows. It also gives attackers greater automation and speed, potentially making previously lower-risk areas more attractive targets. Organizations need to understand and govern what agents can access and do, while building security into their AI architecture from the outset.
Turn confidence into adoption
For HP, helping businesses adopt AI means helping them establish the conditions for responsible use. Security needs a place in those conversations from the beginning.
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