What businesses should know about on-device AI and security

The use of artificial intelligence (AI) in business is now embedded in daily workflows as organisations adopt AI-enabled devices at scale. As these devices routinely process confidential and sensitive business data, they increase organisational risks.

This shifts the focus from what can AI do for business to how secure is data on AI-enabled devices? As a result, companies have changed their approach to mobile security. They are now looking to deploy solutions that strengthen data loss prevention. 

This starts with devices that have embedded security into its hardware. With built-in protection across hardware and software, devices like the Galaxy S26 Series help organisations safeguard sensitive data while supporting AI-powered productivity.

As AI adoption accelerates, data security becomes a foundational requirement rather than a supporting feature. Businesses can address this shift by deploying devices with security embedded directly into the hardware. This ensures sensitive information remains protected even as AI-powered workflows grow.

Hardware-level protection plays a critical role in this approach. By isolating sensitive data from the main operating system through Knox Vault, businesses protect confidential information from unauthorised access. 

This protection extends to apps with Knox Enhanced Encryption Protection (KEEP), encrypting storage environments to ensure each app can only access its own information. Having this hardware-level security strengthens data loss prevention at its foundation. This means that every intrusion attempt is met with layered resistance, protecting data and user privacy.

Cloud-based AI powered the first wave of the AI digital transformation for many businesses. This is now driving the adoption of AI-enabled devices for daily work. But with that comes an even greater concern for security as data becomes more vulnerable. 

Cybercriminals are increasingly targeting operating systems and network vulnerabilities, especially as data moves between devices and cloud environments. On-device AI¹ has emerged as a way to reduce this risk. 

Instead of sending sensitive data to the cloud for processing, devices like the Galaxy S26 Series process inputs and outputs on a hardware level. This approach reduces exposure to external threats, while giving businesses greater control over how their data is used.

AI systems learn and generate outputs based on input and user behaviour. When those insights travel through the cloud, businesses give up a certain level of control over their data. This doesn’t just lead to compliance risks, but it also puts employees at risk. 

With the right devices, like the Galaxy S26 Series, businesses are given flexible AI controls that align with their enterprise security policies. In practice, IT teams can enable or disable Galaxy AI² features. 

This allows employees to choose whether their personal data is used for AI-powered features like Now Nudge³ and Now Brief⁴. These tools leverage user behaviour to give personalised insights and suggested actions. With flexible AI controls, IT teams can enable these features for some and turn it off for others, ensuring employee satisfaction and trust. 

In highly regulated industries, this makes a significant difference when deciding on the use of AI in business. AI has the power to streamline decision making and enhance collaboration, but only when it’s properly governed. With the Galaxy S26 Series, businesses can scale AI-powered productivity while retaining full control over how it's deployed across the organisation.

Data leaks aren’t always the result of a compromised system. In some cases, information becomes compromised when confidential data is visible on device screens. 

With hybrid and remote work arrangements, teams are frequently working on their mobile devices in public spaces. This leaves them susceptible to visual hacking, a form of corporate espionage that often goes unnoticed. 

That risk can now be mitigated with features like the built-in privacy display⁵ on the Galaxy S26 Series. When enabled, it limits on-screen visibility to keep prying eyes away. This added layer of protection helps employees work securely wherever their job takes them.

As AI capabilities expand across device fleets, mobile security must continue to scale with it. Device-level protection is essential, but enterprise resilience also depends on centralised visibility and control. 

To truly optimise operations and the power of on-device AI, businesses must look into deploying enterprise-grade solutions that strengthen this level of oversight. With Knox Suite,  companies deploy a comprehensive set of mobile device management (MDM) tools to configure, monitor, and secure devices remotely. 

This consolidation delivers strategic advantages to businesses. For starters, IT teams can ensure consistent policy enforcement across distributed workforces. This means that all employee devices are configured with the same policies, keeping data safe and ensuring responsible use of AI tools. 

They can also monitor devices in real time, detecting anomalies before they compromise systems. Remote lock, wipe, and configuration controls help support data loss prevention by streamlining troubleshooting into a single solution. 

Together, these tools help secure AI-powered workflows while strengthening mobile security across device fleets. 

Enabling mobile AI tools across teams stands to deliver exceptional gains in productivity. But in order to ensure its safe deployment, IT teams must retain granular control over these devices without introducing friction to employee workflows. 

The Galaxy S26 Series, supported by Knox Suite, redefines mobile security in the AI era. Businesses who embrace this can confidently operationalise AI at scale while building resilient and secure mobile infrastructures. 

Empower your teams with the Galaxy S26 Series to bolster productivity without sacrificing security! Find out more here.