Artificial intelligence (AI) can do amazing things in the workplace. Accelerate information gathering, enhance marketing, simplify data analysis, optimize resource allocation, and support decision-making. But while that's a good thing, it also raises some serious concerns. Of course the precision is 1. Ethics is different. But perhaps the biggest risk is security. Securing and patrolling the data input to and received by AI is paramount.
Samsung is at the forefront of bringing AI to business-ready mobile devices. That comes with the responsibility of developing the next generation of robust security tools built for AI, something the company is clearly embracing. Announced at the Galaxy Unpacked event in January 2024, the Galaxy S24 series debuts Galaxy AI and incorporates new, similarly proven security measures into Samsung Knox, delivering the power of AI. protect.
Here, we explore the key areas that business leaders need to ensure when implementing AI in the workplace, and how Samsung's solution helps achieve the required level of security that might otherwise be overlooked. I'll explain how it helps.
1. Data security
Public AI applications use third-party providers to process and store vast amounts of data, increasing both the risk and impact of a data breach if appropriate security measures are not in place locally. If a data breach occurs in the applications your team uses in its daily work, your customer or client data is at risk of being compromised, requiring additional damage control and reputation management. The proliferation of mobile devices and remote work environments further complicates data security by creating additional points of entry for potential threats. This is not a scare tactic. This is a problem inherent in adopting AI as a business tool, but it needs to be addressed.
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Samsung Knox includes a comprehensive suite of data security solutions designed to protect your data at every level. File-based encryption provides a separate encryption key by default. There is also the ability to store materials in a secure folder using independent credentials. Secure Wi-Fi adds protection to public Wi-Fi networks by encrypting your internet traffic and blocking tracking apps. Samsung Auto Blocker can stop sideloading of apps from unknown sources even if the user accidentally approves them. You can also block USB updates to prevent malicious software from being installed. Google Play Protect regularly scans downloaded apps for malware and spyware. Additionally, with Galaxy AI, Google's Secure AI Framework compliance ensures security best practices backed by strict AI data controls and storage to ensure enterprise security, safety, and privacy.
2. Data architecture
Data security is just one piece of the puzzle. Equally important is data architecture. One of the key challenges in data architecture is the need to effectively manage and organize data across different platforms and environments. As enterprises adopt AI applications, IT teams find themselves challenged with a whole new dimension of data stored across a variety of devices, cloud services, and applications. A hybrid remote workplace makes it difficult to maintain consistency, integrity, and security across all data sources and devices.
A fundamental concept in data architecture is the separation of on-device and cloud data. On-device data refers to information stored locally on an individual device. Cloud data resides on remote servers that are accessible over the Internet. Tight control over permissions, data storage, and data access on both sides is essential. Samsung's enterprise Knox platform is built into Galaxy devices, giving IT teams robust and flexible mobile device management (MDM) and enterprise mobility management (EMM) controls right out of the box. Galaxy AI data, on the other hand, is only processed after application permission verification. Data access is restricted to authorized applications only, and no data is stored during the process. Android Work Profile also separates work and personal data on devices with dedicated work and personal profiles, allowing businesses to respect employee privacy while still managing company data. maintain security and control.
3. On-device protection
When it comes to on-device security for the Galaxy S24 series, the Galaxy AI experience itself is secure, with no additional steps required and additional on-device controls available thanks to Samsung Knox. At the core of the Knox platform for enterprises is the Knox Vault, a secure storage space designed to protect sensitive data from unauthorized access. Samsung Knox Vault uses a dedicated security chip, secure processor, and isolated secure memory to protect the most secure data from the Android OS and applications, ensuring sensitive information remains safe even if your device is compromised. protected.
Beyond Knox Vault, Samsung offers an additional layer of on-device protection. For example, Secure Boot verifies the integrity of a device's firmware during startup and prevents unauthorized changes that could compromise security. Permission Manager allows administrators to fine-tune app permissions to ensure only authorized applications can access sensitive data. SmartThings Find provides a safety net against lost or stolen devices. Not only can it help you find your lost device, but you can also remotely lock, erase, or display a customized message on the lock screen. The Knox Platform for Enterprise allows enterprises to deploy AI applications to mobile devices with confidence, knowing that the data on the device is protected every step of the way.
4. Cloud strategy
While the cloud offers unparalleled benefits for businesses, there are also potential drawbacks that are magnified when sensitive data intersects with AI. On the other hand, leveraging cloud infrastructure for AI processing provides scalability, flexibility, and access to vast computing resources. This enables enterprises to run complex AI algorithms, analyze large datasets, and easily deploy AI applications regardless of computational requirements.
That being said, relying on the cloud for AI processing again raises challenges and concerns regarding data security. Sending sensitive data to the cloud for processing opens the door to interception, unauthorized access, and data breaches. Companies in highly regulated industries can run into compliance issues regarding where data is stored and processed. So what can you do to reduce your risk?
Enterprises can consider adopting a strategy to disable cloud processing of sensitive AI tasks. Doing so will give you control over your cloud-based AI data. Samsung offers a solution that allows businesses to seamlessly disable cloud processing through the Knox Service Plug-In. Enabling the “Allow data processing only on device” policy forces AI data processing to occur locally on the device, without relying on the cloud. This approach gives you more flexibility and control over your AI workflows while maintaining data privacy and security. IT administrators can access the Knox Service plugin on major EMMs such as Microsoft Intune, VMware, and Knox Manage.
Security: AI X-Factor
To protect your business as it works with AI, you need up-to-date hardware and software with the necessary security features built in from the start. The answer is not to hide from AI. It's about accepting it and pursuing it while putting the right parts in place to secure it. With the Galaxy S24 series, Galaxy AI, and Samsung Knox, businesses have everything they need to go all-in on AI.
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