Thursday, November 21, 2024

How Jamworks Protects  Confidentiality while using AI

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AI has sparked a new technological era with benefits across industries. AI can transform operations, improve decision-making, and spur innovation. AI has many benefits, from predictive analytics that improves strategies to natural language processing that improves customer interactions and daily tasks to assistive tools that improve accessibility, communication, and independence for disabled people.

“AI is revolutionizing education, accessibility, and productivity. Stuart Winter, Executive Chairman and Co-Founder at Lacero Platform Limited, Jamworks, and Guardian, says enterprises dealing with sensitive data must maintain state-of-the-art data security to reap the rewards.

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As AI services move to cloud platforms, data privacy becomes a priority. AI services in the cloud transfer sensitive data to external servers, raising questions about data ownership, jurisdiction, and control. Global cloud providers face complex compliance issues due to regional data protection laws. Compromised data security, breaches, and loss of proprietary information can result.

A holistic approach is needed to maximize AI benefits while protecting data. Organizations must carefully research the cloud providers’ operational jurisdictions to comply with data protection laws. To prevent data theft, strong encryption, granular access controls, and privacy-preserving methods are needed. Secure and compliant AI implementation can also be achieved through transparent cloud provider agreements on data handling and ownership.

AI has transformative potential, but data confidentiality is a concern, especially in cloud-hosted environments. To strike the right balance, regulatory nuances and strict security protocols must be considered. By navigating this complex terrain, organizations can use AI while protecting their data.

When using AI, Jamworks protects data

Jamworks AI records, transcribes, summarizes, and draws conclusions from meetings, conversations, and lectures. After four years with AI, the Jamworks team is convinced that the technology can change how we study and work, benefiting people with disabilities and neurodivergent people (if implemented securely and responsibly).

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Jamworks has two main products: Education and Business. Jamworks for Education turns lectures into interactive, engaging, and accessible study materials like perfectly formatted notes, interactive flashcards, and a personalized AI tutor for each class. All students benefit from these features, but those with ADHD, dyslexia, or hearing impairments need them. Interactive study materials and personalized chatbots help students learn and explore topics in new and exciting ways, while automated notetaking helps them focus and “be present in the moment” in class. The lecturer can adjust and fine-tune the AI’s output. This gives student’s confidence in the output.

Jamworks for Business automatically highlights key sections and generates action items to prevent data loss from in-person and online meetings. Users can also ask questions against meeting transcripts to refresh their memories and review in a conversational manner. Like their educational product, Jamworks for Business saves time and boosts productivity for all employees, but it’s especially useful for neurodivergent and disabled team members who need assistive technology. Employers required to provide assistive technology can benefit from Jamworks for Business.

AI has the potential to improve millions of lives, but organizations with sensitive data may need specific security assurances. Information from earnings calls to personal health data must be kept confidential and cyberattack-proof.

Private-enhancing technologies solve problems

Confidentiality is a strong solution to data privacy issues associated with cloud-based AI Services or AI models that leverage cloud scale.

Hardware-based enclaves encrypt and isolate sensitive data during processing, preventing unauthorized access even in the cloud. Only authorized parties have the decryption keys (or the application is running in a secure execution environment), so data cannot be accessed.

Confidential computing protects data integrity by running computations in secure enclaves. Thus, organizations can confidently adopt AI in the cloud knowing that their valuable data remains confidential, intact, and immune to breaches, enabling responsible and secure use of advanced AI technologies.

Data protection at rest, in transit, and in use with full authority

Computing, containers, databases, and encryption are needed to protect sensitive data. Controlling data access and securely processing unencrypted data are key. Technical assurance that only you can access and control your data and that cloud service operators cannot access the data or keys is crucial. Technical assurance protects these data states in addition to other protections.

Technical assurance provides maximum privacy and security

Operating assurance means your cloud provider cannot access your data based on trust, visibility, and control. Technical proof, data encryption, and runtime isolation prevent your cloud provider from accessing your data. Your CI/CD pipeline can also be protected from bad actors.

Hyperprotect sensitive cloud data and workloads

IBM provides industry-leading cloud, digital asset, and workload security. Built on IBM LinuxONE security-rich enclaves, they protect data at rest, in flight, and in use. IBM services make it easy for developers to build applications that handle sensitive data and help companies meet regulatory compliance requirements.

IBM Cloud Hyper Protect Services safeguard data throughout its lifecycle

These services give enterprises full control over sensitive data, workloads, and encryption keys using the latest cloud-native technology. Even IBM Cloud administrators cannot access. Keep Your Own Key from IBM Hyper Protect Crypto Services encrypts data at rest and in transit with cloud user-controlled keys and manages them securely. IBM Cloud Hyper Protect Virtual Server for VPC isolates the runtime to protect against bad actors like the Infrastructure-as-a-Service (IaaS) Admin and Kubernetes Admin while allowing the use of cutting-edge container technologies. This allows AI deployment in containers with the technical assurance of no unauthorized access to sensitive data or harmful misconfiguration due to the tamper-proof runtime, based on hardware but delivered as a service.

IBM Hyper Protect Platform helps Jamworks build a secure AI service

AI has great potential for healthcare and finance in the age of data-driven decision-making. In regulated, IP-driven, and data-sensitive industries, adoption has been slower. Data privacy and security are major obstacles to AI integration in these sectors. In regulated, IP-driven, and data-sensitive industries, confidential compute lets them use AI while protecting their data.

Confidential compute and confidential AI provide innovative solutions to protect privacy, prevent data breaches, and meet regulatory requirements. Confidential AI can improve healthcare patient outcomes, innovative industry IP protection, and financial services security. Confidential AI could transform society by bridging the gap between data privacy and AI adoption and meeting the needs of regulated, IP-driven, and data-sensitive industries.

This is why Jamworks for Business is building confidential AI with IBM Hyper Protect. The collaboration uses IBM Hyper Protect Services privacy-enhancing technologies to ensure Jamworks’ AI’s confidentiality and data integrity. Hyper protecting Jamworks AI will enable security-conscious employees to benefit from generative AI advances. Data privacy is protected, while AI and AI-powered services boost efficiency and productivity for business leaders and individuals.

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Drakshi
Drakshi
Since June 2023, Drakshi has been writing articles of Artificial Intelligence for govindhtech. She was a postgraduate in business administration. She was an enthusiast of Artificial Intelligence.
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