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How Jamworks protects confidentiality while incorporating AI benefits

The integration of artificial intelligence (AI) has ushered in a new era of technological advancement and offers numerous benefits across industries. The potential of AI to transform operations, enhance decision-making, and drive innovation is undeniable. The benefits of AI are diverse and impactful: from predictive analytics that improves strategy, to natural language processing that facilitates customer interactions and supports users in their daily tasks, to assistive tools that improve accessibility, communication, and independence for people with disabilities.

“AI is driving a revolution in education, accessibility, and productivity. “For companies handling sensitive information, maintaining state-of-the-art data security is critical to reaping the rewards.” says Stuart Winter, Chairman and Co-Founder of Lacero Platform Limited, Jamworks and Guardian.

However, as AI services become established on cloud platforms, the issue of data confidentiality has gained attention. Cloud-hosted AI services require sensitive information to be transferred to external servers, which can raise questions about data ownership, jurisdiction, and control. The global nature of cloud providers creates complex compliance issues as data protection laws vary from region to region. This can compromise data security, lead to breaches, and reduce control over proprietary information.

The challenge of gaining the benefits of AI while protecting data confidentiality requires a holistic strategy. Organizations must perform careful due diligence on the legal environment in the jurisdictions in which their cloud providers operate to ensure compliance with data protection regulations. Strong encryption, granular access control, and privacy technologies are essential to combat the risk of unauthorized data access and use. Transparent contracts with cloud providers (outlining data processing practices and ownership) can also provide a path to more secure and compliant AI implementations.

Inherently, the promise of AI’s transformative potential coexists with concerns of data confidentiality, especially within cloud-hosted environments. Striking the right balance requires an approach that accommodates regulatory nuances while implementing rigorous security protocols. By navigating this complex landscape, organizations can leverage the power of AI while maintaining the integrity and confidentiality of their data.

Jamworks ensures data confidentiality when utilizing AI.

Jamworks AI is a powerful note-taking and productivity tool that records, transcribes, summarizes, and generates meaningful insights from meetings, conversations, and lectures. Having used AI for almost four years, the Jamworks team is convinced that this technology has the power to transform the way we study and work, providing benefits to people with disabilities and neurological disorders (if the technology can be used safely and responsibly). (as long as it is implemented). .

Jamworks has two core products: Jamworks for Education and Jamworks for Business. Jamworks for Education transforms your lectures into interactive, engaging, and accessible learning materials: fully formatted note sets, interactive flash card decks, and personalized AI tutors trained for each lesson. While these features are appealing to all students, they are essential for students who experience learning disabilities such as ADHD, dyslexia, or hearing impairment. Automated note-taking helps students stay focused and “present” during class, while interactive study materials and personalized chatbots encourage students to learn and explore topics in new and exciting ways. Importantly, instructors can not only view the AI’s output, but also adjust and fine-tune this output. This allows students to trust the results in front of them.

Jamworks for Business records in-person and online meetings, automatically highlights key sections and creates action items to ensure important information isn’t lost. Users can also ask questions about meeting transcripts to refresh their memories and review what was discussed in a simple, conversational way. Like its educational offerings, Jamworks for Business offers significant time savings and productivity benefits to all employees, but it can be especially useful for disabled or neurodivergent team members who require assistive technology. Jamworks for Business is also useful for employers who are legally required to provide assistive technology.

Clearly, AI has the potential to improve the lives of millions of people, but organizations handling highly sensitive data may need specific assurances that their data is safe. From information discussed on an earnings call to personal health data, it is important to keep information confidential and protected from cyberattacks.

Provide solutions with privacy-enhancing technology

Confidential computing emerges as a powerful solution to address data privacy concerns accompanying the adoption of cloud-based AI services or AI models that leverage the scale of cloud environments.

Technologies such as hardware-based enclaves can effectively prevent unauthorized access even within cloud infrastructures by ensuring sensitive data remains encrypted and isolated during processing. This approach enhances data confidentiality by ensuring that only authorized parties have the necessary decryption keys (or the entire application runs within a secure execution environment), ensuring that the data is completely inaccessible.

Confidential computing also protects data integrity by allowing computations to be performed within a secure area, protecting data integrity from potential tampering. As a result, organizations can confidently adopt AI in the cloud knowing that their valuable data will remain confidential, uncompromised, and protected from breaches, laying the foundation for leveraging advanced AI technologies responsibly and securely.

How to protect your data at rest, in transit and in use with full control

Protecting sensitive data requires a holistic approach that includes compute, containers, databases, and encryption. The key is to control access to data and provide a secure way to handle unencrypted data. It is important to have technical assurances that only you have access to and control over your data, and that no cloud service operator has access to your data or keys. Protecting these data states through technology assurance is complementary and does not replace or replace other existing protections.

Technical assurance provides the highest level of privacy and protection.

Operational assurance means that the cloud provider does not access your data based on trust, visibility, and control. Technology Assurance ensures that cloud providers cannot access your data based on technology proofs, data encryption, and runtime isolation. It can also help protect your CI/CD pipeline from malicious actors.

Get strong protection for your sensitive data and workloads in the cloud.

IBM’s capabilities include industry-leading security services for cloud data, digital assets and workloads. Built on the security-hardened IBM® LinuxONE enclave, it provides built-in protection for data at rest and in motion, as well as protection for data in use. The service is designed to help application developers easily build applications that handle highly sensitive data while helping enterprises meet compliance requirements.

IBM Cloud Hyper Protect Services protects your data at every stage of the data lifecycle.

These services allow enterprises to take full advantage of the latest cloud-native technologies while retaining full control over their sensitive data, workloads, and encryption keys. IBM Cloud administrators also do not have access. IBM Hyper Protect Encryption Service Keep Your Own Key allows data at rest or in transit to be encrypted with a key that cloud users can solely control and manage efficiently and securely. IBM Cloud Hyper Protect Virtual Server for VPC You can employ cutting-edge container technologies while fully isolating the runtime to protect against malicious actors, including Infrastructure-as-a-Service (IaaS) administrators or Kubernetes administrators. This allows AI to be deployed in containers with technical assurances against unauthorized access to sensitive data or harmful misconfiguration of AI models, through tamper-proofing of the runtime, which is based on hardware but delivered as a service.

Jamworks uses IBM Hyper Protect Platform to build confidential AI services.

In the era of data-driven decision-making, the adoption of AI holds tremendous promise for a variety of industries, from healthcare to finance. However, this adoption has been noticeably slower in regulated, IP-based, and data-sensitive industries. Key concerns center on data privacy and security, which are often seen as significant barriers to integrating AI into these sectors. Organizations in regulated, IP-driven, and data-sensitive industries can leverage confidential computing to leverage the power of AI while ensuring robust protection for their data.

Confidential AI, based on confidential computing, provides innovative solutions to protect privacy, prevent data breaches, and maintain compliance with regulatory requirements. Confidential AI can have a number of positive societal impacts in these sectors, including improving patient outcomes in healthcare, strengthening IP protection for innovative industries, and strengthening financial services security. Overall, confidential AI can be a transformative force that bridges the gap between data privacy and AI adoption and addresses the unique needs of regulated, IP-driven, data-sensitive industries in a way that positively impacts society. It has potential.

That’s why Jamworks for Business partners with IBM Hyper Protect to build confidential AI. The goal of this collaboration is to protect the integrity of Jamworks AI (and the confidentiality of personal data) with the help of privacy-enhancing technologies available through IBM Hyper Protect Services to achieve confidential AI. Robust protection of Jamworks AI ensures that employees in security-sensitive organizations can benefit from the latest AI developments. Sensitive information is kept confidential to meet data privacy requirements, while AI and AI-based services support business leaders and individuals by increasing efficiency and productivity.

Learn more about complete data privacy and protection.

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