MongoDB é membro fundador do AI Safety Institute Consortium do NIST

Mat Keep and Rachelle Palmer
February 8, 2024 | Updated: March 4, 2024

O National Institute of Standards and Technology (NIST) do Departamento de Comércio dos Estados Unidos está estabelecendo o Artificial Intelligence Safety Institute Consortium (AISIC) para apoiar o desenvolvimento e a implantação de IA segura e confiável.

Juntamente com o MongoDB do setor de tecnologia, o Consórcio inclui a Amazon.com, AMD, Anthropic, Apple, Cohere, GitHub, Google, Hugging Face, Inflection AI, Intel, Meta, Microsoft, Nvidia, OpenAI e Salesforce. No total o Consórcio reúne mais de 200 criadores e usuários de IA, acadêmicos, pesquisadores do governo e do setor e organizações da sociedade civil. Juntos, os membros estão focados na P&D necessária para permitir sistemas de IA seguros e confiáveis e sustentar padrões e políticas no futuro. Você pode ver a lista completa dos membros atuais do Consórcio no site do NIST.

O Consórcio ajudará no desenvolvimento de diretrizes e padrões baseados em ciência e apoiados empiricamente para medição e política de IA, estabelecendo a base para a segurança da Inteligência Artificial em todo o mundo. Isso ajudará a preparar os EUA para abordar os recursos da próxima geração dos modelos ou sistemas de IA, desde modelos de eficiência até novas aplicações e abordagens, com estratégias apropriadas de gestão de riscos.

A secretária do Departamento de Comércio dos EUA, Gina Raimondo, comentou: "O governo dos Estados Unidos tem um papel importante para desempenhar na definição dos padrões e no desenvolvimento das ferramentas necessárias para diminuir os riscos e aproveitar o imenso potencial da inteligência artificial. O presidente Biden nos orientou a utilizar todos os recursos disponíveis para alcançar dois objetivos principais: definir padrões de segurança e proteger nosso ecossistema de inovação. É exatamente isso que o AI Safety Institute Consortium dos EUA está estruturado para nos ajudar a fazer. Por meio de um Decreto do presidente Biden, garantiremos que os EUA estejam na frente dessa empreitada e, trabalhando com esse grupo de líderes da indústria, da sociedade civil e da academia, juntos poderemos enfrentar esses desafios para desenvolver as medidas e os padrões dos quais precisamos para manter a vantagem competitiva dos EUA e desenvolver a IA de forma responsável."

Contribuições do MongoDB para o Consórcio

Aproveitando a experiência adquirida trabalhando com startups, empresas e governos construindo e implantando aplicativos baseados em IA, o MongoDB contribuirá com sua experiência e recursos em vários campos, incluindo:

  • Bancos de dados multi-cloud e distribuídos globalmente, juntamente com tecnologia de pesquisa e recuperação vetorial, como o Atlas Vector Search do MongoDB, que alimenta aplicativos de IA em escala.

  • Engenharia de experiência do desenvolvedor adquirida com a criação de aplicativos que se integram com o ecossistema de modelos e estruturas de IA em todas as linguagens de programação mais populares.

  • Governança de dados e as tecnologias de segurança cibernética, como a inovadora Queryable Encryption, protegem os dados e preservam a privacidade.

"Acreditamos que a tecnologia orientada por software e dados torna o mundo um lugar melhor e vemos nossos clientes construindo aplicativos modernos alcançando isso todos os dias", comentou Lena Smart, Diretora de Segurança da Informação do MongoDB. "Novas tecnologias como IA generativa podem ter um benefício imenso para a sociedade, mas devemos garantir que os sistemas de IA sejam construídos e implementados usando padrões que ajudem a garantir a operação de forma segura e sem prejudicar a população. Ao apoiar o Artificial Intelligence Safety Institute Consortium dos EUA como um membro fundador, o objetivo do MongoDB é usar o rigor científico, nossa experiência no setor e uma abordagem centrada no ser humano para orientar as organizações para testar e implantar com segurança sistemas de IA confiáveis sem sufocar a inovação."

Além do envolvimento com o AISIC, o MongoDB Atlas para o programa do governo permite que os departamentos do governo dos EUA acelerem seu período de preparação com um banco de dados projetado para a produtividade do desenvolvedor e suporte amplo para a carga de trabalho. O MongoDB Atlas fornece segurança de nível governamental em um ambiente dedicado e FedRAMP Moderate Authorized.

O papel do NIST na definição de padrões tecnológicos

Como parte do Departamento de Comércio dos EUA, o NIST desempenha um papel fundamental no desenvolvimento de tecnologia, métricas e padrões voltados para aprimorar a segurança econômica e melhorar a qualidade de vida dos cidadãos americanos. Através das suas atividades rigorosas de pesquisa e desenvolvimento, o NIST fornece orientação essencial e suporte para as indústrias e a ciência, garantindo a confiabilidade e precisão das medições e padrões essenciais para inovação e competitividade no mercado global.

O NIST não avalia produtos comerciais sob este Consórcio e não endossa nenhum produto ou serviço usado. Mais informações sobre esse Consórcio podem ser encontradas em: https://www.federalregister.gov/documents/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium

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Announcing MongoDB as a Founding Member of the NIST AI Safety Institute Consortium

This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) is establishing the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) to support the development and deployment of safe and trustworthy AI. Alongside MongoDB from the technology sector, the Consortium includes Amazon.com, AMD, Anthropic, Apple, Cohere, GitHub, Google, Hugging Face, Inflection AI, Intel, Meta, Microsoft, Nvidia, OpenAI, and Salesforce. In total, the Consortium brings together over 200 AI creators and users, academics, government and industry researchers, and civil society organizations. Together the members are focused on the R&D necessary to enable safe, trustworthy AI systems and underpin future standards and policies. You can see the complete list of current Consortium members on the NIST website . The Consortium will collaborate to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This will help prepare the U.S. to address the capabilities of the next generation of AI models or systems, from frontier models to new applications and approaches, with appropriate risk management strategies. Secretary of U.S. Department of Commerce Gina Raimondo said, “The U.S. government has a significant role to play in setting the standards and developing the tools we need to mitigate the risks and harness the immense potential of artificial intelligence. President Biden directed us to pull every lever to accomplish two key goals: set safety standards and protect our innovation ecosystem. That’s precisely what the U.S. AI Safety Institute Consortium is set up to help us do. Through President Biden’s landmark Executive Order, we will ensure America is at the front of the pack—and by working with this group of leaders from industry, civil society, and academia, together we can confront these challenges to develop the measurements and standards we need to maintain America’s competitive edge and develop AI responsibly.” MongoDB’s contributions to the Consortium Capitalizing on the experience gained working with startups, enterprises, and governments building and deploying AI-powered applications , MongoDB will contribute its expertise and resources across multiple fields including: Multi-cloud, globally distributed databases along with vector search and retrieval technology such as MongoDB Atlas Vector Search that power AI apps at scale. Developer experience engineering gained from building applications that integrate with the ecosystem of AI models and frameworks across all of the most popular programming languages. Data governance and cybersecurity technologies such as its groundbreaking Queryable Encryption protect data and preserve privacy. “We believe that technology driven by software and data makes the world a better place, and we see our customers building modern applications achieving that every day,” said Lena Smart, Chief Information Security Officer at MongoDB . “New technology like generative AI can have an immense benefit to society, but we must ensure AI systems are built and deployed using standards that help ensure they operate safely and without harm across populations. By supporting the U.S. Artificial Intelligence Safety Institute Consortium as a founding member, MongoDB’s goal is to use scientific rigor, our industry expertise, and a human-centered approach to guide organizations on safely testing and deploying trustworthy AI systems without stifling innovation.” In addition to involvement in the AISIC, the MongoDB Atlas for Government program enables U.S. government departments to accelerate their time-to-mission with a database designed for developer productivity and broad workload support. MongoDB Atlas provides government-grade security running in a FedRAMP Moderate Authorized, dedicated environment. NIST’s role in setting technology standards As a part of the U.S. Department of Commerce, NIST plays a pivotal role in developing technology, metrics, and standards aimed at enhancing economic security and improving the quality of life for U.S. citizens. Through its rigorous research and development activities, NIST provides critical guidance and support for industries and science, ensuring the reliability and accuracy of measurements and standards essential for innovation and competitiveness in the global marketplace. Note that NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found at: https://www.federalregister.gov/documents/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium

February 8, 2024
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MongoDB Database Observability: Integrating with Monitoring Tools

This post is the final in a three-part series on leveraging database observability. Welcome back to our series on Leveraging Database Observability! Our previous post showcased a real-world use case highlighting how MongoDB Atlas’s observability tools effectively tackle database performance challenges. Whether you’re a developer, DBA, or DevOps engineer, our mission is to empower you to harness the full potential of your data through our observability suite . Integrating Atlas metrics with your central enterprise observability tools can simplify your operations. By seamlessly working with popular observability tools, our approach helps teams streamline workflows and enhance visibility across systems. Integrating MongoDB Atlas with third-party monitoring tools MongoDB’s developer data platform combines all essential data services for building modern applications within a unified experience. Our purpose-built observability tools for Atlas environments offer automatic monitoring and optimization, guiding diagnostics tailored specifically for MongoDB. Additionally, we extend Atlas metrics into your existing enterprise observability stack, enabling seamless integration without replacing your current tools. This creates a consolidated, single-pane view that unifies Atlas telemetry with other tech and application metrics, ensuring comprehensive visibility into both database and full-stack performance. This integration empowers you to monitor, receive alerts, and make data-driven decisions within your existing workflows, driving greater efficiency. Below is a quick guide to modifying integration settings through the Atlas UI and the popular integrations we support: Navigate to the Project Integrations page in Atlas. Choose the organization and project you want to configure from the navigation bar. On the Project Integrations page, select the third-party services you’d like to integrate. Configure the chosen services with the required API keys and regions. Critical integrations for your observability platform With Atlas’s Datadog and Prometheus integrations, you can send critical MongoDB metrics to these platforms, empowering detailed, real-time monitoring. Through Datadog , you can track database operation counts, query efficiency, and resource usage, ideal for pinpointing bottlenecks and managing resources. Similarly, Prometheus enables you to monitor essential metrics like query times, connection rates, and memory usage, supporting flexible tracking of database health and performance. Both integrations facilitate proactive detection of issues, alert configuration for resource thresholds, and a cohesive view of Atlas data when visualized in Grafana. Atlas’s integration with PagerDuty streamlines incident management by sending metrics like performance alerts, billing anomalies, and security events directly to PagerDuty. This integration records incidents automatically, notifies teams upon alerts, and supports two-way syncing, ensuring resolved alerts in Atlas are reflected in PagerDuty. It enables efficient incident response and resource allocation to maintain system stability. With Atlas integrations for Microsoft Teams and Slack, you can route key metrics—such as query latency, disk usage, and throughput—to these channels for timely updates. Teams can use these insights for real-time performance monitoring, incident response, and collaboration. Notifications through these platforms ensure your team stays informed on database performance, storage health, and user activity changes as they occur. Use case: Centralized observability with MongoDB Atlas, Datadog, and Slack Let’s walk through a hypothetical scenario for ShopSmart, an e-commerce company that leverages MongoDB Atlas to manage its product catalog and customer data. As traffic surges, the DevOps team faces challenges in monitoring application performance and database health effectively. To tackle these challenges, the team leverages MongoDB Atlas’ integration with Datadog and Slack, creating a powerful observability ecosystem. Integrating MongoDB Atlas with Datadog: The team pushes key MongoDB Atlas metrics into Datadog, such as query performance, connection counts, and Atlas Vector Search metrics. With Datadog, they can visualize these metrics and correlate overall MongoDB performance with their other applications. Out-of-the-box monitors and dedicated dashboards allow the team to track metrics like throughput, average read/write latency, and current connections. This visibility helps pinpoint bottlenecks in real time, ensuring optimal database performance and improving overall application responsiveness. Setting up alerts in Datadog: The team configures alerts for critical metrics like high query latency and increased error rates. When thresholds are breached, Datadog instantly notifies the team. This proactive approach allows the team to address potential performance issues before they impact customers. Integrating Datadog with Slack: To ensure fast communication, alerts are sent directly to the dedicated Slack channel, “ShopSmart-Alerts.” This integration fosters seamless collaboration, enabling the team to discuss and resolve issues in real-time. With these integrations, ShopSmart’s engineering team can monitor performance quickly and address issues efficiently. The unified observability approach enhances operational efficiency, improves the customer experience, and supports ShopSmart’s competitive edge in the e-commerce industry. By leveraging MongoDB Atlas, Datadog, and Slack, the team ensures scalable performance and drives continuous innovation. Conclusion MongoDB Atlas empowers developers and organizations to achieve unparalleled observability and control over their database environments. By seamlessly integrating with central enterprise observability tools, Atlas enhances your ability to monitor performance metrics and ensures you can do so within your existing workflows. This means you can focus on building modern applications confidently, knowing you have the insights and alerts necessary to maintain optimal performance. Embrace the power of MongoDB Atlas and transform your approach to database management—because your applications can thrive when your data is observable. And that wraps up our Leveraging Database Observability series! We hope you learned something new and found value in these discussions. Sign up for MongoDB Atlas , our cloud database service, to see database observability in action. To dive deeper and expand your knowledge, check out this learning byte for more insights on the MongoDB observability suite and how it can enhance your database performance.

November 14, 2024