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Data Theorem
概述
公司介绍
Data Theorem 可防止 AppSec 数据泄露。我们为 API 安全、Web 安全、移动安全和云安全提供 SAST、DAST 和 RASP。
我们的产品为 API(RESTful、GraphQL、gRPC 和 SOAP)、移动应用程序(iOS、Android、React Native、Flutter)、Web 应用程序(Web 2.0 和单页应用程序)和云应用程序 + CSPM(无服务器 Lambda、Google Cloud Functions、Azure Functions)提供库存(发现)、安全测试(SAST/DAST)和主动保护(RASP)。
Data Theorem 总部位于加利福尼亚州帕洛阿尔托,在纽约、芝加哥、波士顿、巴黎和伦敦设有办事处。
物联网应用简介
技术栈
Data Theorem的技术栈描绘了Data Theorem在应用基础设施与中间件, 网络安全和隐私, 机器人, 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
Enhancing Security Through Automated Code Checking: A Case Study on Cisco Duo Security
Duo Security, a part of Cisco, is a leading provider of unified access security and multi-factor authentication delivered through the cloud. Despite being a successful security company, Duo was interested in innovative security solutions that could provide an additional layer of protection to their code. They were particularly intrigued by a technology that could automatically double-check their code and common code libraries quickly and seamlessly. While they had never had a major problem, this “sanity check” sounded like a great idea. However, they insisted on a solution that was well-designed, technically advanced, lightweight, efficient, and did not consume a lot of resources or slow them down. Before Data Theorem, Duo used key materials, checked how things were communicating over the network, and ensured users followed best security practices. They confirmed their code through automated tests, manual checks, etc. but were intrigued by the idea of a third-party 'sanity check', providing an extra layer of protection to ensure nothing is ever missed.
Case Study
Enhancing Mobile Healthcare App Security: A Case Study on Eko Health and Data Theorem
Eko Health, a developer of FDA-approved, AI-powered heart sound and EKG sensors for heart disease monitoring, was in need of a robust, 'always-on' solution to prevent application security data breaches. The company was seeking a vendor to work with on mobile security, as they recognized that current mobile defenses were not keeping pace with new threats. Eko Health was not only looking to get ahead of threats, but also find a solution that is easy to integrate, provides quick results, and is constantly innovating. The team had spent time building their own solutions and exploring open source options, but these efforts were not yielding the desired results. The slow results, cumbersome tasks, and loss of productivity led them to seek a more efficient discovery and autoremediation solution. In 2020, the challenge and demands of managing moving targets in healthcare, as well as reducing re-work for developers led them to Data Theorem.
Case Study
Enhancing Application Security for Cvent with Data Theorem
Cvent, a leading meetings, events, and hospitality management technology provider, was facing challenges with the security of their applications. The applications were created using open-source tools, and the security process was largely manual. This made it difficult for the development team to accelerate their code development and release cycles while ensuring the security of each release in pre-production. Additionally, Cvent was struggling with conducting third-party checks on partners. While compliance checklists and audits were in place, they only captured a snapshot of a partner's commitment to security at a given time. This left Cvent and their partners vulnerable to security incidents from connected devices or phishing emails. Prior to Data Theorem, Cvent relied on penetration testing audits to expose vulnerabilities. However, the high costs and limited coverage of this methodology made it an inadequate solution. Cvent wanted application security to be a critical part of their daily development process.