BoxyHQ
Skyflow
Auth0
Frontegg
CipherStash
Okta
Microsoft Azure Active Directory
Keycloak
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
LLM Vault BoxyHQ provides an AI security environment to centralize and isolate your company’s secrets. Utilizing advanced encryption techniques, the LLM Vault ensures the confidentiality and integrity of your organization's data. Through granular access controls, it allows precise management of data access, enhancing security while streamlining data handling processes. Your company can now interact with ChatGPT (and other LLMs) and leverage AI models with peace of mind.
Enterprise Single Sign On (SSO) SAML SSO enables a secure authentication via an organization’s Identity Provider (IdP), as opposed to users or IT admins managing thousands, of usernames and passwords. With our product SAML Jackson, enterprise users can access your product via one of their secure IdPs (like Okta, Microsoft Azure, AWS, etc), which manages access and security for the entire organization.
Directory Sync Organizations use directories from different providers to manage users and enforce their access to organization resources. By integrating our Directory Sync product into your solution you can activate and deactivate user accounts, create groups, and keep your app in sync with the user directory in real-time. Supports the SCIM 2.0 protocol.
Additionally, we offer Audit Logs to track critical events in your application and a Data Privacy Vault to safeguard sensitive data.
BoxyHQ JupyterBoxyHQ's answer
BoxyHQ stands out for its comprehensive suite of security building blocks tailored specifically for developers. With features like SAML/OIDC Single Sign-On (SSO) and Directory Sync with SCIM 2.0, BoxyHQ simplifies identity management and access control for B2B SaaS companies. Its focus on providing a seamless and customizable solution empowers developers to enhance security without compromising user experience. Additionally, BoxyHQ offers Audit Logs to track critical events within the product and a Privacy Vault, an API to protect sensitive data.
BoxyHQ's answer
BoxyHQ stands out for several reasons:
BoxyHQ's answer
BoxyHQ's primary audience encompasses:
BoxyHQ's answer
The inception of BoxyHQ is deeply linked with Deepak's journey as the former CTO of a cybersecurity scaleup. In his role, Deepak wrestled with the challenge of allocating resources to enterprise compliance features that diverged from their core value proposition. Alongside Sama, they witnessed the escalating tide of cyber crimes, compounded by the concerning statistic that around 70% of development teams often bypass essential security measures due to time constraints. Motivated by this shared purpose of bringing security earlier in the developer live cycle, they embarked on a mission to address these challenges head-on. BoxyHQ emerged as a solution designed to automate product security and provide low-code APIs for seamless integration, empowering developers to implement enterprise-compliant security measures effortlessly. Through BoxyHQ, Deepak and the team strive to alleviate the burden on development teams while fortifying organizations against the escalating threats posed by cyber crimes.
BoxyHQ's answer
We value the confidentiality of our large enterprise clients due to NDA agreements. However, some of our notable customers include Cal.com, Dub, Supademo, Spike, among many others.
BoxyHQ's answer
BoxyHQ uses the following technologies: - Next.js - PostgreSQL - Docker - Kubernetes
Based on our record, Jupyter seems to be more popular. It has been mentiond 206 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
Skyflow - Skyflow’s data privacy vaults deliver security, compliance and governance via a simple API
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Frontegg - Elegant user management, tailor-made for B2B SaaS
Google BigQuery - A fully managed data warehouse for large-scale data analytics.