
Duo Security
Google Authenticator
Authy
Lastpass
Azure Multi-Factor Authentication
OneLogin
Okta
Ping Identity
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Duo Security
Scikit-learnScikit-learn might be a bit more popular than Duo Security. We know about 40 links to it since March 2021 and only 33 links to Duo Security. 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.
Take for example a university. Many of them seem to use Duo[1], which is not something you can replace with Google Authenticator or other TOTP app. They require it for students as well as faculty and staff. Is it reasonable for them to have to provide a device to all those people, forcing them to carry two devices around, and then also deal with replacing lost or broken devices? The cost of this would simply be... - Source: Hacker News / 10 days ago
The Solution: There are not only one solution to achieve the goal, but this time we choose Cisco Duo as the MFA infrastructure. - Source: dev.to / 5 months ago
Duo.com โ Two-factor authentication (2FA) for website or app. Free for ten users, all authentication methods, unlimited, integrations, hardware tokens. - Source: dev.to / over 2 years ago
You could use Duo - https://duo.com/. It can be set to require MFA when logging in locally or only when logging in via RDP (or both). It's free for up to 10 users. Source: about 3 years ago
A quick google tells me that Duo is a 2FA service from Cisco. Maybe that's what Anet is using to manage the 2FA in the launcher behind the scenes? Source: about 3 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Google Authenticator - Google Authenticator is a multifactor app for mobile devices.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.
NumPy - NumPy is the fundamental package for scientific computing with Python
Lastpass - LastPass is an online password manager and form filler that makes web browsing easier and more secure.
OpenCV - OpenCV is the world's biggest computer vision library