As digital transformation and hyper-convergence create unintended gateways to risks, vulnerabilities, attacks, and failures, a cyber resiliency strategy quicky becomes necessary for your business. A cyber resiliency strategy helps your business to reduce risks, financial impact and reputational damages. Kyndryl’s cyber resiliency best practices, advanced technologies and expertise help you defend against those risks, protects your business-critical applications and data, and helps accelerate recovery from data breach or similar disruption. Kyndryl’s Cyber Resiliency Services helps protect platform configurations and applications data by using air-gapped protection, immutable storage, and anomaly detection while orchestrating rapid and reliable recovery at the disaster recovery (DR) site. Explore five key technologies for enabling a cyber-resilience framework
Development Environment
Pick a development environment of your choice
notebookby jupyter
Jupyter Interactive Notebook
notebookby jupyter
Jupyter Notebook 10204 Version:v7.0.0b4 License: Permissive (BSD-3-Clause)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python 23755 Version:v1.25.0rc1 License: Permissive (BSD-3-Clause)
Python Library
Pandas and numpy are the powerful python library.
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)