Secure Cloud Storage for Files, Photos and Documents | pCloud
Store, access, and manage your files on your own terms, from anywhere.
Store, sync, and share your files securely with pCloud. Get up to 10 GB of free secure cloud storage and access your files from any device, anywhere.
Learn More
ACI Learning: Internal Audit, Cybersecurity, and IT Training
Proven skill building for every aspect of your support or IT team.
Traditional training doesn't equip employees with the practical skills they need to drive business success. ACI Learning provides hands-on IT and cybersecurity training designed to build real-world, on-the-job skills. Our outcome-based programs empower employees with certification prep, industry-recognized credentials, and flexible learning options. With expert-led video training, labs, and scalable solutions, we help businesses, individuals, governments, and academic institutions develop a skilled workforce, align with business goals, and stay ahead in a rapidly evolving digital world.
Physhun is a Java framework for building and executing finite state machines in J2SE and J2EE environments. State models are defined as collections of Spring beans, and do not use proprietary modeling languages. The framework is simple and flexible.
a framework library with a template method interface and inheritable classes for an executable process design which produces an executable which is both a GUI and a console application. It provides multi-threading for work items of the provider process .
Java Framework for automatic transformation of graph structured Process Models (incl. BPMN import) to block structured BPEL code. A graphical tool is provided for visualisation and testing.
Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.
Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.
Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
MetaDiff framework is an extensible comparison solution for modelling artifacts. Framework supports convenient way to add new implementations of comparison and matching algorithms and provides practical way of working with different meta-models.