Curated articles, resources, tips and trends from the DevOps World.
Montana Governor Greg Gianforte signed Senate Bill 384, the Montana Consumer Data Privacy Act (MTCDPA), on May 19, 2023. The consumer privacy law will become effective on , and requires covered entities that process personal data to comply with several transparency and disclosure obligations.
Amazon Q feature development enables teams using Amazon CodeCatalyst to scale with AI to assist developers in completing everyday software development tasks.
Security questionnaires represent the cornerstone of most third-party risk management (TPRM) programs. They allow organizations to responsibly appraise a vendor's security posture before they move forward with onboarding and grant the vendor access to internal systems and data.
A Vendor Risk Management framework is the skeleton of your VRM program. Without it, your Vendor Risk Management program will collapse under a heavy burden of inefficient processes.
As digital transformation continues to multiply pathways to personal data, complete GDPR compliance is getting harder to attain.
The Internet has a plethora of moving parts: routers, switches, hubs, terrestrial and submarine cables, and connectors on the hardware side, and complex protocol stacks and configurations on the software side.
Telehealth or telemedicine is one of the most common ways of providing healthcare services in the EU, with nearly 77% of countries adopting some type of telehealth service.
We are living in the generative artificial intelligence (AI) era; a time of rapid innovation. When Anthropic announced its Claude 3 foundation models (FMs) on March 4, we made Claude 3 Sonnet, a model balanced between skills and speed, available on Amazon Bedrock the same day.
The landscape of application development is rapidly evolving, propelled by the integration of Artificial Intelligence (AI) into the development process.
The NIST Artificial Intelligence Risk Management Framework (AI RMF) is a recent framework developed by The National Institute of Standards and Technology (NIST) to guide organizations across all sectors in the use of artificial intelligence (AI) and its systems.
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