Privacy & Security
DSPM and DDR are emerging technologies that many vendors claim to offer. However, the lack of sufficient analyst research and customer testimonials around these technologies makes them hard to evaluate. This guide provides a framework for security leaders to evaluate DSPM and DDR technologies, based on the challenges you are looking to address.
Digital environments have become increasingly complex as employees use external AI engines and large language models to analyze data, which is creating a very stressful situation for security teams. Organizations should embrace the proactive capabilities of DSPM before it’s too late.
Implementing a data loss prevention (DLP) solution is challenging for many organizations, and even the most mature security programs struggle to realize the full capabilities of these tools.
BRIDGE – Blueprint for Resilient Integration and Deployment of Guided Excellence – is meant to be an "evidence-based framework that health systems can rely on to not just adopt AI but to help scale it across their operations."
The Digital Medicine Society's seal aims to evaluate health application products' baseline security, usability and clinical return on investment to help decision-makers scrutinize which tools are best for patient care.
The coalition's new draft certification frameworks, which could be finalized in six months after more stakeholder feedback, offer a way forward for artificial intelligence assurance labs and basic model transparency.
The electronic health record giant says that it did not violate federal law prohibiting unfair business practices when it raised concerns about certain patient data requests over the Carequality interoperability framework.
Privacy-enhancing technologies can help healthcare organizations ensure the safe use of AI-enabled analytics, machine learning and other advanced data applications, say the cofounders of Duality.
Cybersecurity In Focus
How is artificial intelligence being used to identify anomalies in sensitive healthcare data to safeguard patient information? What are best practices for enhancing cybersecurity through AI and ML? An expert answers those questions and others.
The Boston health system built specialized space for evaluating and deploying large language models for research and operations. Renato Umeton, director of AI operations and data science services at Dana-Farber Cancer Institute, explains why and how.