Risk Management

How to ensure compliance in regulated environments

Organizations that work in a highly regulated industry such as medical/health, pharmaceutical, security, automotive, aerospace, and defense, know how important it is to comply with standards and regulatory requirements. In order to meet regulations, manufacturers must maintain strict control over the development process, from testing to maintenance, and release. Xray test management app is a powerful test management app that can help you meet compliance and regulations in your industry.

Replacing the FMEA Risk Assessment: How to Manage Risk in an Agile World

Product failures and defects can occur on many different shapes and levels, impacting any part of the user experience, functionality, and even safety. In the past, organizations were taking the approach of of Failure Mode and Effects Analysis (FMEA) for risk assessment. This allowed teams to identify and prevent failure before a product or update is released.

Optimizing Risk and Exposure Management - Roundtable Highlights

We recently hosted a roundtable focused on optimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. In this session we explored what firms are doing to approach the uncertainty with more predictability.

Insights from CollabraLink: Defining Culture-Driven Enterprise Risk Management

As young children, our parents do their best to protect us from harm. We’re taught not to play in the road or speak with strangers. As we grow and our environment changes, these foundational lessons guide us even when we are old enough to know better than to touch a hot stove.

What risk managers need to know about AI governance

As more businesses begin to realize the full potential of AI to deliver business results from their data, they're starting to bump up against their ability to manage it all. As the amount of data and number of models grow, organizations can accrue significant technical debt. Chief risk officers (CROs) and model risk managers can be left asking themselves, "Do I spend more to keep up with model demand, or do I accept more risk?"

Recalibrating Enterprise Risk Management in Response to Crisis

COVID-19 and its impact have demonstrated that change can be rapid, disruptive, and non-negotiable. This is especially relevant to enterprise risk management, where the challenge can be summed up in one word: recalibration. Many financial institutions have been investing in model-driven analysis and data-anchored approaches. We know that the models themselves must adapt as situations change. But what about the processes and policy governance that surround these models?