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How to build a successful risk mitigation strategy

IBM Big Data Hub

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 74
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

Risk 77
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Risks and Necessary Precautions Regarding Employee Data Leaks

Smart Data Collective

But in most instances, the real risk comes from within. From conversing on personal devices (BYODs) to sending documents to the wrong recipient, or using unsecured applications for transfers, the risk for potential leaks is high. Around 66% of all data leaks are caused by employees making mistakes with digital records.

Risk 121
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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. These observations would have spanned a distribution, which the model leveraged to make its forecasts.

Risk 59
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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

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Accelerate hybrid cloud transformation through IBM Cloud for Financial Service Validation Program

IBM Big Data Hub

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.