Transform the inherent risks of human operations into an adaptive defense layer.

By analyzing vast streams of live market signals alongside transaction patterns and behavioral data, BTXBanc’s AI engine ...

The strategic embrace of AI is no longer a futuristic aspiration but the linchpin of contemporary risk management.

Public cloud providers excel at scalability and innovation, but they aren’t immune to outages, latency issues, or cybersecurity risks. Organizations that fail to prepare for such possibilities become ...

Despite the growing volume of literature, the authors argue that current research efforts fall short in one crucial respect: ...

But now, enterprises are beginning to question if these general-purpose AI models can actually support their specific business goals. A recent McKinsey survey found almost three quarters of ...

We speak to security experts about how IT departments and security leaders can ensure they run artificial intelligence systems safely and securely.

An analysis of pooled data from two large finerenone trials identified key risk factors for hyperkalemia in patients with CKD and diabetes, potentially helping clinicians tailor treatments.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Robust insurance can promote deeper liquidity, enhanced counterparty confidence, and broader participation in decentralized finance, says Jesus Rodriguez, CTO, Sentora.

Risk models are foundational tools in modern portfolio management. They help identify where risk is coming from, whether it is excessive, and where performance surprises might originate.

The widely accepted software-as-a-service (SaaS) delivery model contains significant flaws and is “quietly enabling cyber attackers”, introducing widespread vulnerabilities that could ...