Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
A governance layer (VirtueGov) helps businesses enforce standards, uphold compliance requirements and meet internal policies across AI deployments and agents. The platform also includes tools to ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
When a major breach occurs, firms like Mandiant (now part of Google) or CrowdStrike act as the digital cavalry. They track advanced persistent threats (APTs) with a level of detail that rivals the ...
Progress against fraud depends on shared accountability, a common language for risk tolerance and ongoing feedback loops.
The rise of AI agents in everyday banking represents a transformative shift in how financial services are delivered and experienced. By enabling autonomous transaction handling, intelligent ...
Findings show that the underground marketplace for illicit AI tools has matured, lowering the barrier for less sophisticated actors ...
Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...
David Morris, Pay.UK’s chief operating officer, stated: “Romance fraud is on the rise, accounting for 35% of fraud cases in the first half of 2025, and we are likely to see another spike around ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...
Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic ...
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