Who’s responsible when AI acts on its own?

When an AI acts independently, such as executing trades, approving loans or negotiating contracts, the question isn’t just what went wrong, but who’s responsible. That question is becoming more urgent as AI shifts from advisory to agentic systems that plan and execute multistep tasks autonomously. When those agents go off-script, accountability can’t be an afterthought.…

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Cyber resilience in the age of AI conflict

In 2024 alone, phishing campaigns drove an 84% increase in infostealer malware through email¹. Stolen credentials also rose by 42% year-on-year¹.  These are not incremental changes; they signal a structural transformation in enterprise risk. For CIOs, CISOs, and boards, the implications are clear. Cybersecurity is no longer an IT function to be managed in isolation.…

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ServiceNow’s Apriel 2.0 promises smarter AI with less hardware — but offers no benchmarks

ServiceNow has announced an updated version of its Apriel open-source language model. The model is built on Nvidia’s Nemotron framework and targets financial services, healthcare, and telecommunications industries, where regulators have made IT leaders cautious about proprietary AI systems, the company said in a statement. ServiceNow said Apriel 2.0 delivers reasoning comparable to much larger…

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Developing an approach for industry LLMs

This article was co-authored by Sourav Kamila, Enterprise Architect, Wipro Limited. Industry foundational models (sometimes businesspeople use the term industry LLMs) are specialized AI models that are fine-tuned or pre-trained to excel in a particular field or sector, such as healthcare, finance, legal, manufacturing or retail. These models are designed to deeply understand the jargon,…

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