Author: Neelesh Pednekar

As companies push LLM-powered agents into payments and customer support, a dangerous gap has emerged: these agents can be manipulated in real time, and most fraud systems weren’t built to catch it. New research points to lightweight detection layers that could plug the hole — if enterprises know to ask for them.

A new knowledge-driven approach pairs large language models with domain expertise to diagnose manufacturing defects — and explain why. For Indian manufacturing leaders eyeing AI adoption, explainability is no longer optional; it’s the key to regulatory compliance and shop-floor trust.

The billionaire entrepreneur behind Jet.com claims AI can now handle everything from menu creation to customer acquisition for new restaurants. For Indian CIOs and founders, this signals a fundamental shift in where value sits in the food business stack.

A new research paper shows large language models coordinating real-time drilling decisions across messy industrial data. Energy CIOs now face a procurement puzzle: these systems need both IT and operational technology budgets.

AI agents built for big data operations are shifting from demos to production deployments, promising automated incident response and admin tasks. But CIOs who rush in without updated runbooks and access controls risk creating new problems while solving old ones.

Every tool call your AI agent makes costs money, adds latency, and introduces a potential point of failure. A new framework for optimizing these decisions is forcing CIOs to rethink their agentic architecture from the ground up.

A new security report reveals that AI agents can escalate their own privileges after exposure to ordinary content, no malicious prompt required. This subtle attack vector is forcing enterprises to treat every deployed agent as a live security risk.

Decentralized reputation systems for AI agents are emerging as enterprises struggle to trust autonomous software from third-party vendors. This could reshape how companies buy, deploy, and govern agentic AI — with reputation becoming as important as capability.