Kyndryl has introduced a new “policy as code” feature designed to help organizations scale agentic AI effectively while ensuring compliance with regulations. This capability transforms organizational rules and regulatory requirements into machine-readable policies governing AI agents’ operations, minimizing compliance risks and enhancing operational control.
India is placing inclusive artificial intelligence at the core of its Viksit Bharat 2047 vision, focusing on expanding access to computing power and datasets while deploying AI in sectors such as agriculture, healthcare, and governance. The upcoming India–AI Impact Summit 2026 will highlight this inclusive model, uniting global leaders to discuss AI governance and equitable growth.
This article explores Microsoft’s implementation of the Model Context Protocol (MCP), highlighting strategies for securing AI conversations through governance, risk management, and continuous monitoring to ensure safe communication across AI systems and data.
As artificial intelligence becomes increasingly integrated into broadcasting, regulators and broadcasters must prioritize ethical standards over efficiency to preserve credibility, accountability, transparency, and the protection of individual identities.
The Deepfake Summit explores the impact of AI-driven impersonation on identity ecosystems, addressing urgent challenges in fraud prevention and trust. It brings together leaders from various sectors to develop strategies and solutions for navigating the evolving landscape of deepfakes and synthetic identities.
A report released before the India AI Impact Summit 2026 highlights concerns over AI governance in India, particularly regarding its use in hate speech dissemination and mass surveillance. It calls on summit leaders to enforce regulations, prohibit AI-driven mass surveillance, and include marginalized communities in AI governance discussions.
Mortgage lenders face increasing pressure to implement AI governance frameworks due to growing regulatory uncertainty in the United States. Effective risk management depends on operational governance, accountability for AI outcomes, and vendor risk oversight.
Regulating advanced AI requires a strategic, long-term approach akin to chess rather than a reactive one like checkers. The United States must harmonize state and federal efforts to maintain its competitive advantage in this vital technology, ensuring both innovation and safety.
The India–AI Impact Summit 2026 in New Delhi addresses critical topics such as employment, sustainable AI, and the ethical challenges of narrative warfare. As generative AI increases the risk of misinformation, these issues pose significant national security concerns in a nuclearized region.
UN Secretary-General António Guterres will attend the AI Impact Summit 2026 in New Delhi, the first major global gathering on artificial intelligence in the Global South. The summit will explore how AI can support sustainable development, safeguard human rights, and address emerging risks.
