Finance leaders across APAC face growing compliance pressure as fragmented systems create data integrity risks in multi-entity financial reporting.

Generative AI is raising the risk of dangling DNS attack vectors, as the orphaned resources are no longer just a phishing ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Gigasoft recommends Claude Opus 4.6 Extended with the Projects feature for the best results. With ProEssentials knowledge files loaded, Claude can answer technical support questions and write ...

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

AI is moving from copilots to autonomous systems, and enterprises need infrastructure built for that shift. The Dell AI Factory with NVIDIA delivers a validated, end-to-end AI stack spanning ...

Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—mor ...

Governance-as-a-service for Semantic Kernel agents. Cryptographic action verification (ALLOW/CLAMP/DENY), hash-chained provenance, intent-command binding, and compliance bundles. SK agents taking real ...

If a business wants to take advantage of the benefits provided by artificial intelligence and automation, then there must be a strong focus on data governance. It is the foundation that unlocks data ...

Abstract: This study addresses the challenges of urban energy system governance under China's “dual-carbon” goals, focusing on Chengdu. Traditional models struggle with highdimensional data ...