IBM has launched a tool designed to help customers assess cloud-sovereignty risks and meet regulatory compliance requirements.
The Sovereignty Risk Profile launch comes as digital sovereignty becomes a higher priority for organizations concerned about where data is stored and processed. According to an IBM survey, 93% of executives believe sovereignty needs to be part of their business strategy.
Via the new tool, customers can set up policies related to regulatory and business requirements — such as where data resides and how it’s protected, for instance. These policies can be applied to specific cloud workloads, regions, or zones in the Sovereignty Risk Profile tool, allowing users to track sovereignty requirements “in real time,” IBM Cloud product manager Janet Van said in a blog post, with “visibility into configurations, encryption posture, and environmental controls.”
It’s then possible to assess compliance and decide what workloads meet sovereignty requirements.
Tracking the
Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthcare, and communications where a cyberattack could affect 100 million people.
Most enterprises already have access to AI models, so that is no longer the differentiator. The real challenge begins after the demo ends. Organizations are now trying to determine how AI agents interact with ERP systems, supply chains, approvals, security policies, customer records, and operational environments that were never designed for autonomous systems. The reality is that ERP remains the system of record for many business decisions. If AI agents cannot operate within ERP governance, approval, and transaction frameworks, they remain assistants rather than operational participants.
What makes this interesting is that Snowflake is not positioning itself as another AI platform vendor. The company is positioning itself to be the governance and orchestration layer that enterprises will build agentic AI around. Horizon Context, Semantic Studio, Cortex Sense, Coco, Cowork, Apache Iceberg interoperability, Model Context Protocol (MCP) connectivity, and the company’s broader AI security
The post k-ID Leverages Manus AI to Simplify Global Child Safety Compliance appeared on BitcoinEthereumNews.com.
Peter Zhang
May 29, 2026 22:31
k-ID partners with Manus to streamline regulatory compliance across 200 countries using AI-powered tools, addressing evolving global child safety laws.
Singapore-based startup k-ID, known for its cutting-edge compliance solutions for child safety, has integrated Manus’s AI-powered platform to tackle the increasingly complex web of global regulations. With child data protection laws tightening worldwide, including the recent COPPA amendments in the U.S., k-ID’s collaboration with Manus aims to simplify compliance for digital platforms operating across 200 countries. k-ID’s core mission is to help game studios and tech companies create age-appropriate user experiences while adhering to regulations like COPPA, the UK Age-Appropriate Design Code, and GDPR. The company’s Global Compliance Engine offers API-based tools to dynamicall
The post NVIDIA’s MCG Toolkit Automates AI Model Documentation in Minutes appeared on BitcoinEthereumNews.com.
Ted Hisokawa
May 29, 2026 16:50
NVIDIA’s MCG Toolkit streamlines AI model documentation, addressing regulatory compliance with automated, auditable outputs under one minute.
NVIDIA (NASDAQ: NVDA) has unveiled the Model Card Generator (MCG) Toolkit, a fully automated system designed to streamline AI model documentation. With regulatory frameworks like California’s AB-2013 and the EU AI Act tightening oversight, the toolkit addresses a critical need for auditable, comprehensive documentation—an essential component for deploying AI models at scale. Model cards, which outline a model’s intended use, limitations, and performance, are vital for ensuring transparency and compliance. However, creating these documents manually is time-consuming, error-prone, and often lags behind model releases. NVIDIA’s MCG Toolkit automates the process, generating standardized Model
A new Quantus report says the crypto industry is not moving fast enough to prepare for quantum computers that could break today’s signature systems. The report warns that bitcoin, ethereum, and other major networks face a difficult migration problem because public keys live permanently on-chain. Google and IBM Advances Push Bitcoin Quantum Threat Closer Quantum […]
Aptos' integration into Vertalo enhances regulatory compliance in tokenized assets, potentially shifting market dynamics and influencing future policies.
The post Aptos integrated into Vertalo Securities Protocol for regulated asset management appeared first on Crypto Briefing.
Open source code is everywhere in the enterprise; it’s estimated that upwards of 90% of Fortune 500 companies have it in their software supply chains. But open source code is notoriously rife with vulnerabilities, and identifying and patching those bugs can be an endless battle for security teams.
IBM and Red Hat are betting that a new initiative, Project Lightwell, can help accelerate this process.
Announced today, the project will commit $5 billion and 20,000 IBM and Red Hat engineers to build a new ‘enterprise clearinghouse’ to accelerate discovery and remediation of vulnerabilities in open source software. The companies say the clearinghouse will serve as an AI-powered “security coordination layer,” giving enterprises the ability to integrate patches directly into their existing software supply chains.
Now in the design phase with a group of 11 financial partners, Project Lightwell will eventually be offered as a commercial subscription.
“The advancement in AI tools has broken the