The Pure AI Blog Short Dispatches from AI's Front Lines
The Pure AI Blog is researched, fact-checked, edited and updated by the editors of PureAI.com, with writing assistance from AI. To submit your company's press release for consideration, contact [email protected].
Netzilo, a next-gen AI security provider, has introduced updates to detect Shadow AI as an addition to its AI Edge Platform, an MCP tool designed to help organizations detect and manage activity across enterprise systems. The platform provides visibility into unauthorized or unmanaged AI tools being used within corporate environments, along with governance controls to regulate how those tools access data. The system also includes detection and response capabilities intended to help security teams identify and mitigate risks associated with unsanctioned AI usage. Netzilo AI Edge gives enterprises the visibility to understand AI, control MCP tools and detect and respond to AI native threats, in a single unified platform.
By incorporating model context protocol (MCP) tooling to manage interactions between AI systems and enterprise data sources, the goal is to give organizations greater control over how AI applications are deployed and used across distributed environments. Security teams are increasingly concerned about shadow AI, as employees adopt generative AI tools without formal oversight. Netzilo AI Edge, with its new update, is now available to enterprises seeking secure, scalable deployments for AI technologies.
Posted by Pure AI Editors on 03/23/20260 comments
WordPress.com, a hosted website platform, has introduced a capability that allows AI agents, including ChatGPT, Claude and Cursor, to take direct actions on hosted websites through conversational interfaces. The feature enables users to perform tasks such as updating content, managing site settings and executing administrative actions using natural language prompts. The system connects AI agents to WordPress.com through APIs, allowing them to translate user requests into site changes without requiring manual navigation of the platform. The updates allow users to instruct AI agents to draft and publish blogs, edit or update existing content, create new pages, manage site content and more, all through natural language conversing.
The update is designed to streamline website management by reducing the need for users to interact with traditional dashboards. WordPress.com said the approach allows developers and site owners to integrate AI-driven workflows into content and site operations. Enterprises are increasingly exploring ways to connect AI assistants to operational systems, enabling automation of routine tasks through conversational interfaces. WordPress.com's MCP write capabilities are available and compatible with any MCP-enabled AI agent for all paid WordPress.com plans.
Posted by MedCloudInsider Editors on 03/23/20260 comments
Ironclad, an AI contracting company, has introduced an artificial intelligence assistant and a set of AI agents designed to help organizations manage and analyze contracts more efficiently. The new tools enable users to extract key information from agreements, answer questions about contract terms and automate routine legal workflows. The AI assistant is intended to help legal and business teams interact with contract data more directly, while agents can perform tasks such as reviewing documents and tracking obligations. The Ironclad Assistant allows teams to conversationally interact with contracts, signed or in motion, by asking complex questions and receiving grounded answers. The assistant tracks data, summarizes risks and can initiate workflow-native agents.
In addition to the Ironclad Assistant, three other agents were also launched. These include Renewal Agent, Cost Savings Agent and Archive Agent. Ironclad focuses on contract lifecycle management software used by enterprises to create, negotiate and manage agreements. The new AI capabilities are designed to integrate into existing workflows and improve how organizations handle large volumes of contracts. Legal teams are increasingly adopting AI tools to streamline contract review and reduce manual work.
Posted by Pure AI Editors on 03/23/20260 comments
Milestone Systems, a leader in data-driven video technology, announced a new artificial intelligence platform designed to support security operations using data from real-world environments. The updates include AI Search, Video Summarization and Video Anonymization. The platform is built on video data collected from its network of deployed systems, enabling AI models to analyze surveillance footage and identify potential security events. The approach is intended to improve detection accuracy and reduce false positives in monitoring scenarios. Milestone's compliant data library, the foundation of its gen AI solutions, uses NVIDIA technology to tag categorizations.
Milestone, known for its video management software, said the new capabilities are designed to integrate with existing security infrastructure, allowing organizations to enhance video analytics without replacing core systems. The platform focuses on helping security teams detect incidents, investigate events and respond more quickly. Organizations are increasingly adopting AI-driven video analytics to manage large volumes of surveillance data.
Posted by Pure AI Editors on 03/23/20260 comments
Shipsy, a provider of AI-native solutions for logistics, has introduced AgentFleet, a platform that uses artificial intelligence agents to automate logistics and supply chain operations. The system deploys AI agents to manage tasks such as shipment planning, routing, tracking and exception handling. These agents are designed to coordinate across logistics workflows, helping organizations respond to disruptions and optimize delivery performance. AgentFleet works alongside human teams to monitor signals, make decisions within defined rules and execute tasks across systems.
Shipsy focuses on logistics management software used by enterprises to oversee transportation and supply chain processes. The new platform is intended to integrate with existing systems and enable more automated decision-making across operations. Logistics providers are increasingly adopting AI to manage complex, real-time supply chain environments.
Posted by Pure AI Editors on 03/23/20260 comments
Qt Group, a global software company, announced it has joined NVIDIA Halos AI Systems Inspection Lab, an initiative focused on advancing safety for artificial intelligence systems operating in physical environments. The software development framework will support the creation of user interfaces and system controls for AI-driven applications in areas such as robotics, industrial automation and autonomous machines. By participating in the Halos initiative, Qt aims to contribute to safety-focused development practices for systems that interact with the physical world. The move signals Qt Group's aim for Axivion, a tool that handles CUDA C++ extensions specifically, to become the preferred tool within Halos for GPU software standard monitoring.
NVIDIA Halos is designed to bring together hardware, software and ecosystem partners to address safety challenges in physical AI, where systems must operate reliably in real-world conditions. Qt’s tools are commonly used to develop embedded and human-machine interface applications across industrial and automotive systems. As AI adoption expands beyond digital applications into physical environments, safety and reliability have become key concerns. Qt group said, "by joining the NVIDIA Halos ecosystem, we are committing to help manufacturers treat safety as something built in from day one, not something proved at the last minute."
Posted by Pure AI Editors on 03/19/20260 comments
VAST Data, an AI operating system company, announced expanded support for NVIDIA AI Blueprints with the availability of VAST Foundation Stacks, an open-source library that extends blueprints into implementations. The data platform is designed to integrate with NVIDIA’s reference architectures and software frameworks, enabling enterprises to build and scale AI workloads more efficiently. The integration focuses on providing high-performance data access for model training and inference, which are critical for large-scale AI deployments. The first Foundation Stacks are based on NVIDIA AI Blueprints for Video Search and Summarization and NVIDIA AI-Q as the initial launches. VAST plans to release additional Foundation Stacks in the coming months that include industry-focused examples.
VAST Data’s platform combines storage, data management and analytics capabilities to support AI and high-performance computing environments. By aligning with NVIDIA Blueprints, the company aims to simplify how organizations deploy infrastructure for generative AI and other advanced workloads. Enterprises are increasingly adopting preconfigured AI architectures to reduce the complexity of building infrastructure from scratch. Foundation Stacks will be available through a public GitHub repository with interactive demos and sandbox environments for customers.
Posted by Pure AI Editors on 03/19/20260 comments
Delta Electronics, a leader in power management and smart green solutions, introduced new artificial intelligence-driven digital twin applications built on NVIDIA Omniverse, focusing on industrial and building automation use cases. The AI digital twins merge physical conditions, sensors and automated controls with photorealistic simulations to arrive at an optimized power-saving solution. By combining real-time data with simulation, the platform is designed to support predictive maintenance, energy management and process optimization.
Delta demonstrated the applications at NVIDIA’s GTC event, highlighting use cases in smart manufacturing and intelligent building systems. The integration with NVIDIA Omniverse enables high-fidelity simulation and visualization of complex environments. Industrial organizations are increasingly adopting digital twin technology to improve operational efficiency and reduce downtime.
Posted by Pure AI Editors on 03/19/20260 comments
Field AI, specialists in deploying general-purpose robots in unstructured environments, announced an expanded collaboration with NVIDIA aimed at accelerating the adoption of artificial intelligence in industrial operations. The is working with NVIDIA to integrate its AI software with NVIDIA’s computing platforms to support automation in sectors such as manufacturing, logistics and field operations. The collaboration focuses on enabling AI systems that can interpret real-world environments and support decision-making in complex industrial settings. By integrating NVIDIA Omniverse libraries to its development pipeline, Field AI aims to deliver demonstratable customer value in environments once deemed too unpredictable for robots. The aim is to support operational insight towards producing a more capable robotic system.
Field AI develops AI-driven systems designed to power autonomous operations, including robotics and field-based workflows. By leveraging NVIDIA’s GPUs and AI frameworks, the company aims to improve performance and scalability for industrial AI deployments. Industrial organizations are increasingly exploring AI to automate physical operations and improve efficiency. FieldAI is also adopting the NVIDIA Physical AI Data Factory Blueprint via the Microsoft Azure toolchain to streamline their synthetic data pipeline and robot training using NVIDIA Cosmos open world foundation models and NVIDIA OSMO.
Posted by Pure AI Editors on 03/19/20260 comments
R Systems, a global product engineering and digital solutions provider, has introduced EXIQO, a platform aimed at helping enterprises integrate and scale agentic artificial intelligence across development and business operations. EXIQO is an AI studio designed to support the deployment of AI agents that can automate tasks, assist with software development and interact with enterprise systems. The platform focuses on integrating AI capabilities into existing engineering workflows to improve productivity and reduce development cycles. EXIQO is built on three pillars: AI native engineers, OptimaAI and delivery methodology, built to accelerate engineering velocity and deliver governed, enterprise-grade execution at scale.
EXIQO enables organizations to orchestrate AI agents across different environments while maintaining governance and control over how models access enterprise data. The platform is intended to support use cases such as code generation, testing and operational automation. Enterprises are increasingly exploring agentic AI systems that can perform multi-step tasks and support software engineering processes. R Systems said, "EXIQO reflects a pragmatic approach, combining talent, platform and a governed methodology to help organizations scale agentic AI with confidence."
Posted by Pure AI Editors on 03/18/20260 comments