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].
Swoogo, an event management platform, has launched a native Model Context Protocol (MCP) server designed to connect live event data with artificial intelligence tools and agent-based systems. The MCP server allows AI agents to access real-time event information, including attendee data, session details and engagement metrics. This enables organizations to integrate event data into AI-driven workflows, such as personalization, analytics, and automation. Swoogo's MCP server offers event teams conversational data access, AI-powered event builds, and cross-event intelligence.
Swoogo provides event management software used by organizations to plan and execute conferences and corporate events. By exposing its data through MCP, the platform aims to support automated interactions and decision-making based on live event activity. Enterprises are increasingly looking to connect operational data sources to AI systems that can take action across workflows.
Posted by Pure AI Editors on 04/06/20260 comments
A group of former CrowdStrike leaders has launched Bltz AI, a security platform focused on protecting enterprises as they adopt artificial intelligence and agent-based systems. The platform is designed to secure agentic environments, where AI agents interact with enterprise data, applications and infrastructure. Bltz AI aims to provide visibility into how AI systems operate, enforce policies and detect potential threats associated with automated decision-making. The focus is on delivering agentic AI security focused on defensive measures integrating network runtime protections, pre-deployment identification, and remediation and AI governance automation.
According to the company, the platform focuses on managing risks such as unauthorized data access, misuse of AI agents and vulnerabilities introduced by integrating AI into operational workflows. The goal is to help organizations adopt AI technologies while maintaining security and governance controls. Security teams are increasingly concerned about the risks introduced by AI agents, which can expand the attack surface and operate across multiple systems. Bltz AI's comprehensive solution provides a robust foundation for organizations to navigate the complexities of AI while maintaining security and governance standards.
Posted by Pure AI Editors on 04/02/20260 comments
Rebellions, a South Korean semiconductor company that develops and designs AI chips, has raised $400 million in a pre-IPO funding round and introduced new modular infrastructure systems designed to support large-scale AI inference deployments. The funding, led by Mirae Asset Financial Group and supported by the Korea National Growth Fund, brings total capital raised to $850 million and values the company at approximately $2.34 billion. The investment will support expansion into the U.S. market and scaling production of its AI inference platform.
Rebellions also introduced RebelRack and RebelPOD, systems designed to deliver preconfigured AI infrastructure that can be deployed and scaled across data center environments. The platforms are built on the company’s Rebel100 NPU and integrated with an open-source software stack for distributed inference.
The announcement reflects a broader industry shift toward inference efficiency and deployable infrastructure. As enterprises move AI workloads into production, demand is increasing for systems optimized for performance, power consumption and integration with existing data center environments. Rebellion's software-centred approach reflects the company's goal to redefine AI infrastructure and drive global growth.
Posted by Pure AI Editors on 04/02/20260 comments
Saviynt, which provides a cloud-native identity governance platform, has unveiled an identity control plane for managing access and governance for AI agents in enterprise environments. The platform extends identity security principles to AI systems, enabling organizations to define and enforce policies governing how agents access data, applications and services. The approach is intended to provide visibility into AI activity and ensure that agent actions align with security and compliance requirements. The platform embeds trust across Identity Security Posture Management (ISPM) for AI, identity lifecycle management and agent access gateways.
Saviynt focuses on identity governance and administration, and the new offering is designed to address emerging risks as AI agents begin interacting with enterprise systems. The platform aims to track permissions, monitor behavior, and control access across distributed environments. Security teams are increasingly focused on identity as a central control point for managing AI risk. Saviynt aims to support the full enterprise ecosystem, giving security teams a complete view of AI-related risks across their environments.
Posted by Pure AI Editors on 04/01/20260 comments
ExtraHop, a Seattle-based cybersecurity company specializing in Network Detection and Response (NDR), announced updates to its platform aimed at helping organizations secure artificial intelligence deployments across enterprise environments. The company's NDR technology is designed to provide visibility into AI-related traffic, including interactions among applications, services, and AI agents. The platform focuses on identifying potential risks such as unauthorized data access, anomalous behavior, and emerging attack paths associated with AI systems. The update assists with AI asset inventory to map AI attack surfaces, AI observability with anomalous activity in real time, AI threat detection against sophisticated adversaries, and AI governance to maintain forensic visibility into shadow AI and policy compliance.
ExtraHop's approach is intended to support what it describes as an “agentic enterprise” in which AI agents interact with multiple systems and data sources. The platform aims to help security teams monitor these interactions and enforce policies across distributed environments.
Posted by Pure AI Editors on 04/01/20260 comments
1inch, a crypto trading platform, has introduced support for artificial intelligence agents to access its API suite, enabling automated interaction with decentralized finance (DeFi) services. The integration uses the Model Context Protocol (MCP) to allow AI agents to perform tasks such as token swaps and transaction execution through natural language or programmatic workflows. The approach is designed to let AI systems interact directly with blockchain-based services without requiring manual user input. The 1inch MCP provides agent-native execution and automation, faster workflows, living, searchable documentation and seamless integration with broad compatibility.
1inch operates a decentralized exchange aggregator that routes trades across multiple liquidity sources. By exposing its APIs to AI agents, the company aims to support automated trading strategies and workflow-driven financial operations. The move reflects growing interest in combining AI agents with financial platforms to automate decision-making and execution.
Posted by Pure AI Editors on 03/30/20260 comments
Casinofy, a next-gen online casino platform, has unveiled a redesigned platform that incorporates artificial intelligence–powered chat capabilities, aimed at improving user interaction and operational efficiency. The updated platform integrates AI-driven chat features that can assist users with navigation, account questions and general support tasks. The system is designed to automate customer interactions and provide real-time responses within the platform environment. Casinofy's AI chat is designed to enhance the player's journey, making it one of the more sophisticated implementations of AI in the modern gaming world.
Casinofy said the redesign also focuses on improving the overall user experience, including interface updates and performance enhancements. The AI component is intended to reduce reliance on manual support while streamlining common user workflows. Online platforms are increasingly adopting AI chat tools to handle customer engagement and support at scale. The redesigned platform and AI chat features are now officially live for players to experience.
Posted by Pure AI Editors on 03/30/20260 comments
Matrix, a global technology and digital transformation leader, announced it is expanding its global partnership with Dataiku, a platform for AI success, to the Americas, aiming to help organizations accelerate data modernization and artificial intelligence initiatives. The expanded collaboration will focus on delivering Dataiku’s AI and machine learning platform to enterprises in North and South America. Matrix provides consulting and implementation services designed to help organizations integrate data systems, build analytics pipelines and deploy AI applications at scale. Organizations will be able to move from siloed tools to a unified platform for analytics, machine learning, gen AI and governance.
Dataiku’s platform is used to support data preparation, model development and operationalization of machine learning workflows. By extending the partnership regionally, Matrix aims to help organizations move from legacy data environments to more modern, AI-enabled architectures. Enterprises continue to invest in data modernization as a foundation for AI adoption. The partnership offers an integrated advisory-technology-delivery model to help modernize risk operations while maintaining operational continuity and regulatory alignment.
Posted by Pure AI Editors on 03/30/20260 comments
PrimeTech, successor to BamCore, has launched an artificial intelligence–driven system designed to automate wall framing processes in construction projects. The platform uses AI to generate framing plans and guide production, helping construction teams improve accuracy and reduce manual labor. The system is intended to streamline workflows by translating design specifications into executable framing instructions. Initial deliveries will feature Prime24+, engineered for speed, thermal efficiency and acoustic isolation, with structural capacity, resilience and AI-enhanced efficiency.
The approach can support faster project timelines and more consistent output, particularly in large-scale residential and commercial construction. The technology is designed to integrate with existing construction processes while introducing automation into traditionally manual tasks. Construction firms are increasingly adopting digital tools and automation to address labor shortages and improve productivity. PrimeTech aims to establish a scalable platform for the future of industrialized wall-based construction.
Posted by Pure AI Editors on 03/30/20260 comments
Pillar Security announced a partnership with Wiz focused on improving visibility into artificial intelligence–related attack surfaces across enterprise environments. The integration connects Pillar’s AI discovery and risk analysis capabilities with Wiz’s cloud security platform. The goal is to help organizations identify where AI systems are deployed, understand associated risks and map potential attack paths across cloud infrastructure. The partnership leverages Wiz's AI workload discovery and potential security risks on the Wiz Security Graph, where Pillar Security then tests those AI endpoints with RedGraph to provide security results back to Wiz as enriched, evidence-based risk data. The integration provides complete AI asset inventory, automated AI attack surface mapping, continuous validation and enriched risk data.
Pillar focuses on identifying and securing AI assets, including models, data pipelines and APIs, while Wiz provides cloud security posture management and risk detection. By combining these capabilities, the companies aim to give security teams a more comprehensive view of how AI workloads intersect with broader cloud environments.
Posted by Pure AI Editors on 03/30/20260 comments