MetaComp Pte. Ltd. (MetaComp), today launched the StableX Know Your Agent (KYA) Framework – a governance framework for AI agents operating in regulated financial services in payments, compliance, and wealth workflows authored by a licensed financial institution and believed to be the first of its kind globally. MetaComp is Asia’s pioneer in unified Web2.5 digital financial solutions bridging fiat and stablecoin capabilities across payments, treasury, and wealth management through a group-level platform. The KYA framework is open for adoption by financial institutions, regulators, and network partners.

The announcement was made at Money20/20 Asia in Bangkok, Thailand, alongside the expansion of MetaComp’s AgentX agentic financial services Skill ecosystem, the first such ecosystem from a regulated financial institution, which will be available across Claude, Claude Code, OpenClaw, and other compatible AI platforms from 21 April 2026 at www.metacomp.ai.

Ms Tin Pei Ling, Co-President, MetaComp said: “AI agents are already operating in financial services — initiating payments, making compliance decisions, managing portfolios. And yet there is no agreed standard for who those agents are, what they are permitted to do, or who is accountable when they act outside their mandate. KYA is our active contribution to establish that standard for regulated financial services. It governs agents across their full lifecycle — identity, authorisation, behaviour monitoring, and how they interact with each other — within a single architecture.”

To understand why this matters in practice, take something as fundamental as identity. When a human leaves an organisation, their access is revoked. When an AI agent completes a transaction, its identity and permissions do not automatically expire. It can persist in a system long after its mandate has lapsed — with no verified identity anchor, no accountability chain, and no mechanism to intervene. “Also, the longitudinal behavioural trail, if without safeguards such as time limits or privacy protection, risks being tracked and exploited. Hence, holistic lifecycle governance is imperative,” she added.

The Governance Gap Agentic Finance Has Yet to Close

Financial institutions globally are deploying AI agents to initiate payments, execute compliance decisions, and manage portfolios, yet fewer than one in three organisations have adequate governance and controls in place to oversee them, according to McKinsey’s 2026 State of AI Trust survey. Similarly, PwC’s Global AI Performance Study 2026, found that while Singapore businesses outperform the global average on AI adoption (67 per cent report a higher risk appetite for AI investment versus 41 per cent globally), only 47 per cent have a documented responsible AI framework, compared to 63 per cent among global AI leaders.

In January 2026, Singapore’s Infocomm Media Development Authority (IMDA) published the world’s first cross-sector governance framework for AI agents. Budget 2026 built on this with the establishment of a National AI Council chaired by Prime Minister Lawrence Wong, designating finance as one of four national AI mission sectors and committing to regulatory sandboxes for AI innovation.

Ms Tin Pei Ling added: “We developed KYA drawing on IMDA’s Model AI Governance Framework for Agentic AI, and we went back to IMDA directly to seek their feedback. We are in active engagement with other regulators and stakeholders. We are not presenting this as a finished answer. We are publishing it openly, because this is not a problem any one institution can resolve on its own. We are asking financial institutions, regulators, and technology partners to adopt it, challenge it, and build on it with us.”

To the best of MetaComp’s knowledge and based on publicly available information, no licensed financial institution has published a governance architecture addressing agent identity, authorisation, action scope, behavioural monitoring, risk scoring, audit trails, and agent-to-agent governance in a single framework specifically for regulated payments, compliance, and wealth workflows.

KYA governs AI agents across their full operational lifecycle, to establish who the agent is, what it is permitted to do, what it actually does and how it interacts. The framework is organised across four pillars: Agent Identity and Registration; Authority and Permission Control; VisionX Behaviour Monitoring and Risk Intelligence; and Ecosystem and Interaction Governance, which extends the FATF Travel Rule to agent-to-agent transactions.

Under the KYA framework, every AI agent is anchored to a verified identity linked to a real-world individual or institution through a tamper-resistant registry, ensuring clear accountability from the outset. Each agent operates within strictly defined permissions – governing what it can access, decide, and execute – with built-in safeguards that require human escalation when actions exceed approved thresholds.

The framework goes beyond traditional controls by introducing continuous, real-time monitoring of agent behaviour, assessing not just what actions are taken, but how they are executed and whether outcomes align with intent. As agents operate, their risk profiles are dynamically updated, enabling proactive risk management. All activities and interactions are securely authenticated and recorded, creating a comprehensive, end-to-end audit trail that delivers full transparency and traceability for regulators, institutions, and ecosystem participants.

KYA extends its governance to agent-to-agent interactions, building on the principles of the Financial Action Task Force (FATF) Travel Rule by requiring the exchange of verified identity and transaction information not only between institutions, but also across agent-initiated and agent-to-agent activities within a unified architecture. This ensures that every interaction remains traceable, attributable, and compliant by design.

The framework governs all agents operating within the StableX Network, including those accessing MetaComp’s capabilities through the AgentX Skill ecosystem. Financial institutions and developers can access MetaComp’s regulated infrastructure (compliance, payments, and wealth management) directly through the AI platforms they already use, including Claude, Claude Code, and other compatible platforms via Model Context Protocol (MCP).

The ecosystem’s first Skill, the VisionX Know Your Transaction (KYT) Skill, packages the Web2.5 VisionX Engine into a single agent-callable compliance layer combining more than four blockchain analytics vendors in parallel. New Skills across cross-border payments, treasury, and wealth management will be available by late Q2 2026.

The Compliance Foundation and the Evidence Behind It

The framework sits on top of a compliance architecture that MetaComp has validated across real-world transaction flows. Cross-border transactions today increasingly span both traditional banking rails and blockchain networks within a single transfer. FATF data from June 2025 shows that 73 per cent of jurisdictions have passed Travel Rule legislation, but 59 per cent have taken no supervisory or enforcement action.

Ms Summer Yu, Group Chief Compliance Officer, Alpha Ladder Group, said: “Today’s compliance frameworks were designed for a world where humans initiate transactions. That assumption no longer holds. Our analysis of more than 7,000 real-world transactions shows that even in hybrid fiat and blockchain environments, relying on a single screening tool can leave up to 25% of high-risk exposures undetected. In an agent-driven environment, these risks multiply, and without a defined identity layer, clear authorisation boundaries, or shared accountability standards, the control framework simply does not exist. VisionX Web2.5 closes the visibility gap. KYA establishes the governance layer. Both are essential, and both must be in place before agentic finance can scale safely.”

Today’s announcement continues a period of sustained momentum for MetaComp. Since closing US$35 million across two Pre-A funding rounds within three months, the group has launched the Web2.5 VisionX Engine, established a joint venture with Maqam International Holding to connect Abu Dhabi’s real asset base to Asian capital markets through the StableX Network, and now introduced the KYA Framework as the governance layer for the next phase of institutional agentic finance. Capital is being deployed across all three dimensions: deepening compliance capabilities, expanding regulated payment corridors across Asia, the Middle East, Africa, and Latin America, and building the institutional standards that the agentic era requires.

About MetaComp

MetaComp is Asia’s pioneer in unified Web2.5 digital financial solutions, bridging fiat and stablecoin capabilities across payments, treasury, and wealth management on an institutional, group-level platform. Licensed by the Monetary Authority of Singapore as a Major Payment Institution to provide Digital Payment Token (DPT) and Cross-border Money Transfer (CBMT) services, MetaComp serves more than 1,000 institutional and accredited clients across major financial hubs globally.

In 2025, the group-level platform processed over US$10 billion in payment and OTC volume across 13+ stablecoins, operating at a monthly run rate exceeding US$1 billion. Through the StableX Network, institutions move, convert and manage capital across fiat and stablecoin rails within a compliant, unified Web2.5 financial architecture. Treasury and investment services are provided through Alpha Ladder Finance Pte. Ltd., MetaComp’s MAS-licensed affiliate holding Capital Markets Services (CMS) and Recognised Market Operator (RMO) licences, with wealth AUM surpassing US$500 million across its solutions.

MetaComp has raised US$35 million in its Pre-A funding rounds to date and achieved full-year net profitability in 2025, reflecting strong institutional demand for regulated Web2.5 financial solutions.

Learn more at www.mce.sg, or follow MetaComp on X @MetaCompHQ or LinkedIn (https://www.linkedin.com/company/metacompsg).

Hoonartek today launched ClearView, an agentic decisioning layer built for enterprises that have invested in modern data platforms but have yet to translate that investment into autonomous, business-driven execution.

Most large enterprises face a common challenge: a mature data estate—lakehouse, cloud warehouse, and years of engineering—combined with a growing stack of point SaaS products, each solving narrow decisions in isolation. The result is rising license costs, fragmented ownership, and AI that operates alongside the business rather than within it.

Hoonartek’s ClearView is designed to change that equation. By treating business decisions as the primary unit of design, it deploys autonomous agents directly above the existing data estate—activating it for real-time decisions while systematically reducing reliance on fragmented SaaS tools.

“Enterprises have already built the data foundation. ClearView is what finally turns it on—agents that execute real business decisions, traceable from intent to outcome, without adding another SaaS layer.” — Peeyoosh Pandey, CEO, Hoonartek

This shift is resonating at the CFO and CDO level, where SaaS rationalization and AI activation are converging into a single strategic priority.

“The biggest gap in enterprise AI hasn’t been technology—it’s been the operating model for how decisions are made at scale. ClearView addresses that directly on top of existing infrastructure.” — Rupinder Bhamra, Former Corporate CTO, MSCI

“Enterprises don’t fail at AI because of bad models. They fail because no one connected the data platform to decisions. ClearView closes that gap.” — Dejan Deklich, Former CTO, Aisera

ClearView operates across three layers: a decision governance layer defining agent authority; RealizeAI, Hoonartek’s AI factory for scaling ML use cases; and BlueFoundry, the execution engine translating business intent into governed agentic workflows. Every decision is traceable from definition to outcome—built-in, not bolted on.

The platform is live across financial services, telecom, and manufacturing. Hoonartek was recognized at the NASSCOM Inspire Awards 2026 for AI Service Excellence.

About Hoonartek

Hoonartek is a global data and AI solutions company with over 15 years of experience and 250+ enterprise deployments across BFSI, telecom, manufacturing, and pharma. The company partners with Databricks, Google Cloud, and Ab Initio to help enterprises activate their data estate and scale AI-driven decision-making.

BrandJet AI, a brand intelligence and outreach automation platform, today announced the launch of Artemis, a new Model Context Protocol (MCP) layer designed to help go-to-market (GTM) teams execute complex multi-step workflows using natural language prompts. The company also introduced a new commercial role, the Forward Deployed Account Executive (FDAE), created to support organizations adopting AI-native revenue operations.

The announcements reflect BrandJet AI’s continued focus on reducing fragmentation across sales, marketing, and revenue technology stacks by connecting intent detection and outreach execution within a single operating environment.

Addressing GTM Fragmentation

Revenue teams typically rely on multiple systems to monitor brand conversations, identify prospects, enrich contact data, sequence outreach, and track engagement. These processes often require manual coordination across platforms, creating delays between signal detection and commercial action.

Artemis is designed to streamline this workflow. Built on a Model Context Protocol architecture, it connects BrandJet AI’s monitoring, enrichment, sequencing, and performance-tracking capabilities into a unified prompt-driven layer.

Through Artemis, revenue operators can initiate structured workflows using natural language instructions. For example, a user may request the identification of professionals discussing specific topics across digital platforms within a defined timeframe, enrichment of those profiles, and the creation of an outreach sequence aligned to campaign goals. Artemis coordinates those tasks within the system, allowing teams to reduce operational handoffs.

According to BrandJet AI, the goal is not to replace strategic oversight but to simplify execution.

“Revenue teams spend too much time stitching together tools instead of acting on real buying signals,” said Nirav Shah, CEO of BrandJet AI. “Artemis helps unify intelligence and execution so teams can move from insight to outreach more efficiently.”

Prompt-Driven Workflow Orchestration

Artemis supports workflows that include:

• Monitoring brand and competitor mentions across social platforms and the open web
• Identifying potential prospects based on observable intent signals
• Enriching lead data within the platform
• Initiating multi-channel outreach across email and major social networks
• Tracking engagement and campaign performance in real time

Rather than requiring operators to manually transfer data between systems, Artemis enables coordinated execution through a conversational interface layered on top of BrandJet AI’s infrastructure.

The system is designed to operate within compliance and governance standards established by customer organizations, maintaining human oversight over messaging and campaign parameters.

Introducing the Forward Deployed Account Executive

Alongside the Artemis launch, BrandJet AI announced the introduction of the Forward Deployed Account Executive (FDAE), a role intended to help enterprise customers integrate AI-driven workflows into their revenue operations.

As AI platforms become more advanced, organizations often encounter implementation gaps between technical capability and day-to-day usage. The FDAE model is structured to address that gap by embedding commercially accountable operators more deeply into customer environments.

Unlike traditional account executives who primarily focus on closing new business, or customer success managers who focus on support and retention, the FDAE combines revenue accountability with workflow strategy support. The role is designed to assist customers in mapping Artemis and broader BrandJet AI capabilities to their specific GTM structures.

“The technology layer is evolving quickly, but successful adoption depends on workflow design and operational alignment,” said Marsad Aurangzeb, Founder of BrandJet AI. “The Forward Deployed AE role is intended to help customers translate AI capabilities into measurable revenue outcomes.”

BrandJet AI plans to formalize the FDAE framework and publish additional details regarding the role’s structure and responsibilities in 2026.

Connecting Listening and Outreach

Historically, social listening and sales engagement technologies have evolved separately. Listening platforms track conversations, brand mentions, and sentiment across digital channels, while engagement platforms focus on outbound sequencing and pipeline development.

BrandJet AI’s platform integrates both functions, allowing teams to identify signals and initiate outreach within the same environment. With Artemis, those processes can now be coordinated through prompt-driven workflows.

For example, when a relevant public conversation surfaces online, such as a discussion about a specific technology category, hiring signals, or operational challenges, Artemis can help surface the signal, enrich the associated contact, and assist in preparing a tailored outreach campaign.

The objective is to reduce the time between observed intent and commercial response, while maintaining alignment with compliance and messaging standards.

Enterprise Implementation and Governance

BrandJet AI emphasizes that Artemis is built to operate within enterprise governance frameworks. Campaign parameters, messaging templates, and data usage policies remain configurable by customer teams.

As organizations expand AI adoption within revenue functions, governance considerations, including messaging accuracy, compliance adherence, and brand alignment, remain central. Artemis is positioned as an execution layer that operates within these controls rather than outside them.

The company states that ongoing enhancements are planned, including additional intent modeling refinements, deeper workflow customization, and validation loops that compare forecasted campaign outcomes with actual engagement performance over time.

Availability

Artemis MCP is available immediately to customers on BrandJet AI’s Growth and Enterprise plans. Availability for Starter plan users is expected in Q2 2026. Forward Deployed Account Executive engagements are currently offered on a limited basis for Enterprise customers.

Organizations interested in learning more may contact BrandJet AI directly for additional information.

About BrandJet AI

BrandJet AI is a brand intelligence and outreach automation platform designed for modern revenue teams. The platform enables organizations to monitor brand and competitor activity across digital channels, identify potential prospects based on social and behavioral signals, and execute multi-channel outreach campaigns within a unified interface. BrandJet AI serves growth-stage and enterprise organizations across SaaS, financial services, and professional services industries.

AI infrastructure company EverMind has recently released EverMemOS, an open-source Memory Operating System designed to address one of artificial intelligence’s most profound challenges: equipping machines with scalable, long-term memory.

The Memory Bottleneck

For years, large language models (LLMs) have been constrained by fixed context windows, a limitation that causes “forgetfulness” in long-term tasks. This results in broken context, factual inconsistencies, and an inability to deliver deep personalization or maintain knowledge coherence. The issue extends beyond technical hurdles; it represents an evolutionary bottleneck for AI. An entity without memory cannot exhibit behavioral consistency or initiative, let alone achieve self-evolution. Personalization, consistency, and proactivity, which are considered the hallmarks of intelligence, all depend on a robust memory system.

There is a consensus that memory is becoming the core competitive edge and defining boundary of future AI. Yet existing solutions, such as Retrieval-Augmented Generation (RAG) and fragmented memory systems, remain limited in scope, failing to support both 1-on-1 companion use cases and complex multi-agent enterprise collaboration. Few meet the standard of precision, speed, usability, and adaptability required for widespread adoption. Equipping large models with a high-performance, pluggable memory module remains a core unmet demand across AI applications.

Discoverative Intelligence

“Discoverative Intelligence” is a concept proposed in late 2025 by entrepreneur and philanthropist Chen Tianqiao. Unlike generative AI, which mimics human output by processing existing data, Discoverative Intelligence describes an advanced AI form that actively asks questions, forms testable hypotheses, and discovers new scientific principles. It prioritizes understanding causality and underlying principles over statistical patterns, a shift Chen argues is essential to achieving Artificial General Intelligence (AGI).

Chen contrasted two dominant AI development paths: the “Scaling Path,” which relies on expanding parameters, data, and compute power to extrapolate within a search space, and the “Structural Path,” which focuses on the “cognitive anatomy” of intelligence and how systems operate over time.

Discoverative Intelligence falls into the latter category, built on a brain-inspired model called Structured Temporal Intelligence (STI) that requires five core capabilities in a closed loop: neural dynamics (sustained, self-organizing activity to keep systems “alive”), long-term memory (storing and selectively forgetting experiences to build knowledge), causal reasoning (inferring “why” events occur), world modeling (an internal simulation of reality for prediction), and metacognition & intrinsic motivation (curiosity-driven exploration, not just external rewards).

Among these capabilities, long-term memory serves as the vital link between time and intelligence, highlighting its indispensable role in the path toward achieving true AGI.

EverMind’s Answer

EverMemOS is EverMind’s answer to this need: an open-source Memory Operating System designed as foundational technology for Discoverative Intelligence. Inspired by the hierarchical organization of the human memory system, EverMemOS features a four-layer architecture analogous to key brain regions: an Agentic Layer (task planning, mirroring the prefrontal cortex), a Memory Layer (long-term storage, like cortical networks), an Index Layer (associative retrieval, drawing from the hippocampus), and an API/MCP Interface Layer (external integration, serving as AI’s “sensory interface”).

The system delivers breakthroughs in both scenario coverage and technical performance. It is the first memory system capable of supporting both 1-on-1 conversation use cases and complex multi-agent enterprise collaboration. On technical benchmarks, EverMemOS achieved 92.3% accuracy on LoCoMo (a long-context memory evaluation) and 82% on LongMemEval-S (a suite for assessing long-term memory retention), significantly surpassing prior state-of-the-art results and setting a new industry standard.

The open-source version of EverMemOS is now available on GitHub, with a cloud service version to be launched late this year. The dual-track model, combining open collaboration with managed cloud services, aims to drive industry-wide evolution in long-term memory technology, inviting developers, enterprises, and researchers to contribute to and benefit from the system.

About EverMind

EverMind is redefining the future of AI by solving one of its most fundamental limitations: long-term memory. Its flagship platform, EverMemOS, introduces a breakthrough architecture for scalable and customizable memory systems, enabling AI to operate with extended context, maintain behavioral consistency, and improve through continuous interaction.

To learn more about EverMind and EverMemOS, please visit:
Website: https://evermind.ai/
GitHub: https://github.com/EverMind-AI/EverMemOS
X: https://x.com/EverMindAI
Reddit: https://www.reddit.com/r/EverMindAI/

Latest release enables faster, more confident design decisions at scale with accelerated simulation, AI-powered, real-time feedback, and GPU-accelerated reduced order modeling

Altair, a global leader in computational intelligence and now part of leading technology company, Siemens, announced the latest updates to HyperWorks 2026 software. With significant advances in AI, high-performance computing (HPC), and multiphysics integration, HyperWorks 2026 enables engineering teams to accelerate innovation and improve product performance across industries using comprehensive computer-aided engineering (CAE) design and simulation.

“HyperWorks 2026 exemplifies how Altair and Siemens are driving the future of simulation and empowering engineers to design smarter, faster, and with greater confidence in real-world outcomes by bringing AI, automation, and multiphysics into a unified ecosystem,” said Sam Mahalingam, chief technology officer, Altair, and executive vice president, Siemens Digital Industries Software. “Following the acquisition by Siemens earlier this year, our commitment is to create the world’s most complete AI-powered portfolio of product lifecycle intelligence software and further enhance the most comprehensive digital twin.”

HyperWorks in use at JetZero

JetZero, a pioneering aviation startup building the future of ultra-efficient air travel, is collaborating with Siemens on the development and production of JetZero’s revolutionary blended wing aircraft. The innovative all-wing design aims to improve fuel efficiency by up to 50 percent, reduce noise, and advance the industry toward zero carbon emissions. Key to the fast pace of its development schedule is gaining engineering insights faster than using conventional high fidelity computational fluid dynamics (CFD) with FlightStream, part of the HyperWorks suite.

As John Vassberg, chief design officer at JetZero explains, “JetZero is pioneering the next step change in the aerospace industry and, to accomplish that at the scale the industry is demanding, means we need a toolset that allows us to work at pace and gain accurate insights early in design – which FlightStream does. It is easy for our engineering team to use, does not require the traditional high-performance computing resources of high-fidelity CFD, and gets us answers fast and without heavy resource demands. This is critical for companies like JetZero that need to iterate faster than ever before.”

HyperWorks 2026 delivers six key innovations

AI-powered design and simulation
Geometric deep learning and generative algorithms and GPU-accelerated reduced order modeling (ROM) enable near-real-time predictions and faster validation. Physics-based AI models can be deployed in secure, browser-based environments, producing results up to 1,000x faster than traditional solver simulations. Expanded support for vectors and smoothed-particle hydrodynamics (SPH) broadens domain coverage.

Enterprise-scale pre-processing and model assembly
Engineers can now simulate large, complex assemblies with speed and fluidity, shortening build and validation cycles. Enhanced navigation, batch meshing, and connector management streamline pre-processing while direct data management integration helps to ensure consistency across teams.

Integrated multiphysics simulation
Unified solvers and domain coupling allow engineers to analyze complex interactions – such as thermal-fluid or electromagnetic-structural systems – with greater fidelity. New workflows support e-motor optimization, battery safety studies, and high-temperature analysis, while co-simulation standards enhance digital continuity. Electromagnetic simulations run up to 40 percent faster and propagation modeling up to 20x faster with radar and electromagnetic compatibility (EMC) analysis expanded for next-generation applications.

Automation, collaboration and connectivity
Expanded Python and API support, intuitive no-code workflow tools, and cloud integration promote digital continuity. Enhanced visualization and plotting tools simplify result interpretation and sharing, while seamless interoperability with third-party software strengthens digital twin fidelity.

Realistic particle, fluid, and material behavior
New modeling approaches capture bulk flow, impact behavior, and high-temperature effects with greater realism. Python-based automation accelerates discrete element method (DEM) workflows and coupled solvers enable advanced studies of battery safety and material response.

Intuitive design and motion exploration
A more unified workspace transforms how engineers explore motion and refine geometry. Real-time updates across multi-window views reduce setup time, while flexible implicit modeling and direct surface editing remove geometry barriers to creativity. With clear side-by-side comparisons, teams can make faster, more confident decisions.

Altair HyperWorks 2026 is available now. To learn more, visit https://altair.com/hyperworks-2026

About Altair

Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair is part of Siemens Digital Industries Software. To learn more, please visit altair.com or sw.siemens.com.

Delivering VCF expertise and measurable ROI for cloud and data center modernization

RapidScale, a Cox Business company and leading provider of enterprise managed and professional services for public, private, and hybrid cloud environments and a VMware Cloud Service Provider (VCSP) Pinnacle partner, today introduced its Accelerated VMware Adoption Program. This program is designed to help customers maximize the value of their current VMware Cloud Foundation (VCF) investments in a consumption-based service delivery model, while enabling better compliance and modern enterprise IT readiness.

As the VMware Cloud Foundation platform reshapes the cloud industry, RapidScale is working in collaboration with Broadcom to provide additional guidance and help enterprises and managed service providers (MSPs) move forward with confidence. In a time of accelerated industry transformation and uncertainty, RapidScale is at the forefront of shaping best practices and helping organizations adapt—not only as a trusted Broadcom partner, but as a leader in guiding businesses through the changing multi-cloud environment.

“Change should feel like progress and possibility,” said Maureen Power Sweeny, Chief Revenue Officer at RapidScale. “Our focus is on delivering actionable strategies that drive meaningful business outcomes. We work as a true partner, anticipating needs, and helping clients unlock new opportunities. Our clients receive more than a transactional vendor—they gain a partner who sees around corners and helps them master growth. We’re proud to be part of the next chapter of VMware software at Broadcom and even prouder to help our clients write theirs.”

RapidScale’s approach combines strategic foresight, deep engineering expertise, and a client-first mindset to deliver hybrid-cloud ready architecture, flexibility, and enterprise-grade support. RapidScale provides tailored solutions to meet every need. As clients transition from basic data center virtualization to a modern private cloud, they can deploy on premises, in RapidScale hosted environments, or across leading hyperscalers. As a Broadcom Pinnacle Partner—and a certified AWS, Azure, and Google Cloud provider—RapidScale leverages nearly two decades of VMware experience to help organizations confidently navigate complex transitions.

RapidScale’s Accelerated VMware Adoption Program offers:

Immediate Access to VCF Subscriptions for Faster ROI:
Clients gain immediate access to the latest VCF technology under RapidScale’s ‘Ready-to-Contract’ path, minimizing downtime and accelerating time-to-market.

Subscription Portability to Maximize Financial Efficiency:
Through RapidScale’s VMware Factory, enterprises can port existing VCF subscriptions to RapidScale hosted environments, preserving previous investments while optimizing cost and entitlement under the new structure. This helps ensure clients maximize subscription utilization.

Seamless Asset Migration for Operational Resilience:
RapidScale streamlines VMware asset migration and acquisition—covering servers, storage, and networking—while maintaining compliance and minimizing disruption. Using a “walk-in takeover” model, RapidScale bridges physical and contractual gaps for data center clients, delivering operational continuity and resilience through seamless platform transitions.

Flexible Subscription Models for Strategic Decision Making:
RapidScale provides choice and flexibility with our VCF service options. This allows organizations to right-size their usage and build a hybrid strategy that aligns with long-term business goals.

Full-Stack VMware Expertise + Managed Services for Competitive Advantage:
RapidScale offers a streamlined VMware-as-a-Service solution, including private cloud, multi-tenant infrastructure, managed security, DRaaS, and hybrid networking. With enterprise-grade infrastructure, expert managed services, and 24/7/365 U.S.-based support, we enable enterprises to accelerate digital transformation, protect assets, and achieve business growth while reducing complexity and optimizing costs.

Frictionless Partner Ecosystem support to ensure Business Continuity

RapidScale is ready to support non-renewing VCSP partners as a retained partner by seamlessly transitioning impacted customers to ensure zero disruption to their existing customers. RapidScale accelerates partner transitions, providing a clear path to ongoing VMware value and operational continuity through a pre-approved compliance framework, reducing onboarding time from months to weeks.

“Broadcom’s goal is to cultivate an environment where capable and highly trained partners such as RapidScale can deliver exceptional value and a superior experience to customers,” said Ricky Cooper, general manager of Global Cloud Service Providers and OEMs, Broadcom. “Together, we’re empowering customers to modernize faster, scale smarter, and unlock the full value of their digital transformation through managed VCF-based private cloud services that reduce our mutual customers’ costs, IT complexity, and risk.”

RapidScale’s Accelerated VMware Adoption Program is available immediately for VMware customers, managed service providers, and partners seeking a compliant, low-risk path forward.

About RapidScale

RapidScale empowers business innovation through secure, scalable cloud solutions—driven by exceptional talent. We deliver managed, professional, and advisory services across private, public, and hybrid environments, enabling mid-market and enterprise organizations to extend their technology reach, activate change, and accelerate growth. Whether hosted, on-premises, or hybrid, our solutions are designed to meet the needs of our clients’ business outcomes—not just their infrastructure needs—ensuring each solution is bespoke, unbiased, and precisely aligned with client goals.

As a Broadcom Pinnacle Partner, AWS Premier Partner, Microsoft Azure Expert MSP, and certified Google Cloud Partner, RapidScale transforms complexity into agility. Our services span the full cloud lifecycle—from strategy to execution—with embedded cyber resiliency and AI-powered data insights that protect today’s operations and enable tomorrow’s competitive edge.

Through RapidScale, Cox Business, Segra and Hospitality Network, Cox Communications provides a broad commercial solutions portfolio including advanced cloud and managed IT solutions and fiber-based network solutions that create connected environments, unique hospitality experiences and support diverse applications for nearly 370,000 businesses nationwide.

This release advances Prowler’s mission to make cloud security proactive, enabling teams to understand, prioritize, and eliminate real-world attack routes

Prowler, the leader in open cloud security, today announced the release of Attack Path Visualization, a major enhancement to the Prowler platform that reveals how threats move across multi-cloud environments and identifies the most impactful routes attackers could exploit.

The launch builds on the momentum following Lighthouse AI and MCP Server and further establishes Prowler as the world’s most widely adopted open cloud-security platform that delivers cloud security for ANY cloud at AI speed.

A Knowledge Graph for Cloud Security

DevSecOps teams continue to face overwhelming volumes of disconnected alerts that provide little understanding of how risks relate to one another. Traditional scanners identify thousands of issues but rarely show how misconfigurations, permissions, identities, and data access combine to form real attack paths. What’s missing is a relationship-aware, connected view of the cloud, one that turns fragmented findings into meaningful insights and highlights the risks that actually matter.

Attack Path Visualization introduces a unified knowledge graph that maps all cloud resources along with the relationships that link them. Unique to Prowler, any findings related to resources are also linked in the graph for faster traversal and contextual analysis.

By analyzing these dependencies, Prowler exposes the precise paths an attacker could use to escalate privileges, move laterally, or reach sensitive systems.

Security teams gain an immediate understanding of how individual misconfigurations or exposed resources contribute to larger, multi-step risks. Instead of isolated alerts, they now see the full chain of impact.

Lighthouse AI Integrates Deep Security Context

The new knowledge graph will also serve as a core data source for Lighthouse AI, Prowler’s autonomous security assistant. Lighthouse AI now reasons directly over this connected graph to:

• Identify high-impact attack paths and the earliest point of compromise
• Prioritize findings based on real attackability rather than static severity
• Generate accurate, environment-aware remediation steps
• Automate fixes through MCP-powered workflows inside developer tools

By combining deep graph context with agentic AI decision-making, Lighthouse AI dramatically accelerates risk understanding and shrinks the gap between detection and remediation. Cloud environments continue to expand in scale and complexity, making it harder for teams to understand how risks interact. Attack Path Visualization transforms this complexity into clarity by presenting the full chain of potential compromise and highlighting the earliest point where action will have the greatest impact.

“Our mission has always been to bring clarity and autonomy to cloud security,” said Toni de la Fuente, founder & CEO of Prowler. “Attack Path Visualization gives teams the complete picture of how risks connect, and Lighthouse AI turns that understanding into instant, actionable decisions. It’s another step toward a future where security isn’t just faster, it’s fundamentally more intelligent.”

The launch builds on the momentum following Lighthouse AI and MCP Server and further establishes Prowler as the world’s most widely adopted open cloud-security platform that delivers cloud security for ANY cloud at AI speed.

Meet Prowler at AWS re:Invent

Attack Path Visualization is available in preview today within Prowler Cloud and integrates automatically with Lighthouse AI and the MCP Server. Demonstrations and hands-on walkthroughs are available this week at AWS re:Invent. Meet the Prowler team at booth 1238 on the expo floor.

To learn more or get started, visit www.prowler.com or sign up for Prowler Cloud at https://cloud.prowler.com.

About Prowler

Prowler is the world’s most widely used open-source cloud-security platform, automating security and compliance across any cloud environment. Backed by thousands of contributors and a vibrant global community, Prowler leads the open-source security movement with transparent, customizable, and easy-to-use solutions that secure AWS, Azure, Google Cloud, OCI, Kubernetes, GitHub, and Microsoft 365.

By leveraging the innovation and cost-efficiency of open source, Prowler makes cloud security 10× more cost-effective and accessible than alternatives.

As organizations strive to boost productivity in a challenging economy, new research from TeamViewer, a global leader in digital workplace solutions, highlights concerns about dysfunctional technology. The study reveals that dysfunctional technology is quietly eroding business performance and limiting productivity gains across industries.

The financial, operational, and human impacts are significant with employees stating they are losing on average 1.3 days per month due to digital friction. According to the research, 80% of employees lose productive time every month due to digital friction — everyday technology breakdowns that prevent people from doing their jobs efficiently.

The impact extends well beyond inconvenience: 42% of respondents say their organization has suffered revenue loss due to digital friction, while 69% believe it has contributed to employee turnover. Further, 47% say technology frustration reduces job satisfaction, and 28% have considered quitting because of it.

The report, “The Impact of Digital Friction: Understanding How Dysfunctional Technology Drains Productivity, Performance & People,” draws on insights from 4,200 employees and managers across nine countries and multiple industries.

“Given the number of challenges business leaders are navigating today, it’s understandable that IT issues can go unnoticed – but when they do, the financial impact is significant,” said Oliver Steil, CEO, TeamViewer. “Technology sits at the core of every modern organization. When it underperforms, the cost is immediate – in efficiency, customer satisfaction, and ultimately in competitiveness.”

AI’s role in resolving dysfunction

Encouragingly, the research highlights a clear path forward. Nearly half of respondents (48%) believe AI can help reduce digital friction in their organization. Meanwhile half (50%) are open to AI taking over routine IT tasks such as troubleshooting and password resets.

These insights suggest a growing readiness among businesses to embrace AI as a force multiplier for productivity and efficiency, helping teams work smarter and faster while reducing everyday hurdles.

“Technology should empower people, not hold them back” said Andrew Hewitt, VP of Strategic Technology, TeamViewer. “With productivity such a huge focus for businesses right now, there’s a real opportunity to turn everyday tech frustrations into progress. Our findings show that reducing digital friction can have an enormous impact on both performance and morale. When organizations embrace AI-powered workplace solutions, they can remove barriers, give people back valuable time, and create a smoother, more rewarding work experience.”

About the Report: The study was conducted by Sapio Research on behalf of TeamViewer in August–September 2025 across nine markets: the U.S., Canada, U.K., Germany, France, Italy, Japan, India, and Australia. Respondents included an even split of managers and employees across industries and company sizes. The full report is available here: https://www.teamviewer.com/en/resources/reports/impact-of-digital-friction/

About TeamViewer

TeamViewer provides a Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better.

In 2005, TeamViewer started with software to connect to computers from anywhere to eliminate travel and enhance productivity. It rapidly became the de facto standard for remote access and support and the preferred solution for hundreds of millions of users across the world to help others with IT issues. Today, more than 645,000 customers across industries rely on TeamViewer to optimize their digital workplaces—from small to medium sized businesses to the world’s largest enterprises—empowering both desk-based employees and frontline workers.

Organizations use TeamViewer’s solutions to prevent and resolve disruptions with digital endpoints of any kind, securely manage complex IT and industrial device landscapes, and enhance processes with augmented reality powered workflows and assistance—leveraging AI and integrating seamlessly with leading tech partners. Against the backdrop of global digital transformation and challenges like shortage of skilled labor, hybrid working, accelerated data analysis, and the rise of new technologies, TeamViewer’s solutions offer a clear value add by increasing productivity, reducing machine downtime, speeding up talent onboarding, and improving customer and employee satisfaction.

The company is headquartered in Göppingen, Germany, and employs around 1,900 people globally. In 2024, TeamViewer achieved a revenue of around EUR 671 million. TeamViewer SE (TMV) is listed at Frankfurt Stock Exchange and belongs to the MDAX. Further information can be found at www.teamviewer.com.

AI-driven solution delivers enterprise Kubernetes management with automated policy-as-code for security, compliance, and governance

Nirmata, creator of Kyverno and leader in policy-as-code innovation, today announced the general availability of its AI Platform Engineering Assistant, an AI-powered solution that automates Kubernetes security, compliance, and workflow management across Kubernetes, Infrastructure as Code (IaC), and hybrid-cloud environments.

As organizations accelerate AI-assisted software development, platform teams must keep pace with increasingly complex infrastructure. Industry data shows a 30x acceleration in software creation and over $350 billion in AI infrastructure investment, yet nearly half of enterprises cite critical platform engineering skill gaps. Nirmata’s AI assistant empowers platform teams by automating the time-intensive tasks of Kubernetes policy management and securing infrastructure, enabling them to scale.

“Platform engineering has become both the bottleneck and the enabler of the AI future,” said Ritesh Patel, Vice President of Product at Nirmata. “Without scalable governance, innovation stalls under complexity and risk. With AI-powered governance, Nirmata transforms policy-as-code into a continuous, intelligent system that enforces compliance without slowing teams down.”

Built on the proven Kyverno policy-as-code engine—the CNCF-incubating project for Kubernetes, IaC, and cloud—the assistant uses a multi-agent architecture to automate policy authoring, detection, and remediation, creating a system for continuous Kubernetes governance and compliance that keeps humans in the loop while automating the most time-consuming tasks.

Key capabilities include:

• Copilot interface: Conversational AI that turns hours-long investigation cycles into minutes. Engineers use natural language to instantly pull detailed insights, data, and reports about their infrastructure and generate enforcement actions.
• Policy-as-Code Agent: Transforms natural language rules into validated Kyverno policy-as-code for Kubernetes and IaC, ensuring each rule aligns with security and compliance standards. This streamlines policy creation and eliminates common syntax errors while helping platform teams standardize governance across clusters and pipelines.
• Remediation Agent: Detects misconfigurations and policy violations, then generates and validates secure fixes with human verification in the loop. This drastically reduces the time engineers spend diagnosing and correcting issues while ensuring every change remains compliant and secure.

Together, these agents deliver AI-powered Kubernetes security through a collaborative, intelligent system that continuously strengthens security, compliance, and operational trust while freeing engineers to focus on higher-value innovation. The AI Platform Engineering Assistant supports all common Kubernetes, Infrastructure-as-Code, and CI/CD systems, with native support for multi-cluster Kubernetes management and seamless integration with existing developer workflows.

Availability

The Nirmata AI Platform Engineering Assistant is now available to enterprise customers. Live demonstrations will be featured at KubeCon + CloudNativeCon North America 2025 and KyvernoCon.
To learn more or request a demo, visit nirmata.com.

About Nirmata

Nirmata is the creator of Kyverno, the CNCF policy engine for Kubernetes security and governance. With 2.5B+ downloads, Nirmata’s AI-powered policy-as-code solutions help enterprises automate Kubernetes compliance, prevent misconfigurations, and deliver enterprise Kubernetes management at scale across regulated industries. For more information, visit www.nirmata.com.

Built for investment bankers and valuation experts, ExelenceAI automates LBO, M&A, and DCF models, bringing generative AI precision to the core of financial analysis

GenerativeX today announced the U.S. launch of ExelenceAI , an AI-powered Excel add-in that brings generative intelligence directly into spreadsheets. Built by former investment bankers and consultants, ExelenceAI enables financial professionals to automate financial modeling, data analysis, and project management — all within the familiar Excel environment.

ExelenceAI operates as a native Excel add-in, allowing users to automate tasks, generate insights, and refine results simply through natural language instructions. From complex LBO and M&A models to DCF valuations, deal schedules, WBS charts, and performance dashboards, the AI agent handles advanced workflows seamlessly.

“ExelenceAI bridges the gap between traditional spreadsheets and generative AI,” said Rei Araki, CEO of GenerativeX. “We’re empowering investment bankers, private equity professionals, and finance teams to model deals, run valuations, and analyze outcomes smarter, faster, and with greater precision — without ever leaving Excel.”

Key Features

• Deal-Level Modeling AI Agent: Automates financial workflows across LBO, M&A, and DCF models, as well as business plans and complex transaction analyses.
• Natural Language Prompting : Describe your task in plain English — from formatting to complex model builds.
• Runs Directly Inside Excel: No upload, no download, no copy-paste. ExelenceAI operates natively with 100% Excel compatibility, maintaining your firm’s formulas, macros, and formatting.
• Advanced Data Functions: Extract and standardize data from web pages, PDFs, and documents into clean, model-ready Excel sheets.
• Dynamic Workflow: Generate, refine, and iterate on outputs in real time.
• Enterprise-Grade Security: All processing runs on Microsoft Azure with end-to-end encryption and zero data leakage.
• Full Audit Trail: Track every change, roll back instantly, and maintain transparent version history.

For Financial and Business Professionals

Designed for analysts, accountants, and consultants, ExelenceAI accelerates workflows such as LBO and DCF modeling, credit memo generation, and KPI dashboarding. Early adopters report reducing model build time by over 70%.

Quick Setup

1. Install the ExelenceAI add-in from Microsoft Office Add-ins Store.
2. Sign up and retrieve an access token from https://app.excelence.ai .
3. Connect via Excel ribbon and start typing commands.

GenerativeX builds AI agents that help financial institutions transform how they analyze, operate, and make decisions. With offices in New York and San Francisco, the company enables banks, investment firms, and insurers to harness generative AI across critical workflows, from modeling and valuation to reporting and risk management. With a proven record of delivering secure, enterprise-grade AI solutions, GenerativeX integrates AI agents into daily financial operations with precision, reliability, and measurable impact.

https://generativex.com