Author: Neel Achary

SK Telecom Leads Global Technical Standardization for Physical AI

SEOUL, Korea, July 23 — SK Telecom (SKT) announced that a new standardization work item on robot data production and utilization systems was adopted at the International Telecommunication Union Telecommunication Standardization Sector (ITU-T) international standardization meeting held in Geneva, Switzerland from July 14 to 22.

The adopted work item, “Signalling Requirements and Architecture for Robot Data Factory (RDF),” is SKT’s proposal to systematically produce and utilize data required for AI training of intelligent robots such as humanoids.

ITU-T is the telecommunication standardization sector of the International Telecommunication Union (ITU), a specialized agency of the UN, and develops international standards in the information and communications field. ITU has around 1,000 institutions, companies, and research organizations from some 190 member countries participating.

Robot motion data is akin to “practice problems” used to train robot AI. For robots to become smarter, they need “many” “good problems.” However, the way this data is created and exchanged differs by robot model and onboard software, making it difficult to achieve compatibility between different systems.

With the recent growth of the robot industry, demand has been increasing for large-scale, high-quality motion data needed for robot AI to learn how to grasp and move objects and use tools. However, because institutions and companies have collected and managed data in different ways, it has been difficult to secure sufficient scale and consistent quality.

Accordingly, SKT proposed a new standardization work item to ITU-T Study Group 11 (SG11) to define the roles of the key functions comprising RDF, its interworking structure, and data exchange methods. Following review and discussion by ITU-T members, the proposal was adopted as a new standardization work item at the July meeting

This work item divides the RDF structure into five layers: Service, Robot Model·Data, Infrastructure, Device, and Management.

SKT plans to establish the role of each layer and the interworking specifications between layers, enabling functions to be easily connected, replaced, and expanded across different robots and platforms.

SKT has been working to build and advance a digital twin platform for manufacturing AI. Building on this, the company is expanding into a robot learning platform that generates robot task data for use in AI training. SKT explained that the adoption of this work item was made possible by the digital twin, AI, and data capabilities it has accumulated over time.

Through this standardization work item, SKT plans to strengthen the utility of its digital twin-based robot learning platform, which is being prepared for launch in the second half of the year. Furthermore, building on this international standardization discussion, SKT aims to expand cooperation with domestic and international robotics and AI companies and research institutions, contributing to the revitalization of the robot data ecosystem.

“With the adoption of this new standardization work item, SKT has established a foundation for leading international standards discussions, leveraging the digital twin and AI capabilities it has accumulated in the Physical AI field,” said Choi Dong-hee, Head of AI Strategy Planning Office at SKT. “Going forward, building on our technological competitiveness spanning robot learning platforms and AI models, we will continue to spearhead international standardization in robotics.”

Kore.ai Names Uma Sandilya Chief Commercial Officer, Placing Sales, Marketing, and Strategy Under One Leader

Appointment follows a year of accelerating customer growth, the launch of the Artemis edition of the Kore.ai Agent Platform, and Leader placements from Gartner and Forrester 

SAN MATEO, Calif., July 22, 2026 – Kore.ai, the global leader in enterprise AI platforms and agentic applications, today named Uma Sandilya Chief Commercial Officer. Sandilya takes end-to-end ownership of sales, go-to-market (GTM), marketing, and strategy, uniting the company’s commercial functions under a single leader as enterprise buyers move agentic AI from pilots into production. 

Enterprise AI has reached the moment Kore.ai was built for. Buying decisions that once sat with individual departments now consolidate at the CIO level and cover the full lifecycle of AI agents rather than single tools. This appointment gives Kore.ai one commercial owner to meet it, accountable from first contact through delivered value. 

Sandilya joined Kore.ai in 2025 as Chief Growth Officer, bringing more than two decades of enterprise AI experience working with C3.ai and McKinsey. As Chief Commercial Officer, he takes direct leadership of the global sales organization, including the Americas and International sales teams, along with the growth, marketing, and corporate strategy functions. 

“Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale,” said Raj Koneru, Founder and CEO of Kore.ai. “The next phase of our growth requires a commercial organization built the way we built our platform: one foundation with one accountable owner. Uma has shaped our commercial engine since the day he joined, and he is the right leader to run it end to end.” 

The move caps a year of accelerating customer growth and expanding industry recognition. In May, the company launched the new-generation Kore.ai Agent Platform, Artemis edition. Gartner named Kore.ai a Leader in the Magic Quadrant™ for Conversational AI Platforms in 2025 and again in 2026. Forrester named the company a Leader in The Forrester Wave™ Conversational AI Platforms in multiple categories: Cognitive Search, Customer Service, and Employee Service. The Kore.ai platform now powers more than 11 billion interactions per year and has supported more than 500 large enterprises worldwide. 

“Every enterprise I’ve sat across the table from this year has asked the same question: how do we accelerate time to value from agent deployments? What sets Artemis apart is that it’s built for what comes after the first ten agents – the governance, the observability, the reliability enterprises need to scale,” said Sandilya. “My focus is to bring Artemis to more of the market through a unified growth, sales, and marketing engine, and deliver tangible business outcomes for our customers.” 

Kore.ai also appointed Rajavardhan Nalluri as Chief Customer Operations Officer, reporting directly to the CEO. Nalluri has spent more than 11 years at Kore.ai, where he has led engineering through multiple phases of growth while working directly with customers across industries. In the new role, he leads the company’s forward-deployed engineering, customer support, and cloud operations and infrastructure organizations. His mandate is to make customer delivery a competitive edge by ensuring predictable deployments, stronger support, deeper partner enablement, and measurable customer satisfaction as agentic AI moves into production. 

Alongside these two major appointments, Kore.ai also expanded the integrated demand generation organization under Chief Marketing Officer Peter Mullen. The commercial structure matches the position Kore.ai staked out with Artemis. Much of the market sells tools that create agents or control layers added after the fact. Kore.ai has built the harness: a single platform that builds, deploys, manages, and optimizes enterprise AI agents, with governance defined from the first line and enforced separately from the model. Artemis compiles that governance before any agent goes live, which lets enterprises operate AI systems that they can audit and scale.

Veraify Launches Groundbreaking AI-Native Security Platform Built for the AI Workforce Era

New Platform Puts Enterprises in the AI Drivers Seat, with More Control over Shadow AI, AI Workforce, and Sensitive Data Movement, Securing AI Adoption Without Slowing Innovation

SUNNYVALE, CA – July 22, 2026 – Veraify today introduced a new AI-native security platform designed to help enterprises safely adopt artificial intelligence at scale, powered by Cloudbrink. Veraify’s comprehensive, AI-native approach combines endpoint intelligence, AI-aware policy enforcement, data protection, and secure high-performance connectivity in one platform for AI governance, visibility, and protection.

Built for a world of AI agents, copilots, autonomous workflows, and shadow AI, Veraify gives organizations the visibility, governance, data protection, and guardian agent capabilities, along with the high-performance secure access required for the next generation of enterprise operations. Delivered under a new platform brand from Cloudbrink, Veraify is a next-gen approach to securing AI that addresses how AI gets used in a way that traditional ZTNA and SASE architectures don’t.

“As we evaluated AI security platforms, we found that many approached the problem using architectures designed for the SASE or web browsers,” said Aziz Kapadia, Field CISO at Cogent Security. “They could inspect browser traffic and some app traffic, but they weren’t built to provide visibility into the growing number of AI agents, desktop applications and embedded AI capabilities running directly in apps and on endpoints. We selected Veraify powered by Cloudbrink because its architecture was designed for where enterprise AI security is actually heading, not where it was yesterday.”

Veraify builds on Cloudbrink’s proven high-performance connectivity architecture and expands it into a complete AI security platform designed for how work is changing.

For the last decade, enterprise security architectures were built around humans accessing applications. AI changes that model.

AI agents, copilots, coding assistants, and autonomous workflows now access data, applications, APIs, and infrastructure directly. These interactions create new security challenges that traditional cloud proxy and browser-centric architectures were never designed to solve. According to a Gartner study, 69% of organizations suspect or have evidence that employees are using prohibited public GenAI tools. This unapproved “shadow AI” can significantly increase risk to an organization, leaving them vulnerable to privacy breaches and data loss from employees entering customer or employee data, proprietary company information, or code into an AI prompt while looking for help.

“Every major technology shift creates a new security architecture. The PC created endpoint security. The cloud created SASE. AI requires something different,” said Prakash Mana, CEO of Cloudbrink. “AI agents and assistants are becoming digital workers with access to enterprise data, but most companies have very limited visibility or control over what this AI technology is doing. We created Veraify to give enterprises the confidence to adopt AI safely.”

Veraify solves the most urgent AI security challenges  by empowering organizations to:

• Discover Every AI Interaction. Identify sanctioned and unsanctioned AI tools, agents, copilots, and services. Agent-based policy enforcement captures all AI traffic and enforces policy at the source/endpoint. AI traffic cannot bypass the agent, ensuring full visibility, governance controls, and evidence recording for compliance.
• Protect Sensitive Data Before It Leaves. Prevent employees and AI agents from exposing private information, code, customer data, or intellectual property. Advanced DLP capabilities include a built-in PII catalog to begin AI protection within minutes and eliminate constant DLP policy updates when PII data types and formats change. Multi-level content inspection monitors and secures PII across AI prompts, documents, or images, including images inside files uploaded to AI.
• Anticipate and Prepare for New AI. Automated learning and discovery of new AI platforms and agents that are not in the integrated top 100 AI catalog eliminates the need for customers to continually manually configure the detection logic for new platforms
• Govern Humans and AI Agents Together. Apply identity, device, data, and AI-aware policies from a unified control plane regardless of the origin.
• Secure AI Without Sacrificing Performance. Enable AI adoption without forcing users into slow legacy SASE and DLP architectures they then bypass, leveraging the Cloudbrink high-performance connectivity architecture.

Veraify is powered by Cloudbrink’s proven high-performance secure connectivity architecture, which was built from the beginning for a world where users, applications, and data are distributed everywhere. Veraify incorporates and expands the SAFE AI capabilities previously introduced by Cloudbrink, layering on new technology to give broader AI visibility, governance, endpoint-aware protection, and secure access capabilities into a unified AI-native platform.

Unlike traditional security models that force traffic through centralized inspection points, the Cloudbrink architecture provides the foundation for Veraify’s AI-native approach — delivering endpoint intelligence, zero-trust access, AI-aware policy enforcement, and high-performance connectivity without compromising the user experience.

“Cloudbrink provides the technology foundation. Veraify defines the next generation platform for securing AI adoption,” said Manohar Reddy, Head of Products at Cloudbrink. “Veraify extends the foundation we built with Personal SASE into this AI-native era — combining secure access, AI visibility, data protection, and performance into one platform. With Veraify, customers do not have to choose between enabling AI innovation and protecting the business. Organizations can get the controls they need to govern AI adoption while preserving the fast, seamless experience users expect.”

Veraify powered by Cloudbrink is available now. Current Cloudbrink customers can request Veraify for free for a limited time. For a demo of Veraify’s capabilities, go to: https://veraify.ai/book-a-demo/