Infosys, a leading provider of AI-driven consulting and technology solutions, has partnered with the Association of National Advertisers' (ANA) Global CMO Growth Council and LIONS, the organization behind the Cannes Lions International Festival of Creativity, to introduce the CMO AI Hub. The new platform leverages artificial intelligence to foster knowledge-sharing among Chief Marketing Officers by consolidating expertise, insights, and experiences from top marketing leaders and organizations around the world.

Powered by Infosys Aster, the company's AI-enhanced marketing platform, the CMO AI Hub integrates curated content from the ANA, LIONS, and the Infosys Knowledge Institute, Infosys' research division. The platform provides a secure, conversational environment specifically designed for senior marketing executives. It incorporates strong governance measures, privacy-focused architecture, and human oversight to ensure reliability, trust, and enterprise-level scalability.

Created exclusively for members of the ANA Global CMO Growth Council, the Hub converts the collective expertise of the marketing community into an on-demand resource. CMOs can describe business challenges using natural language and receive tailored insights generated from research, case studies, and executive viewpoints, helping them make faster and more informed decisions.

The initiative addresses a key concern among marketing leaders: understanding and adapting to the growing influence of AI. The launch coincides with the release of the CMO AI Playbook, developed by the Infosys Knowledge Institute through extensive research, including interviews with CMOs, discussions with marketing executives at global industry events, and contributions from ANA members. While the Playbook documents these findings, the AI Hub transforms them into a practical, everyday decision-support tool.

Key features of the CMO AI Hub include:

Nick Primola, Group Executive Vice President at the ANA and head of the Global CMO Growth Council, noted that CMOs were seeking actionable guidance that could support critical decision-making in real time. He said the AI Hub transforms the collective knowledge of leading marketers and industry experts into a readily accessible resource, helping members make better-informed decisions in a fast-moving marketing environment.

Simon Cook, CEO of LIONS, emphasized that the Growth Council was established to unite world-class marketers and accelerate growth opportunities. He described the AI Hub as a significant advancement of that vision, giving members immediate access to the community's collective expertise. Cook also highlighted that AI and creativity work best together, combining human judgment with technological speed while keeping people at the heart of the process.

Sumit Virmani, Global Chief Marketing Officer at Infosys, stated that AI offers marketers an opportunity to expand beyond operational efficiencies and strengthen marketing's contribution to business growth. By blending the expertise of leading marketers with an AI-enabled platform, the CMO AI Hub turns scattered information into shared intelligence, empowering marketing leaders to make smarter decisions and generate greater business value.

Valona Intelligence has unveiled its new Model Context Protocol (MCP) server, a solution designed to connect artificial intelligence platforms with external intelligence sources. As an open standard, MCP enables enterprise AI tools and agent frameworks—including Microsoft Copilot, Claude, and others—to access Valona's market and competitive intelligence directly within their workflows.

Artificial intelligence has become a standard component of modern business operations. According to McKinsey's 2026 research, nearly 90% of organizations now utilize AI technologies. However, as AI adoption becomes widespread, the differentiating factor is no longer access to the technology itself, but the quality and relevance of the information powering it.

"Organizations gain an advantage not from AI alone, but from the intelligence feeding those systems," said Stuart Reynish, Chief Product Officer at Valona. "Our MCP server allows enterprise AI platforms to draw upon continuously updated market and competitive insights. Rebuilding the same analysis repeatedly is both costly and inconsistent. Decision-making requires intelligence that is accurate, current, and immediately actionable."

The company believes that strategic decision-making is evolving from periodic research efforts to a model of continuous intelligence. Instead of requiring AI agents to generate analysis from raw information every time, Valona's MCP server provides access to a curated and constantly maintained intelligence foundation that is readily available whenever needed.

"The intelligence layer is the most challenging element to develop effectively, and we've spent more than twenty years refining it," said Eetu Laaksonen, Chief AI Officer at Valona. "MCP enables us to integrate that intelligence into the AI tools our customers already rely on, while also supporting the broader AI ecosystems they are building."

Laaksonen noted that interest in enterprise-wide intelligence is expanding beyond competitive market intelligence teams. "We're increasingly engaging with IT departments and senior executives because intelligence is becoming a strategic capability across the organization. Customers are telling us they want critical insights delivered proactively, rather than having to search for them."

Valona is currently working with a select group of enterprise customers to pilot the MCP server within Microsoft Copilot and agent-driven AI environments. The company plans to showcase the technology during its webinar, What Agentic AI Means for Competitive Intelligence, scheduled for June 24.

OrcaRouter has introduced Routing DSL, a flexible and programmable routing framework designed to give developers greater control over how AI requests are analyzed, directed, executed, and optimized across multiple models.

Rather than relying on fixed model-selection mechanisms, Routing DSL enables organizations to create customized routing workflows using YAML configurations and CEL expressions. This allows AI requests to be dynamically routed based on factors such as task complexity, use case requirements, latency thresholds, budget constraints, safety considerations, and business-specific policies.

With Routing DSL, developers can implement advanced orchestration strategies, including:

Integrated directly into OrcaRouter's AI Gateway, Routing DSL supports more than 200 leading AI models through a single OpenAI-compatible API endpoint.

According to internal testing, thoughtfully designed Routing DSL configurations can deliver performance approaching that of advanced frontier models such as Claude Fable 5 while substantially lowering inference costs.

Instead of assigning every request to a single premium model, organizations can leverage Routing DSL to coordinate specialized models and parallel processing strategies, allocating computational resources only where they create meaningful improvements in output quality.

This approach introduces a new perspective on AI infrastructure:

Superior intelligence can be achieved through effective orchestration, not solely through larger models.

As AI applications become increasingly autonomous and agent-driven, routing decisions are evolving from a simple model-selection function into a critical component of application architecture.

Routing DSL serves as a programmable control layer for AI workloads, allowing organizations to define how intelligence is assembled, managed, governed, and optimized within production environments.

When combined with OrcaRouter's adaptive routing capabilities, observability tools, governance framework, safety guardrails, and Agent Firewall, Routing DSL provides a comprehensive platform for building scalable, reliable, and cost-effective AI systems.

Routing DSL is now available to all OrcaRouter users.
Documentation:
https://docs.orcarouter.ai/routing/routing-dsl
Learn more about OrcaRouter:
https://www.orcarouter.ai
Supported Models:
https://www.orcarouter.ai/models

OrcaRouter
Phone: +1 650-609-7501
Email: 416828@email4pr.com

Identity security provider Silverfort has announced a new integration that brings advanced identity protection capabilities to AI agents built within Microsoft Copilot Studio. The integration enables real-time identity security enforcement, allowing organizations to apply intelligent access controls exactly when an AI agent attempts to perform an action. Unauthorized requests can be blocked before execution, helping prevent security incidents before they occur.

AI agents developed through Copilot Studio are capable of authenticating users, accessing enterprise data, initiating workflows, and interacting with systems across both cloud and on-premises environments. Since these activities are linked to human users with varying permission levels as well as multiple machine identities, they create complex authentication and authorization chains that can introduce security risks, including privilege escalation.

According to Microsoft, more than 80% of Fortune 500 organizations are actively deploying AI agents created using low-code or no-code development platforms. Additionally, nearly 29% of employees are already utilizing unsanctioned AI agents in their daily work. While business teams increasingly adopt AI solutions through platforms such as Copilot Studio, responsibility for managing associated security risks remains with identity and security leaders.

Ron Rasin, Chief Strategy Officer at Silverfort, emphasized that identity lies at the heart of AI security. He noted that AI agents become more capable as their access to enterprise resources expands, but without comprehensive identity intelligence, organizations cannot accurately determine whether an agent’s actions are legitimate or excessive. He added that Silverfort’s integration with Microsoft Copilot Studio highlights the importance of runtime identity enforcement as a critical requirement for secure AI deployment.

Real-Time Access Control at Runtime
Silverfort integrates directly with the Copilot Studio environment to provide access decisions in real time. Whenever an AI agent requests permission to use a tool, application, or function, Silverfort evaluates the request and issues an authorization decision before the action is carried out. This proactive approach helps organizations prevent unauthorized access, privilege misuse, and unintended actions before they impact business operations.

Key capabilities of Silverfort’s runtime enforcement include:

Ankur Arora, Principal Group Product Manager at Microsoft, stated that the integration extends security controls directly to the point of access. Rather than providing visibility after an action has occurred, the solution evaluates and governs every access request in real time before execution.

Unified Security Across Diverse AI Ecosystems
Most enterprises operate multiple AI platforms rather than relying on a single agent framework. As a result, organizations often manage AI agents built with Copilot Studio alongside internally developed and third-party solutions, creating fragmented security oversight.

Silverfort addresses this challenge by providing centralized visibility and identity-based controls across:

Advancing Enterprise AI Security
The Copilot Studio integration aligns with Silverfort’s broader vision of establishing identity as the primary security control layer for AI-driven enterprises. As a long-term Microsoft collaborator and former Microsoft Partner of the Year, the company continues to expand its capabilities for securing hybrid and cloud environments. Silverfort is also working closely with Microsoft on the development of additional AI-focused security innovations.

As organizations transition from AI experimentation to large-scale operational deployment, identity management is becoming the critical mechanism that governs what AI agents are permitted to do. Silverfort supports this shift by delivering identity-based enforcement at enterprise scale, processing more than 10 billion authentication events every day across over 1,000 organizations worldwide, including several Fortune 50 enterprises.

The company is also investing in AI security research, focusing on areas such as prompt injection detection and jailbreak prevention through recursive language modeling (RLM) and related technologies. By combining deep integration with Microsoft platforms, extensive identity telemetry, and ongoing AI security innovation, Silverfort aims to establish identity security as a cornerstone of the modern agentic enterprise.

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As part of New York Tech Week, MuleRun hosted its event, "Go AI Native with MuleRun – Key Features Update," on June 3, bringing together professionals from fintech, e-commerce, marketing, and technology sectors to discuss the growing adoption of AI agents and what it takes for organizations to become truly AI-native.

Featured Industry Leaders
The event showcased insights from three prominent speakers:

Building an AI-Native Future with MuleRun
During his keynote presentation, Cheng Fu highlighted how AI agents have evolved from experimental concepts into practical tools deployed at scale. He emphasized that the true innovation lies not in the technology itself, but in integrating AI as a reliable and collaborative partner within teams. According to Fu, anyone can now create AI agents tailored to their specific workflows, making AI-powered productivity accessible today rather than a distant possibility.

Designed to support organizations of every size—from solo entrepreneurs and small businesses to large enterprises—MuleRun enables companies to transition toward AI-native operations. Within just eight months of launch, the platform has attracted more than one million users and continues to strengthen its presence in the enterprise market.

Panel Discussion: AI as a Partner, Not a Replacement
During the panel discussion, speakers agreed that organizations often struggle with AI adoption when they view the technology as a direct replacement for employees rather than a tool that complements human expertise. They stressed the importance of maintaining strong business fundamentals and human judgment alongside AI implementation.

Cheng Fu described AI as a highly capable analytical assistant that can automate a significant portion of repetitive work, allowing employees to focus on creativity, strategic thinking, and relationship-building. Rather than relying solely on specialized AI engineers, he encouraged companies to empower frontline employees to develop AI-driven solutions that improve their own workflows.

The panel also noted that future success will depend on professionals who combine technical proficiency with strong interpersonal and creative skills. Ultimately, the discussion concluded that AI's greatest impact will come from transforming how organizations operate. Enterprises that successfully embrace AI-native ways of working will be best positioned to unlock gains in both efficiency and innovation.

“AI should not replace human judgment—it should enhance it,” said Cheng Fu, Principal Product Manager, MuleRun.

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