Dubai, UAE, 23rd February 2026, ZEX PR WIRE, As enterprises accelerate the adoption of AI from experimentation to mission-critical operations, trust has become the defining factor of success. Quality, security, and responsible governance are now foundational requirements for enterprise AI deployment.

Magure, a UAE-based enterprise AI company, today announced that it has achieved ISO 9001:2015, ISO/IEC 27001:2022, and ISO/IEC 42001 certifications, marking a significant milestone in its commitment to building enterprise-ready AI systems that are reliable, secure, and responsibly managed.

With these certifications, Magure joins a top few organizations globally and among the early enterprises in the UAE to demonstrate compliance across quality management, information security, and AI management systems, reinforcing its position as a trusted partner for enterprises deploying AI at scale.

Building Enterprise AI on Quality, Security, and Responsibility

As AI becomes embedded into core business operations, enterprises face growing challenges around operational reliability, data security, regulatory compliance, and ethical oversight. Magure’s certifications reflect a deliberate, systems-level approach to addressing these challenges across the entire AI lifecycle.

• ISO 9001:2015 for Quality Management Systems validates Magure’s quality management practices, ensuring AI solutions are designed, delivered, and continuously improved through consistent, repeatable processes that support reliable, production-grade enterprise deployments.

• ISO/IEC 27001:2022 for Information Security Management Systems confirms that information security, privacy protection, and operational resilience are embedded across Magure’s platforms and services, safeguarding enterprise data and AI operations throughout the AI lifecycle.

• ISO/IEC 42001:2023 for AI Management Systems, the world’s first international standard for Artificial Intelligence Management Systems, recognizes Magure’s structured approach to managing AI responsibly – embedding transparency, accountability, and oversight into how AI systems are governed, operated, and scaled.

Together, these standards form a unified foundation for enterprise AI that can be trusted in real-world, regulated, and high-impact environments.

Read more about how Magure operationalizes security, compliance, and responsible AI across the AI lifecycle: https://www.magureinc.com/security-and-trust

Aligning Global ISO Standards with the UAE’s Vision for Responsible AI

As a UAE-based AI company, Magure’s ISO certifications also align with the region’s broader vision for responsible and secure AI adoption. The principles embedded in ISO 9001, ISO/IEC 27001, and ISO/IEC 42001 closely reflect the expectations set by initiatives such as the UAE National AI Strategy 2031, DIFC’s data protection framework, and Dubai’s AI security policies, ensuring enterprise AI systems are built with trust, accountability, and resilience at their core.

Magure’s ISO certifications complement the principles outlined in key national and regional initiatives, including:

• DIFC’s Data Protection and AI-related regulatory guidance, which emphasize transparency, accountability, and responsible handling of automated decision systems

• Dubai Electronic Security Centre’s AI Security Policy, which calls for security-by-design, risk management, and resilience across AI-enabled systems

• Abu Dhabi Government’s Digital Strategy, focused on trusted digital infrastructure, secure innovation, and responsible adoption of advanced technologies

• The UAE National Strategy for Artificial Intelligence 2031, which promotes ethical AI development, strong governance, and global leadership in AI innovation

By aligning internationally recognized ISO standards with these regional frameworks, Magure enables enterprises operating in the UAE and beyond to adopt AI systems that are secure, well-governed, and designed for long-term trust.

How These Standards Power Magure’s Agentic AI Platform

At the core of Magure’s platform strategy is MagOneAI, a unified, end-to-end agentic AI platform designed to help enterprises build, deploy, and manage autonomous AI applications that integrate with enterprise data sources and operational workflows.

The three ISO standards are embedded directly into how MagOneAI operates:

• Quality by design (ISO 9001): Standardized, lifecycle-wide processes govern how agentic AI applications are designed, deployed, monitored, and improved, ensuring predictable performance from experimentation through production.

• Security by default (ISO/IEC 27001): Role-based access controls, encrypted data handling, environment segregation, continuous monitoring, and audit-ready logging protect sensitive enterprise data as AI agents operate autonomously.

• Responsible AI management (ISO/IEC 42001): Clear accountability, transparency into agent behaviour, policy-driven controls, risk management, and lifecycle governance ensure AI systems remain observable, controllable, and compliant as they scale.

This integrated approach enables enterprises to move beyond isolated AI pilots and deploy autonomous, production-grade AI systems with confidence.

Extending the Same Standards Across the Magure AI Ecosystem

The same ISO-aligned principles extend across Magure’s broader AI ecosystem. MagLabs, Magure’s use-case discovery and AI workflow environment, applies these standards from early experimentation through operational readiness, while MagVisionIQ, its computer vision platform, operates under the same disciplined quality, security, and responsible AI practices for real-world deployments.

Together, these platforms provide enterprises with a consistent, governed foundation for scaling AI, without fragmentation as use cases grow in complexity and impact.

A UAE-Based AI Tech Company, Built for Global Enterprise Standards

As a company headquartered in the UAE, Magure’s achievement reflects the region’s growing role in shaping the future of enterprise AI. By aligning with globally recognized ISO standards, Magure enables organizations across industries like technology, financial services, healthcare, manufacturing, retail, and government – to adopt AI in a way that meets international expectations for quality, security, and responsibility.

Looking Ahead

While the certifications mark an important milestone, Magure views responsible, secure, and high-quality AI as an ongoing commitment.

“As AI systems become more autonomous and deeply integrated into business operations, enterprises need more than innovation-they need assurance,” said Akhil Koka, CEO Magure. “These certifications validate the way Magure builds and manages AI systems and reinforce our mission to help enterprises scale AI with confidence, accountability, and long-term trust.”

About Magure

Magure is a UAE-based enterprise AI company specializing in agentic AI platforms, AI lifecycle management, and real-world AI deployment. Through platforms such as MagOneAI, MagLabs, and MagVisionIQ, Magure helps organizations design, deploy, and scale AI systems that are secure, reliable, and responsibly managed.

For more information, visit: http://www.magureinc.com/

XFIREAI has launched an AI‑driven blockchain intelligence platform in early access, giving users interactive maps and AI‑powered analytics to better understand complex on‑chain activity, with the first two stages of its fifteen‑stage roadmap already delivered on schedule.

Sheridan, WY, United States, 23rd Feb 2026 – XFIREAI (https://xfireai.com), an AI‑driven blockchain intelligence and security platform, today announced the launch of its early‑access platform, introducing a new way for users to visualize and analyze complex on‑chain behavior in real time.

Rather than asking users to interpret raw blockchain data or read through long transaction lists, XFIREAI presents activity as interactive maps, relationship diagrams, and structured analytics views. The goal is to make it easier for both experienced participants and newer users to understand what is happening behind the addresses, contracts, and projects they interact with.

The platform is currently available through a password‑protected early‑access program that admits users in phases. This controlled rollout allows the team to observe real usage, collect feedback, and steadily refine features before opening wider access.

New Approach to Seeing On‑Chain Activity

XFIREAI’s product roadmap is organized into fifteen stages. The company has confirmed that the first two stages have been released on schedule, delivering a set of core analytics modules focused on transaction flow and address behavior.

The initial modules include:

• Interactive transaction mapping – Users can follow fund movements across multiple wallet hops in a visual graph interface, reviewing how assets move between addresses over time.
• Address relationship and pattern views – The platform highlights how wallets are connected through historical activity and surfaces complex flows, such as clustering or recurring circular movement, that may merit closer analysis.

By combining these views, XFIREAI provides a layered picture of how value and activity move across a network. This is intended to support users who want more context before they choose to interact with a particular address, token, or application.

AI‑Powered Blockchain Intelligence Layer

Under the hood, XFIREAI is building an AI‑powered intelligence layer that organizes and interprets on‑chain data at scale. The system is designed to:

• analyze transaction sequences and contract interactions,
• highlight activity patterns that differ from typical behavior, and
• deliver contextual information around wallet and contract histories in a structured format.

Instead of positioning itself purely as a data provider, XFIREAI focuses on transforming raw blockchain records into structured insights that can be reviewed quickly, making it easier to compare projects, review counterparties, or understand how a network is being used.

Roadmap Focused on Analytics, Security, and Integrations

Beyond the first two stages, XFIREAI’s fifteen‑stage roadmap outlines upcoming releases grouped into three main pillars:

• Advanced analytics modules – expanded transaction views, portfolio‑level dashboards, time‑series behavior analysis, and deeper address profiles.
• Security and monitoring tools – modules designed to support due‑diligence workflows, contract‑interaction analysis, and configurable monitoring of specific on‑chain events.
• Ecosystem and integration features – API access for partners, collaboration features for teams, and role‑specific interfaces for different categories of users, from individual traders to organizations.

Each stage is planned around concrete feature sets. As early‑access users work with the platform, their usage patterns and feedback are used to adjust priorities and refine upcoming releases.

24/7 Support and Feedback‑Driven Development

From its earliest phase, XFIREAI has implemented 24/7 support for platform users. The support operation is intended to assist with onboarding, technical questions, and product feedback, and to ensure that users have a direct communication channel with the team.

This always‑on support, combined with a staged rollout, is intended to keep development closely aligned with how the platform is used in practice. As more stages of the roadmap are completed, XFIREAI plans to share additional updates and milestones regarding new modules, network coverage, and integration partners.

About XFIREAI
XFIREAI is a blockchain intelligence and security platform focused on turning complex on‑chain data into clear, structured insights for crypto users and organizations. By combining AI‑driven analytics, visual exploration tools, and a multi‑stage roadmap of new modules, XFIREAI is developing infrastructure aimed at supporting transparency, monitoring, and informed decision‑making in digital asset markets.

Media Contact
Website: https://xfireai.com

Media Contact

Organization: XFireAi

Contact Person: Stephan Palao

Website: https://www.xfireai.com/

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Address:30 N Gould St Ste N

City: Sheridan

State: WY

Country:United States

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