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VAST Data Unlocks Real-Time, Multimodal AI Agent Intelligence with NVIDIA

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NVIDIA

VAST Data recently announced its integration of the VAST Data Platform with NVIDIA AI-Q to deliver a unified foundation for building, accelerating, and scaling AI agents across enterprise environments. By pairing the VAST Data Platform with the AI-Q NVIDIA Blueprint, VAST elevates the blueprint’s capabilities for optimizing real-time multimodal data access and intelligent agent orchestration for enterprise-scale AI systems.

A live demo of the joint VAST Data and NVIDIA collaboration was showcased during NVIDIA CEO Jensen Huang’s keynote at COMPUTEX, highlighting how enterprise AI agents can access and reason over multimodal and structured data in real time. Watch the demo replay here.

The NVIDIA AI-Q Blueprint, which was part of the keynote demo provides a reference implementation for rapid metadata extraction and establishes heterogeneous connectivity between agents, tools, and data. This approach simplifies the creation and operationalization of agentic AI query engines that reason across structured and unstructured data with transparency and traceability.

The VAST AI Data Platform brings together NVIDIA Blackwell accelerated computing, networking, and AI-Q Blueprint with VAST’s unified data platform, combining database, compute, and data services. This integration delivers real-time data access to enable intelligent agent orchestration for enterprise-scale AI systems that can now operate at unprecedented speed and scale.

The agentic era is going to challenge every assumption about the scale, performance, and value of legacy infrastructure,” said Jeff Denworth, Co-Founder at VAST Data. “As enterprises race to operationalize AI, it’s no longer enough to just build smarter models — those models need immediate, unrestricted access to the data that drives intelligent decision-making. By embedding NVIDIA AI-Q into a platform purpose-built for the AI era, we’re delivering the scalable, high-performance data platform required to power the next generation of enterprise AI; one driven by real-time, multimodal intelligence, continuous learning, and dynamic agentic pipelines.”

Through this integration, VAST provides enterprises with real-time, high-throughput access to multimodal enterprise data – including images, documents, chat, video, and email – enabling AI agents to continuously perceive, reason, and act on the full breadth of organizational knowledge. Using NVIDIA NeMo Retriever, the platform extracts, embeds, and reranks relevant data before passing it to advanced language and reasoning models. Together with NVIDIA AI-Q, the VAST Data Platform forms a secure, AI-native pipeline that transforms raw data into actionable insight—empowering enterprises to deploy intelligent multi-agent systems with full observability, traceability, and data sovereignty.

“AI-driven data platforms are key to helping enterprises put their data to work to drive sophisticated agentic AI systems,” said Justin Boitano, Vice President, Enterprise AI at NVIDIA. “Together, NVIDIA and VAST are creating the next generation of AI infrastructure with powerful AI systems that let enterprises quickly find insights and knowledge stored in their business data.”

With the VAST Data Platform and NVIDIA AI-Q integration, enterprises benefit from:

  • Multimodal RAG of Unstructured Data Without Limits: AI agents can seamlessly access and reason over unstructured and semi-structured data—including enterprise documents, images, videos, chat logs, PDFs, and even external sources like websites, blogs, and market data—enabling deep, context-aware insights across the full spectrum of enterprise and open content.
  • Native Access to Structured Enterprise Data: The VAST Data Platform connects AI agents directly to structured data sources such as ERP, CRM, and data warehouses, providing real-time, high-throughput access to operational records, business metrics, and transactional systems—ensuring AI-powered decisions are grounded in current, authoritative enterprise data.
  • High-Speed, Low-Latency Data Access: VAST’s disaggregated and parallel architecture ensures fast, concurrent access to petabyte- and exabyte-scale datasets—eliminating bottlenecks for inference and retrieval.
  • Real-Time Agent Optimization: NVIDIA Agent Intelligence toolkit combined with VAST’s native telemetry allows enterprises to evaluate, fine-tune, and accelerate multi-agent workflows in production.
  • Unified Global DataSpace: VAST’s global namespace and data cataloging capabilities make all enterprise knowledge discoverable and usable by agents anywhere in the organization.
  • Privacy-Preserving Integration: Enterprises can keep sensitive knowledge in place while enabling agents to reason and act without violating data governance or residency policies.
  • Enterprise-Grade Access Control: Robust security policies and fine-grained controls within the VAST Data Platform manage and regulate access to data, resources, and platform services—ensuring enterprise data is protected, governed, and only accessible by authorized users and AI agents.

VAST Data and NVIDIA are enabling organizations to build real-time AI intelligence engines that empower teams of AI agents to deliver more accurate insights, automate multi-step tasks, and continuously improve via an AI data flywheel.

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PHRMAG AND THE AUTHORITY OF SOCIAL CONTRIBUTION – MA’AN PARTNER TO ENHANCE ONCOLOGY AND RARE DISEASE CARE IN ABU DHABI

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The Pharmaceutical Research and Manufacturers Association in Gulf (PHRMAG), the region’s leading innovative biopharmaceutical research companies, and the Authority of Social Contribution – Ma’an, the Abu Dhabi Government’s official channel to receive social contributions, has announced a strategic collaboration aimed at enabling access  for oncology and rare disease patients most in need to innovative solutions and modern treatments, within an integrated framework aligned with the national health insurance system.

The collaboration brings together public and private sector to address a pressing issue, with a shared commitment to providing long-term impact, and continued care delivery for targeted patients. It further strengthens family stability resilience when facing health challenges, while contributing to broader social cohesion and supporting the objectives of the Year of the Family.

H.E. Abdullah Al Ameri, Director General of the Authority of Social Contribution – Ma’an, said:
“Our collaboration with PHRMAG represents a strategic step towards establishing a long-term and integrated healthcare system for oncology and rare disease patients in Abu Dhabi, reflecting our commitment to supporting key social priorities that matter to community members, particularly in the healthcare sector.

“At the Authority of Social Contribution – Ma’an, we are committed to directing social contributions and efforts towards creating tangible impact in the lives of the community members, including patients with complex medical conditions. This collaboration reflects a model of integrated roles between the public and private sectors, by leveraging the expertise of companies within ‘PHRMAG’ and unifying their efforts through the Authority’s platform, which ultimately contributes to enhancing access to specialised healthcare services, improving quality of life, and reinforcing the values of shared responsibility and social solidarity.”

The Authority will oversee allocation of contributions in line with agreed project milestones. A dedicated committee will also be established to monitor the initiative’s progress through monthly meetings aimed at assessing developments, providing the necessary strategic guidance, and reviewing progress achieved, ensuring effective collaboration and continuous knowledge exchange between both parties throughout the duration of the project.

H.E. Mohammed Abdullah Al Awadi, Executive Director of the Health System Financing Regulation Sector at the Department of Health – Abu Dhabi, said: “We are thrilled to witness the collaboration between the Authority of Social Contribution – Ma’an and PHRMAG, which will contribute to supporting our mission of ensuring accessible, world-class healthcare for community members, accelerating innovation and research within the healthcare sector, and advancing the early detection and treatment of rare diseases. This collaboration contributes to building a healthier society with longer, better wellbeing for individuals, while further strengthening Abu Dhabi’s position as a leading destination for innovation in life sciences.”

Sameh El Fangary, Chairman of PHRMAG, added: “As an industry association representing innovative pharmaceutical companies, we are committed to partnering with Abu Dhabi’s health and social authorities to ensure continuity of patients having access to treatment and care when needed. This collaboration with the Authority of Social Contribution – Ma’an reflects our shared ambition to co-create sustainable solutions that improve access to high-quality medical care for those who need it the most from oncology and rare disease patients.”

The partnership reflects Abu Dhabi’s ongoing commitment to strengthening collaboration between the public and private sectors, as an effective approach to addressing complex healthcare challenges.

-END-

About the Authority of Social Contribution – Ma’an

Established in 2019 by the Department of Community Development Abu Dhabi (DCD), The Authority of Social Contribution – Ma’an is the Abu Dhabi government’s official channel to receive social contributions, dedicated to uniting community efforts and fostering a culture of giving by collecting contributions, directing them towards social priorities, empowering social enterprises, and promoting volunteering to build a cohesive community.

The Authority supports projects that address social priorities in health, education, environment, infrastructure, and social services, aiming to nurture a collaborative and active community by connecting individuals and entities in the public, private, and civil society spheres to support their communities.

Contributions made to the Authority of Social Contribution – Ma’an are transparently deployed in full to social projects led by key partners meaning benefactors can maximise the impact their funds have in driving community engagement and providing access to essential resources, programmes, and funding for organisations across Abu Dhabi to achieve their Corporate Social Responsibility and sustainable development goals.

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UNGOVERNED AI AGENTS AND SOPHISTICATED DEEPFAKES POSE CRITICAL THREATS FOR THE UAE & SAUDI ARABIA ORGANISATIONS, NEW KNOWBE4 RESEARCH WARNS

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KnowBe4, the global leader in digital workforce security, securing both AI agents and humans, today announced the launch of its new research report, “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI.” The findings expose a dangerous reality for modern organisations in the United Arab Emirates and Saudi Arabia: autonomous AI tools are expanding the corporate attack surface faster than security teams can implement guardrails.

With agentic AI now widely embedded in day-to-day work, 84% of cybersecurity leaders in the UAE & Saudi Arabia report that AI agents are already taking actions within organisational workflows. However, a lack of governance is leaving organisations exposed; the report shows that around 1 in every 4 organisations (24%) report their use of AI is unapproved or ungoverned. This unmanaged “Shadow AI” effectively operates as an invisible layer of shadow employees handling sensitive organisational data without oversight.

Key Findings from the Report:

  • 88% of employees in the UAE & Saudi Arabia say that deepfake voice and video content is now so realistic it is impossible to know what to trust and 52% openly admit they could be tricked by a deepfake scam at work.
  • More than half (54%) of cybersecurity leaders in the UAE & Saudi Arabia report that mistakes during everyday work have had the greatest impact on their organisation’s cybersecurity in the past 12 months. Compounding this, 44% of employees acknowledge that time pressures and workplace distractions actively drive them to make critical security mistakes, even when they know the safe protocol.
  • 36% of cybersecurity leaders in the UAE & Saudi Arabia identify AI-enabled attacks as a key driver of future human-related cybersecurity risks.
  • 41% of employees reported that they commonly source their own agentic AI tools where options are unavailable or restrictive, leaving organisations vulnerable to cyberattacks. Concurrently, 52% of cybersecurity leaders report that the use of unsanctioned software and AI apps has actively impacted their security posture over the past 12 months.
  • Although 76% of security leaders feel “very well prepared” to handle unexpected or emerging AI-driven threats over the next year, 84% of them confirmed that improvements are still needed to ensure AI tools and agents operate within organization’s security policies and approved risk limits.

The report shows that organisations making progress are those who prioritise cybersecurity as a culture over a mere function, seamlessly incorporating secure behaviours into daily work. These organisations are creating environments where employees feel safe reporting mistakes, with 82% of employees agreeing.

“Cybersecurity has entered a volatile phase where organisations are trying to secure a hybrid human and AI workforce that’s changing more quickly than security leaders can keep up,” said Dr. Martin Kraemer, CISO Advisor at KnowBe4. “Attackers are moving at machine speed, using attacks such as deepfakes to target employees and prompt injections to hijack AI agents. Leaving almost a quarter of your corporate AI usage ungoverned is a massive open invitation to threat actors.”

The “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI” report concludes that achieving “Wins” requires organisations to design systems that guide behaviour, build supportive cultures, and shift from tracking failures to reinforcing positive actions, and extending a security-first mindset across both AI agents and humans.

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Cequence Platform 9.0 Puts an AI Security Expert in Every Team’s Hands

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Cequence Security, the leader in application, API, and agentic AI protection, today announced general availability of Cequence Platform 9.0, an AI-native release that fundamentally changes how users interact with API security tools. Platform 9.0 ships with a built-in AI Assistant, an open Model Context Protocol (MCP) server that exposes every platform capability to an organization’s agents or automation workflows, a compliance-ready risk rules library mapped to 25 global regulatory frameworks, and a re-architected API security engine built to handle the largest enterprise API estates without performance degradation.

Agentic AI is transforming how enterprises interact with their customers, and internal IT teams are adopting AI agents faster than their security tools can keep up. Unlike vendors that add a simple chatbot to their existing product, Cequence took the opposite approach; the entire platform is AI-native and open, enabling customers to use Cequence’s built-in model or one of their choosing. With Platform 9.0, any practitioner can open a conversation and start asking the questions they actually care about, without knowing the interface, navigating menus, or understanding how the product works. The platform finds the answers. Teams with sophisticated AI workflows can use their own agents to directly drive these same capabilities through the open MCP architecture, without the need for custom integration.

Ameya Talwalkar, CEO and Co-Founder at Cequence, said: “Most vendors looked at the agentic era and added a chatbot. We looked at it and rebuilt the architecture. Cequence Platform 9.0 exposes the entire Cequence platform through an open MCP architecture so any agent can operate it directly, whether through our built-in AI Assistant, or a customer’s own agent. That is what AI-native actually means: the UI becomes optional. We are building for the way the agentic enterprise already works, while making sure a human approves every change along the way.”

AI-Native Platform with a Built-In AI Assistant

Cequence Platform 9.0 ships with a built-in AI Assistant that answers plain-language questions such as “What is my biggest risk right now?” with ranked, evidence-backed findings drawn from live platform data. Unlike most security chatbots that only deliver value in the hands of experienced practitioners, the Cequence AI Assistant arrives with skills built on years of application, API, and data protection work in high-traffic enterprise environments, able to guide practitioners of all skill levels from day one.

Agent capabilities in Platform 9.0 include:

  • Drive valuable actions from simple conversations: use plain-English to easily and quickly drive results. Have the AI Assistant classify APIs, identify risks, draft rules, and create reports, all without navigating the UI.
  • Open MCP server: any MCP-capable agent, SOAR platform, or automation workflow can interact with, configure, and pull insights from the platform through an open API contract, with no custom integration, incorporating API security into broader agentic workflows
  • Human in the loop: read actions run freely; every proposed write shows the exact change and requires explicit human approval before anything happens
  • Full transparency: every answer exposes the AI Assistant’s reasoning and the underlying tool calls; when it lacks a tool for a task, it says so rather than guessing

Shreyans Mehta, CTO and Co-Founder at Cequence, said: “Most security chatbots are only as useful as the person asking the questions, which means they fall flat in the hands of anyone who is not already an expert. We built the Platform 9.0 agent differently. It runs a full agentic loop, planning which tools answer the question, calling them, and synthesizing ranked, evidence-backed recommendations while showing you exactly how it got there. When it does not have the tool to do something, it tells you instead of guessing. That governance-first design is not an afterthought. It is the same conviction behind the Cequence AI Gateway, and it is what makes this safe to put in front of any practitioner from the start.”

Compliance-Ready Risk Rules and Compliance Packages

Compliance is the most common forcing function for an API security purchase, and the most common place programs stall. Platform 9.0 ships the rules, frameworks, and reports to make customers audit-ready immediately, with no professional services and no custom rule development required.

Compliance capabilities in Platform 9.0 include:

  • 250+ pre-built risk rules: Mapped to 25 global compliance frameworks including OWASP API Security Top 10 (all versions), PCI DSS, GDPR, HIPAA, SOC 2, ISO 27001, NIST CSF, DORA, NIS2, LGPD, SAMA, MAS TRM, and additional regional frameworks across the Americas, EMEA, and APAC
  • One-click audit-ready reports: each report builds from live data, maps findings to the framework’s specific controls, scores risk by control area, and provides remediation guidance for every gap; reports can be company or partner branded
  • Observe mode: see how proposed rules perform for testing purposes without raising formal issues, allowing teams can add frameworks without a flood of unreviewed findings
  • Test panel: validates any rule against sample request and response data before activation

Re-Architected API Security Engine Built for Enterprise Scale

Agentic AI is accelerating API endpoint growth faster than any prior technology wave. Platform 9.0 includes a complete rebuild of the engine that discovers, catalogs, and scores risk across an organization’s API estate, delivering higher performance at a smaller CPU footprint.

API security engine improvements in Platform 9.0 include:

  • 50x increase in API endpoints supported: with sub-five-second page load times across every view regardless of endpoint count
  • Reduced compute costs: dramatic CPU footprint improvements translate directly into lower infrastructure costs, especially for on-premises deployments
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