
Tenable appoints Steve Vintz and Mark Thurmond as Co-CEOs
Following an extensive search process that considered both internal and external candidates, the Board concluded that Vintz and Thurmond are best positioned to move the company forward. The decision reflects the Board's confidence in the strength of their leadership following a successful interim period during which they drove significant operational and strategic momentum. The Board also intends to appoint Vintz and Thurmond to the Board immediately following the company's annual shareholder meeting to be held on May 14, 2025.
Vintz, Tenable's Chief Financial Officer since 2014, and Thurmond, who has served as Chief Operating Officer since 2020, bring deep industry and operational experience. Under the co-CEO structure, Vintz will oversee product, cyber security, corporate development and all general and administrative functions, while Thurmond will oversee GTM functions including sales, professional services, technical support, marketing, and customer success. Together, they will continue to guide the company's mission to help organisations understand and reduce cyber risk across their modern attack surfaces.
'Mark and Steve have demonstrated exceptional leadership and alignment during their time as interim co-CEOs', said Art Coviello, Chairman of the Tenable Board of Directors. 'Their collaborative leadership style, deep industry knowledge, and customer-first mindset have already created strong results. We are confident in their ability to continue driving innovation and long-term value for all stakeholders'.
Under their interim leadership, Tenable has expanded its customer footprint, with strong adoption of the Tenable One Exposure Management platform and growing momentum behind Tenable Cloud Security. They also completed the strategic acquisition of Vulcan Cyber, advancing Tenable's product roadmap with the expected launch of a significantly expanded version of Tenable One that we believe will be the most comprehensive exposure management platform on the market.
'We are honoured to lead Tenable as co-CEOs and energized by the opportunity ahead', said Vintz and Thurmond in a joint statement. 'We have tremendous belief in Tenable's mission, team and market position, and we're excited to build on our momentum to deliver meaningful outcomes for our customers, employees and shareholders'.
Coviello, a respected cybersecurity leader, will remain Chairman of the Board. Additionally, Steve Vintz will continue to serve as Chief Financial Officer, while the company conducts a CFO search.
Image Credit: Tenable

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


TECHx
5 days ago
- TECHx
Qlik Trust Score for AI Now Available in Talend Cloud
Home » Tech Value Chain » Global Brands » Qlik Trust Score for AI Now Available in Talend Cloud Qlik®, a global in data integration, data quality, analytics, and artificial intelligence, has announced the general availability of Qlik Trust Score™ for AI. This innovation is now included within Qlik Talend Cloud®. It helps organizations assess whether data is truly ready for AI before it reaches a model. The Qlik Trust Score for AI introduces purpose-built scoring across AI-specific dimensions. It is designed to help companies establish strong data foundations for responsible and scalable AI. As AI adoption grows, many businesses face a critical challenge they don't know if the data feeding their models is trustworthy. Qlik's solution addresses this by offering a single, intuitive score that reveals where data trust breaks down. This helps prevent bias, drift, and faulty outcomes. Drew Clarke, EVP of Product and Technology at Qlik, stated, 'Most companies still treat data trust like an IT hygiene issue. It's not. It's the foundation of every AI decision a business makes.' He added that without the ability to measure trust, organizations are gambling with outcomes, compliance, and customer experience. The Qlik Trust Score for AI provides a real-time signal that data is fit for purpose. This tool builds on Qlik's existing Trust Score framework with three new AI-focused dimensions: Diversity: Measures representativeness and balance to reduce training bias. Timeliness: Assesses freshness of data for relevant decision-making. Accuracy: Flags values that break business rules or lack reliability. These features combine with metrics like Discoverability and Usage. The solution supports AI training, Retrieval-Augmented Generation (RAG) pipelines, and intelligent automation. Security and LLM Readiness metrics are expected in future updates. Qlik also revealed plans for Trust Score historization, enabling users to track trends over time. This helps correlate trust shifts with issues like model drift or performance drops. In addition, Qlik reported an early access program for an AI-native Data Stewardship experience in Qlik Talend Cloud. Launching this fall, the feature aims to detect and resolve data issues earlier. It will include automated rules, human-in-the-loop workflows, and platform-wide governance. Ritu Jyoti, Group VP/GM at IDC, noted that many AI initiatives fail because of untrustworthy data. 'Without visible metrics for data trust, organizations risk costly failures and stalled adoption,' she said. Charles Link, Senior Director of Data and Analytics at Reworld, emphasized that trust in data is critical. 'The hardest part of AI is rarely the model. It's trusting the data behind it,' he said. A recent Qlik survey revealed only 42% of executives fully trust AI-generated insights, despite nearly 90% seeing AI as vital to their strategy. Qlik Trust Score for AI helps bridge this trust gap with an objective and repeatable framework. It aligns with emerging governance standards. Qlik is the first to deliver a unified, AI-specific trust signal directly into the data pipeline. It integrates measurement, monitoring, and remediation in one platform. The feature is now generally available for Qlik Talend Cloud Enterprise Edition customers.


Web Release
5 days ago
- Web Release
Hyra Network Honored as 'Technology Startup of the Year' at the 2025 Globee® Awards
Hyra Network Honored as 'Technology Startup of the Year' at the 2025 Globee® Awards The digital economy has witnessed transformative platforms that fundamentally changed resource sharing: Grab revolutionized transportation, Airbnb transformed hospitality, and Shein disrupted supply chains. Now, a Vietnamese technology company is redefining the next frontier-computational power sharing itself. Hyra Network has been officially named 'Technology Startup of the Year' at the prestigious 2025 Globee® Awards for Technology, marking a watershed moment for decentralized artificial intelligence infrastructure. This recognition validates an ambitious vision that could reshape how the world builds, owns, and benefits from AI technology. (Official winner list available at: The Vision Behind Innovation This breakthrough platform is researched and developed by Hyra Tek JCS (Vietnam) and operated by Hyra Tek Smart Solution L.L.C (UAE). Hyra Network's mission is to democratize computational power by activating billions of idle devices and transforming everyday users into AI infrastructure providers. Hyra Network serves as the flagship platform alongside Hyra AI, creating an unprecedented model where computational resources are shared across distributed networks rather than concentrated in centralized data centers. If ride-sharing optimizes vehicle utilization and home-sharing maximizes property efficiency, then computational sharing unlocks vast processing power lying dormant in smartphones, computers, and IoT devices globally. Global Recognition for Excellence The Globee® Awards represent the technology sector's highest honor, with winners selected by over 100 seasoned professionals including C-suite executives, venture capitalists, and industry analysts. 'This honor transcends our company – it validates the entire movement toward democratized AI infrastructure,' said Mr. Jonh Tran, Founder of Hyra Network. 'We're witnessing global acknowledgment that the future of AI belongs not to centralized monopolies, but to communities that collectively own and benefit these powerful technologies.' The decentralized AI infrastructure and compute resource-sharing model of Hyra Network Pioneering Community-Powered AI At its core, Hyra Tek's innovation centers on Hyra AI, one of the world's first Train-to-Earn platforms. This system allows users to convert personal devices into active AI training nodes, earning rewards while contributing to advanced model development. The Layer-3 blockchain architecture supports high-throughput, low-latency workloads, enabling scalable AI training and inference at the network's edge. The economic model creates a virtuous cycle: participants provide computational resources, earn tangible rewards, and simultaneously advance AI capabilities that benefit the broader ecosystem. Global Impact Today, the Hyra ecosystem spans more than 205 countries, powering a global network of approximately 2.5 million connected devices, including 700,000 active online nodes and over 1 million KYC-verified users. With strong community engagement across Southeast Asia, Latin America, and Africa, Hyra delivers more than 360,000 teraflops of distributed computing power and supports a growing base of enterprise clients – now serving over 10 paying customers. This real-world adoption reaffirms Hyra's core belief: that distributed, permissionless infrastructure can drive meaningful innovation while remaining truly open and accessible to all. As artificial intelligence and DePIN technologies gain momentum, Hyra positions itself at the technological vanguard, architecting the foundation for a more equitable, intelligent, and inclusive AI future.


TECHx
6 days ago
- TECHx
NetApp Reports Global Race for AI Leadership Intensifies
Home » Emerging technologies » Artificial Intelligence » NetApp Reports Global Race for AI Leadership Intensifies NetApp®, the intelligent data infrastructure company, has released a new report titled The AI Space Race . The report examines which countries are leading the competition to become global AI innovation leaders. The findings are based on a survey of CEOs and IT executives from the U.S., China, the U.K., and India. NetApp revealed that while some countries are ahead, every region has the potential to succeed in the race for AI dominance. According to the report, AI is now essential for business success. The region that leads in AI will gain advantages in economic growth, quality of life, and political influence. NetApp emphasized that organizations must make their data accessible, secure, and scalable to generate valuable AI outcomes. Gabie Boko, CMO at NetApp, compared the AI race to the 1960s space race. She stated that intelligent, scalable, and secure data infrastructure will be key to gaining an edge. Companies that get their data ready for AI will unlock business insights and operational efficiencies. The report highlighted that: 81% of global respondents are piloting or scaling AI projects. 88% say their organizations are mostly or completely ready for AI transformation. Respondents from India (29%) and the UK (32%) reported feeling increased pressure to compete. China and the U.S. are seen as current frontrunners. However, NetApp noted that all countries are investing heavily, and the field remains wide open. Regional strategies also differ. In China, 35% of leaders focus on scalability, 11% higher than the global average. Meanwhile, the U.S., U.K., and India prioritize integration with existing systems, aiming for long-term value. NetApp also reported misalignment in China between CEOs and IT leaders. While 92% of Chinese CEOs claimed active AI projects, only 74% of IT leaders agreed. In contrast, the U.S. showed stronger internal alignment, with 61% of both groups rating their organizations as AI-ready. Despite optimism, challenges remain. Globally, 79% expressed concerns about poor data strategies leading to broken models and biased AI insights. Russell Fishman, Senior Director of Product Management at NetApp, stated that strong data infrastructure and cloud solutions are vital for AI success. He said organizations that invest in intelligent data infrastructure will extract the most value from AI. NetApp emphasized that an AI-ready infrastructure must be secure, agile, and scalable. It should enable seamless cloud transitions, cost control, and adaptability. As AI shifts from content generation to action, NetApp reported that data-level security is essential. Only intelligent infrastructure can ensure trust and control while moving fast in the global AI race.