
Tenable One platform adds connectors & custom risk dashboards
Tenable has announced new enhancements to its Tenable One platform, expanding its exposure management capabilities with the introduction of third-party data connectors and unified, customisable risk dashboards.
The Tenable One platform, powered by Tenable ExposureAI and built upon the Tenable Data Fabric, now allows organisations to consolidate cybersecurity data from both Tenable and external sources. This provides a unified view of assets, exposures, and cyber risk, delivering what the company describes as integrated insights for security teams.
The platform features a growing ecosystem of out-of-the-box connectors. These enable integration with a variety of third-party tools commonly used for endpoint detection and response (EDR), cloud security, vulnerability management, operational technology security, and ticketing systems. With these integrations, security data is unified across different products, allowing for comprehensive risk assessment.
According to Tenable, large organisations often rely on numerous security solutions - an average of 83 different tools, as reported by IBM in January 2025. This leads to fragmented data, operational inefficiencies, and potential blind spots in security coverage. The Tenable One platform aims to address these challenges by consolidating data from both native and external sources into a single contextualised view. This, in turn, supports more informed and business-aligned security decisions.
At the centre of the platform is the Tenable Exposure Data Fabric, a cloud-native architecture that collects, normalises, and connects data from across the security ecosystem. This data is utilised by Tenable ExposureAI, which applies machine learning to highlight toxic risk combinations, identify hidden attack paths, and prioritise mitigations based on their potential impact on business operations.
The platform also introduces unified risk dashboards that are fully customisable to align with specific business roles and priorities. These dashboards aim to reduce the reliance on manual reporting by providing flexible report configurations and advanced visualisation tools. Security teams are able to present insights and communicate risks more efficiently, according to the company.
Steve Vintz, Co-Chief Executive Officer and Chief Financial Officer at Tenable, said: "The cybersecurity market is saturated with point solutions that operate in isolation, slowing security efforts and leaving organisations vulnerable. The power of Tenable One enables organisations to view risks across security tools in context and focus remediation efforts on the exposures that matter most."
These enhancements to the Tenable One platform follow Tenable's acquisition of Vulcan Cyber and further their stated commitment to expanding exposure management capabilities. The company has indicated plans for additional connector integrations in the future, continuing into the second quarter of 2025 and beyond.
Tenable states that the updated platform supports security teams in prioritising risk, responding more quickly to incidents, and reducing cyber risk with greater precision. The customisable dashboards are designed to facilitate communication of risk at various levels within an organisation, aligning cybersecurity efforts with broader business objectives.
The company's approach centres on the principle that consolidating fragmented security data and providing unified risk insights is fundamental to enabling more proactive cybersecurity programmes. The integrations and capabilities introduced with Tenable One are positioned to support organisations of varying sizes and across different sectors, given the prevalence of complex and heterogeneous security environments highlighted by recent surveys and market analyses.
Hashtags

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


Techday NZ
a day ago
- Techday NZ
Apptio launches tools to clarify AI & hybrid IT investment
Apptio has released two new tools aimed at providing enterprises with enhanced transparency and control over the costs and returns of AI and hybrid IT investments. The AI TCO & Usage and Hybrid IT TCO Impact solutions are intended to address the challenge faced by enterprises in monitoring and optimising their investment in artificial intelligence and cloud infrastructure. AI TCO & Usage is designed to help organisations track the entire lifecycle of their AI investments, with features to monitor total expenditure and performance, identify anomalies in spending, and assess detailed cost drivers such as cloud services, vendor fees, and labour. The tool aims to provide teams with the information they need to make decisions about scaling AI initiatives responsibly and ensuring alignment with business objectives. Hybrid IT TCO Impact gives finance departments and technology managers the ability to see how migrating applications across cloud and on-premise environments is impacting the organisation financially. The solution provides a consolidated view of costs and financial data associated with cloud migration efforts, enabling active tracking of progress and continuous alignment with broader cloud and financial strategies. These features are part of Apptio's broader suite of SaaS offerings for Technology Business Management, which also covers IT financial management, FinOps, and strategic portfolio management. The portfolio is structured to help companies align technology investments with measurable business value and outcomes. According to research cited by Apptio, while the adoption of AI is a strategic priority for enterprises, only 25% of surveyed CEOs report that their AI initiatives have delivered the expected levels of ROI in recent years. The new tools seek to provide organisations with greater clarity not just around cost and consumption patterns, but the value and impact of AI projects — a requirement that Apptio says is currently underserved in the market. Alongside the growing focus on AI, 73% of organisations surveyed in the IBM CEO study referenced by Apptio are using hybrid cloud infrastructure to support AI deployments. This, according to the company, makes it even more necessary for finance and IT teams to work together to achieve visbility into expenditures, avoid runaway costs, and ensure resources are used efficiently. Apptio argues that many businesses currently lack comprehensive tools for understanding the total cost of ownership for their AI and hybrid IT estates, especially as environments rapidly evolve and as migration initiatives scale. The Hybrid IT TCO Impact tool is intended to close this gap by allowing tracking of application TCO and associated unit rates across multiple environments, with the ability to adapt strategies based on changing requirements. Eugene Khvostov, Chief Product Officer at Apptio, stated, "These solutions are built to fill critical gaps in enterprise TBM, to give organizations greater agility to stay on top of the constantly shifting cloud and AI landscapes. AI TCO & Usage is designed to solve the AI ROI dilemma, and we developed Hybrid IT TCO Impact to support technology decision makers on their overall hybrid cloud strategy. Both solutions are specifically tailored to address some of the industry's most pressing needs, including IT cost transparency and demonstrating value, and we're excited to bring them to market." The AI TCO & Usage solution allows organisations to monitor ongoing AI investment costs and usage across different models and solutions, including the ability to track user adoption within various business units. It also provides insight into detailed cost drivers, helping businesses spot trends and respond proactively to spending anomalies. The tool is structured to support more informed decisions around AI scaling and responsible resource consumption. Hybrid IT TCO Impact, on the other hand, delivers a dedicated financial view into the cost and impact of application migrations across hybrid IT landscapes. Its features include single-pane management of on-premise, private, and public cloud environments, and it enables users to actively track the progress of migrations in line with business and financial objectives. Jevin Jensen, IDC Research Vice President, Intelligent Cloud and FinOps, commented, "The growing complexity of cloud deployments and increasing investment in AI are making IT cost optimization an increasingly elusive target. TCO features are needed across both public and hybrid clouds to stay on top of the constant changes and plan more proactively." Both Hybrid IT TCO Impact and AI TCO & Usage are now available from Apptio as part of its current suite of Technology Business Management solutions.


Techday NZ
3 days ago
- Techday NZ
Siemens unveils SysML v2 modeler to boost systems engineering
Siemens Digital Industries Software has introduced Systems Modeler for SysML v2 Standard software as part of its Siemens Xcelerator portfolio, aiming to support the development of products that include mechanical, electrical, electronic, and software components. The new tool, Systems Modeler for SysML v2, offers a web-based solution for engineers, allowing collaborative product development in complex environments. Powered by IBM Rhapsody Systems Engineering, the software is the result of ongoing collaboration between Siemens and IBM, leveraging both companies' experience in systems engineering and adopting the SysML v2 open standard. SysML v2, the Systems Modeling Language version 2, provides a modelling language for the specification, analysis, design, verification, and validation of complex systems. The new tool is intended to streamline cross-domain workflow and enhance productivity for engineering teams developing sophisticated products or systems-of-systems. Frances Evans, Senior Vice President, Lifecycle Collaboration Software at Siemens Digital Industries Software, said: "By supporting the latest SysML v2 standard, we're combining cutting-edge systems engineering best practices with a modern user experience and streamlined cross-domain workflows. We are empowering engineers to work more efficiently, align across domains, and accelerate the development of complex systems." The collaboration between Siemens and IBM aims to empower systems engineers to use advanced SysML v2 modelling capabilities while encouraging cooperation across diverse engineering domains, including software, mechanical, and electrical specialisms. Melissa Modjeski, Vice President, IBM Software - Security, Lifecycle Management and B2B Integration, commented: "We are proud to partner with Siemens in empowering systems engineers to leverage advanced SysML v2 modeling while enabling seamless collaboration across software, mechanical, and electrical domains. We are delivering a truly integrated model-based development process that sharpens our clients' competitive edge." According to Siemens, Systems Modeler for SysML v2 is specifically designed to improve collaboration between engineering teams who are often working across multiple areas such as electrical and mechanical engineering. The software allows teams to use SysML v2 models to exchange data between different software applications and across various engineering domains. Another key feature of Systems Modeler for SysML v2 will be its integration with Siemens' Teamcenter Product Lifecycle Management (PLM) software. This connection is intended to create a systems-focused digital thread using open standards, supporting the integration of data and processes from mechanical, electronic, electrical, and software sources. Siemens states that this will help transfer system designs more efficiently to downstream teams for more specialised development, while also maintaining full traceability throughout the product's lifecycle. The integrated solution will also support comprehensive change management across entire projects, ensuring that all modifications are tracked and coordinated across different engineering teams. This feature is intended to maintain consistency and visibility as products evolve through various stages of development. Siemens Digital Industries Software targets a broad range of organisations aiming to use digital tools to optimise their design, engineering, and manufacturing workflows. The Systems Modeler for SysML v2 is positioned as part of this objective, providing a solution for companies dealing with the increasing complexity of modern products that blend hardware, electronics, and software elements.


Techday NZ
4 days ago
- Techday NZ
Tenable to acquire Apex Security, bolstering AI risk control
Tenable has announced its intent to acquire Apex Security to expand its exposure management capabilities within the artificial intelligence (AI) attack surface. The planned acquisition is aimed at incorporating Apex Security's technology into Tenable's exposure management platform, as AI adoption accelerates and new cyber risks emerge. Tenable has previously addressed AI-related security concerns through its Tenable AI Aware product, introduced in 2024, which assists organisations in identifying and assessing AI usage across their operations. The integration of Apex Security's capabilities would allow Tenable to move beyond detection and assessment, enabling organisations to govern AI usage, enforce policies, and control exposure risks for both off-the-shelf and in-house-developed AI systems. Generative AI and autonomous systems are contributing to a broader and more complex attack surface, exposing organisations to risks such as shadow AI applications, AI-generated code, synthetic identities, and unregulated cloud services. The expansion of Tenable's exposure management offering comes at a time when cyber risk management is adapting to the pace and scale of AI-driven digital transformation. Steve Vintz, Co-Chief Executive Officer and Chief Financial Officer at Tenable, said: "AI dramatically expands the attack surface, introducing dynamic, fast-moving risks most organisations aren't prepared for. Tenable's strategy has always been to stay ahead of attack surface expansion — not just managing exposures, but eliminating them before they can be exploited." Mark Thurmond, Co-Chief Executive Officer at Tenable, spoke about the proactive need for addressing AI risks. He said: "As organisations move quickly to adopt AI, many recognise that now is the moment to get ahead of the risk — before large-scale attacks materialise. Apex delivers the visibility, context, and control security teams need to reduce AI-generated exposure proactively. It will be a powerful addition to the Tenable One platform and a perfect fit for our preemptive approach to cybersecurity." Apex Security, founded in 2023, has attracted support from Chief Information Security Officers (CISOs) as well as prominent investors such as Sam Altman of OpenAI, Clem Delangue of Hugging Face, and venture capital firms Sequoia Capital and Index Ventures. The company's focus has been on securing AI usage among developers and general staff, helping address policy enforcement, usage management, and compliance challenges linked to AI adoption. Matan Derman, Chief Executive Officer and Co-Founder of Apex Security, commented on the strategic fit with Tenable. He said: "The AI attack surface is deeply intertwined with everything else organisations are already securing. Treating it as part of exposure management is the most strategic approach. We're excited to join forces with Tenable to help customers manage AI risk in context — not as a silo, but as part of their broader environment." Following the completion of the acquisition, Tenable expects to begin delivering integrated capabilities as part of the Tenable One platform during the second half of 2025. Tenable describes Tenable One as an exposure management platform which brings together visibility, context, and management for a range of attack surfaces from IT infrastructure to cloud environments. The financial terms of the deal have not been disclosed. The transaction is expected to close later this quarter, pending customary approvals and closing conditions.