Senior Localization Engineer - Applied AI

GISEC 2026: Tenable to highlight Agentic AI-driven exposure management. At the event, Tenable will showcase its Tenable One Exposure Management Platform. Tenable announced its participation at GISEC Global 2026, taking place at the Dubai Exhibition Centre (DEC), Expo City Dubai from 16-18 September. At the event, Tenable will showcase its Tenable One Exposure Management Platform, which unifies visibility across an organisation's entire attack surface. Building on this foundation, the company will highlight how its AI capabilities, including Hexa AI and AI Exposure, help close critical security gaps before attackers can exploit them. As organisations across the Middle East continue their digital transformation journey and integrate generative AI into enterprise operations, security teams are facing an influx of expanding attack surfaces and rapid threat cycles. At GISEC Global 2026, Tenable will demonstrate how these AI capabilities bridge the gap between exposure discovery and automated remediation. "AI and cloud adoption are moving faster across the Middle East than most organisations' security controls can keep pace with," said Maher Jadallah, Vice President, Middle East and Africa at Tenable. "Attackers are already using AI to find vulnerabilities faster than defenders can patch them. As initiatives like the UAE National Cybersecurity Strategy push organisations toward more resilient infrastructure, security teams need a clear, prioritised view of where they're exposed, not another disconnected tool." Visitors to GISEC can schedule briefings with Tenable security experts and experience live demonstrations of the Tenable One platform, including Tenable Hexa AI and AI Exposure, throughout the event at booth number H7-B130 in Hall 7. Tenable One brings together two distinct AI capabilities. Tenable AI Exposure helps organisations discover, assess and secure how AI is being used across their environments. Tenable Hexa AI is the platform's agentic engine, using AI to coordinate agents, automate security tasks and accelerate remediation. Put simply, AI Exposure helps organisations secure their use of AI, while Hexa helps them use AI to improve security operations. Together, they advance Tenable's preemptive security strategy by helping organisations reduce AI-related risk and act on cyber exposure more efficiently.

Tenable, OpenAI partner to inspect community-built AI components. Tenable and OpenAI are developing Exchange Inspector to assess AI agents, MCP servers, skills and multi-agent playbooks before enterprise deployment. 09 Sep 2026 10:01 IST Tenable has partnered with OpenAI to develop a security review process for AI agents and other community-built AI components, as enterprises increasingly adopt agentic AI in their workflows. The CyberAgents Exchange AI Inspector, or Exchange Inspector, will combine OpenAI GPT cyber models with Tenable's AI security capabilities and researcher reviews to assess AI agents, skills, Model Context Protocol (MCP) servers and multi-agent playbooks before they are deployed in enterprise environments. Inspecting AI components. The new service is part of Tenable's CyberAgents Exchange, an open-source registry for cybersecurity-focused AI components. Launched in August, the exchange currently includes more than 100 community-submitted agents, skills, MCP servers and multi-agent playbooks. Exchange Inspector will use OpenAI's GPT cyber models for frontier security assessments, while Tenable One AI Exposure will inspect the skills within submitted components. Tenable researchers will also review the components as part of the process. The aim is to give security teams more visibility into the risks associated with third-party and community-built AI components before they are introduced into enterprise environments. "Agentic AI will only reach its potential in the enterprise if security teams can trust the components being introduced into their environments," said Eric Doerr, chief product officer at Tenable. "By combining OpenAI GPT cyber models with Tenable's security expertise and researcher review, we're building a more rigorous way to inspect community-built AI components before they're used in enterprise environments. This is an important step in applying frontier AI to help defenders identify and prioritize risk across the growing agent ecosystem." Growing agent ecosystem. The development comes as AI agents are moving beyond standalone assistants toward systems that can access tools, interact with enterprise data and execute tasks with limited human intervention. This creates additional security considerations around the components that agents use and the permissions they receive. Tenable said the CyberAgents Exchange was expanded following its SWARM build event at Black Hat USA 2026, where security teams and developers built AI components for cybersecurity use cases. Exchange Inspector is expected to become available in September. The collaboration also builds on Tenable's participation in OpenAI's Daybreak Defense Network. OpenAI's Intelligence at Work: Cyber Summit, where the initiative was announced, brought together cybersecurity leaders to discuss applications of frontier AI for defense, including security analysis, threat detection and remediation.

Tenable & OpenAI launch AI inspector for cyber agents. Tue, 8th Sep 2026 (Today) Tenable is working with OpenAI to launch CyberAgents Exchange AI Inspector, a review process intended to assess AI agents and related components before deployment. The move reflects a joint effort by the cybersecurity company and OpenAI as businesses increase their use of agentic AI tools in enterprise environments. CyberAgents Exchange AI Inspector is designed to review AI agents, skills, MCP servers and multi-agent playbooks listed on the CyberAgents Exchange, operated by Tenable. The process combines OpenAI GPT cyber models, inspection through Tenable One AI Exposure and review by Tenable researchers. The aim is to help security teams identify and prioritise risks before community-built AI components are introduced into corporate systems. Tenable framed the initiative as a response to a growing market for shared AI tools built for cyber defence use cases. The collaboration grew out of Tenable's involvement in the OpenAI Daybreak Defence Network, a programme that brings cybersecurity companies into OpenAI's ecosystem. CyberAgents Exchange AI Inspector is expected to become available in September. The exchange The CyberAgents Exchange launched as an open-source registry focused on cybersecurity applications for AI agents and related tools. It now contains more than 100 community-submitted AI components following a recent SWARM build event hosted by Tenable. That growth points to a broader shift in the security market, as vendors and practitioner communities experiment with AI systems that can carry out multi-step tasks, connect to external services and coordinate with other agents. For security teams, the challenge is that such tools can also introduce new risks through software flaws, unsafe permissions, data handling issues or weak oversight. By introducing a formal inspection process, Tenable is seeking to add more structure to how those components are assessed before use. Its existing AI exposure technology is intended to support that process by examining risks associated with AI systems and their surrounding infrastructure. Security concerns The announcement comes as companies face pressure to adopt generative and agent-based AI while also addressing concerns from security and governance teams. In practice, that has created demand for products and review methods that can test not only models, but also the tools, workflows and connectors built around them. MCP servers, one of the component types covered by the new process, connect AI systems with outside resources and applications. Multi-agent playbooks are structured workflows in which several AI agents perform separate roles to complete a larger task. Security specialists have increasingly warned that these systems may expand an organisation's attack surface if deployed without proper vetting. Community-built components can broaden access to innovation, but they can also create uncertainty around provenance, permissions and operational behaviour. Eric Doerr, Chief Product Officer at Tenable, said the collaboration is intended to address that issue. "Agentic AI will only reach its potential in the enterprise if security teams can trust the components being introduced into their environments," Doerr said. "By combining OpenAI GPT cyber models with Tenable's security expertise and researcher review, we're building a more rigorous way to inspect community-built AI components before they're used in enterprise environments. This is an important step in applying frontier AI to help defenders identify and prioritise risk across the growing agent ecosystem." OpenAI's cyber-focused summit, where the initiative was introduced, brought together security industry leaders to discuss defensive uses of advanced AI systems. The discussions focused on how AI reasoning tools can be integrated into existing security products and workflows to help defenders handle threat findings and remediation more quickly. For Tenable, the tie-up also extends its effort to position itself in the emerging market for AI security oversight. As organisations test agent-based systems for security operations and other tasks, vendors are competing to offer assessment tools that can give risk teams clearer visibility into what those systems do and how they connect to enterprise environments.