AIBound, a specialized AI security platform, has officially emerged from stealth at the 2026 RSA Conference. Positioned as a "Control Plane for Secure AI," the platform is designed to provide organizations with the dual capability of detecting and preventing AI-related risks across various environments, including browsers, endpoints, networks, and cloud infrastructure. Founded by industry veteran Niall Browne, the company aims to resolve the tension between the rapid adoption of AI by employees and the need for robust security oversight within the enterprise.
AIBound officially launched from stealth during the RSA Conference 2026.
The platform acts as an AI Control Plane to manage risks across browsers, endpoints, and clouds.
It features over 100 integrations to provide visibility into AI tools, agents, and models.
Powering the platform is Nucleus AI, a proprietary engine that assesses hundreds of thousands of AI apps.
Founder Niall Browne previously served as Global CISO at Palo Alto Networks and Workday.
AIBound enables security teams to block unauthorized AI tools instantly without hindering business innovation.
The launch of AIBound comes at a time when an estimated 78% of employees are using unapproved AI tools, creating significant "Shadow AI" challenges for IT departments. The platform is built to give security teams the visibility required to stay ahead of this adoption curve. By turning uncontrolled AI usage into a managed business enabler, the system allows companies to embrace innovation while maintaining a firm grip on data security and compliance.
"AIBound was born from hundreds of conversations with the world's leading CISOs that exposed a tension every CISO knows: companies must embrace AI to stay competitive, yet staff are adopting AI faster than security and IT teams can secure," said Niall Browne, CEO and co-founder of AIBound. "Today, every person in your company is experimenting with AI — and rightly so. AIBound gives security teams the platform to finally get ahead of it — turning AI from an uncontrolled risk into a business enabler."
At the core of AIBound’s offering is Nucleus AI, a proprietary intelligence engine that maintains one of the industry's most extensive AI application catalogs. This engine automatically identifies and evaluates the risk profiles of hundreds of thousands of AI applications and plugins. By translating complex AI activity into actionable intelligence, security practitioners can make informed decisions about which tools to authorize and which to mitigate, ensuring a secure journey toward AI transformation.
The platform’s design reflects the deep expertise of its leadership team, specifically tailored for the challenges of modern enterprise infrastructure. Unlike legacy security tools, AIBound is laser-focused on the unique vulnerabilities introduced by AI agents and large language models. With its formal debut at RSAC, the company is demonstrating how its 100+ integrations can create a comprehensive security layer that scales alongside the evolving AI landscape, providing the accountability that global boards and government entities now require.
"Security teams are being asked to both enable AI innovation and control its risk, often with legacy security tools that were never designed for AI," said Ralf VonSosen, Chief Growth Officer at AIBound. "Niall's experience has driven him to build an AI security platform by security practitioners, for security practitioners — a control plane laser-focused on the opportunities and challenges security teams face every day in securing their organizations' AI transformation journey."
About AIBound:
AIBound is the AI Control Plane for Secure AI, the platform purpose-built to both detect and prevent AI. Founded in 2025 by Niall Browne, five-time Global CISO and former head of security at Palo Alto Networks and Workday. Through more than 100 integrations, AIBound gives organizations complete visibility into every AI app, agent, model, and plugin in. Powered by Nucleus AI, the platform automatically identifies and assesses hundreds of thousands of AI applications, turning AI risk into clear, actionable intelligence.
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