Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

More than 80% of Fortune 500 companies rely on ChatGPT Enterprise, not just as a productivity tool, but as a platform for building custom GPTs, leveraging knowledge files, and enabling collaboration through Canvas. As AI Agent adoption accelerates across every corner of the enterprise, business users are innovating faster than ever, often without security oversight.

The digital age has introduced both immense opportunities and unprecedented challenges for businesses. Data is a powerful asset, yet managing its governance, security, and compliance requires intricate strategies and solutions. Leveraging artificial intelligence (AI) in these areas has become a game-changer in transforming how organizations of all sizes approach their data capabilities.

Is your team's favorite new productivity tool also your biggest data leak waiting to happen? Generative AI (GenAI) assistants like ChatGPT, Microsoft Copilot, and Google Gemini have quickly moved from novelty to necessity in many workplaces. These tools use machine learning and advanced algorithms to help employees draft content, analyze data, and even write code faster than ever before.

Modern infrastructure is already complex, characterized by distributed environments, multi-cloud deployments, and dynamic change. Now add Large Language Models (LLMs) to the mix, and the challenge grows exponentially. Engineering leaders are under pressure to deliver innovation fast, while also safeguarding against breaches, misconfigurations, and human error. That’s why initiatives like eliminating static credentials, enforcing just-in-time access, and reducing SSH key sprawl are gaining traction.

As AI becomes deeply integrated into critical business operations and adopted by increasing numbers of departments and employees, the volume and sensitivity of data flowing into these systems has grown exponentially. Companies now face a dual challenge: harnessing AI's potential while managing the substantial data risks it introduces.

AI agents are evolving fast — from helpful assistants to autonomous actors that can browse the web, analyze data, resolve customer service issues, assist in generating code, book travel, and more. As these agents take on more responsibilities, it’s crucial that the security model around them keeps up.

It’s been a year since we announced 1Password Extended Access Management, and in that time, it’s become clearer than ever that we are facing a major shift in how workers use technology to drive productivity. Whether it’s through organizations embracing the use of AI agents or tech-savvy employees independently seeking out any tool or application they need, the way we work has fundamentally evolved. And cybersecurity must evolve with it.