"AI is complicating the threat map. Enterprises are using AI in multiple ways across disjointed paths and every path needs to be secured. This becomes even more complex for companies with hybrid workforces. Last year was the year that companies dabbled in AI. In 2026 more enterprises are using AI for serious business and that requires security, scalability, and speed."
"Developers are creating AI agents, browser-based online AI services, AI plugins, or their own AI models and LLMs for custom AI agents that are running locally. Each of these forms can result in sensitive data being sent and received via different network paths or different applications or services, creating a challenge for enterprises to secure users and sensitive data."
Cloudbrink announced new security and performance capabilities for AI agents and online AI services integrated into its secure connectivity platform. With 88 percent of enterprises globally using AI for business functions, cybersecurity risks have escalated due to diverse AI platforms, protocols, and lack of standardization. Enterprises face dual threats: securing new AI vulnerabilities while defending against cybercriminals leveraging AI capabilities. Cloudbrink's new AI platform secures various AI forms including agents, browser-based services, plugins, and custom models running locally. The expanded platform addresses the complexity of protecting sensitive data across multiple network paths and applications in hybrid workforce environments.
Read at App Developer Magazine
Unable to calculate read time
Collection
[
|
...
]