Barracuda Launched Data AI Security Platform
The new solution provides organizations with tools to manage generative AI risks and secure sensitive data.
Updated on Oct. 14, 2026 in Cybersecurity

Live Poll
Do you trust that businesses can safely manage employee use of generative AI tools?
Barracuda has introduced its Data AI Security platform to help businesses manage risks associated with generative AI tools. The system enables companies to maintain visibility over shadow AI and enforce strict compliance policies.
Why it matters
Organizations are struggling to balance the adoption of generative AI with the need to prevent sensitive data exposure and maintain regulatory compliance. This platform allows IT teams to monitor how employees interact with these tools in real-time.
The platform utilizes the Barracuda IQ engine to perform real-time inspection of data prompts and uploads. Deployment is handled through an agentless process that relies on DNS and network traffic analysis to monitor activity.
The players
Barracuda
Barracuda is a global technology company specializing in cloud-enabled security and data protection solutions.
The details
Integrated into the BarracudaONE platform, the service provides shadow AI discovery and visibility alongside automated logging for audit purposes. Organizations can implement policy enforcement based on specific tools and user roles to ensure sensitive information does not leave the corporate network.
Timeline
October 14, 2026: The solution was officially announced.
The Tech Race
This launch follows the company's broader strategy of centralizing its security ecosystem through the BarracudaONE platform. It signals a move to replace manual oversight with automated, real-time inspection as businesses scramble to control the rapid proliferation of unauthorized AI tools.
Employees may notice stricter prompts or restrictions when using generative AI tools as IT departments begin enforcing new security policies. Organizations can take advantage of the free Foundation tier to begin assessing their current AI usage and risks without upfront costs.
The takeaway
Businesses should audit their current generative AI usage to identify potential shadow AI vulnerabilities before implementing comprehensive security solutions. Establishing clear usage policies and automated inspection tools is essential to mitigating the risk of sensitive data leakage.
Further reading
For more information on securing enterprise networks, visit the United States Cybersecurity section.
Source note: This article includes information reported by Dynamic Business.
Live Poll
Do you trust that businesses can safely manage employee use of generative AI tools?










