Barracuda AI Data Security provides businesses with a structured, integrated way to manage data security, governance, and risk associated with Generative AI tools. Launched in September 2026, the tool aims to help organizations gain visibility into AI usage, enforce data protection policies, stop sensitive data from being exposed through employee interactions with AI, and generate audit-ready records—all without requiring extensive AI security expertise.
Key Features
Shadow AI discovery and risk visibility: The Foundation tier allows organizations to detect which AI tools are already in use (including unsanctioned ones), assess risk levels for each tool, and see where sensitive data might be exposed.
Real-time prompt and file inspection: Barracuda AI Data Security inspects prompts and uploads to AI services in real time, identifying and preventing the leakage of sensitive information like personal identifiers, credentials, source code, payment card and health data.
Threat detection aligned with industry standards: The tool includes detection of prompt injection, jailbreak attempts, policy violations, and unsafe content. These protections are aligned with the Open Web Application Security Project’s Large Language Model (LLM) Top 10.
Flexible policy enforcement by role, tool, and data type: Organizations can tailor controls—block, warn, or redact—depending on department, tool, or content type. For example, engineering could continue using coding assistants, while other teams are restricted in how they share customer data with AI.
Audit-ready logging and compliance support: Every interaction, enforcement action, detection type, user identity, and timestamp is logged. One-click exports enable reporting suitable for internal governance, audits, or insurance reviews.
Ease of deployment and usability: Powered by the Barracuda IQ AI engine and delivered via the BarracudaONE platform, the solution includes prebuilt detection models, firewall-style policy workflows, and guided setup through Barracuda’s Bailey AI assistant. MSPs can manage multiple clients from one console.
Coverage for many GenAI tools: Protection spans over 1,300 generative AI services, including major platforms such as Copilot, ChatGPT, Claude, and Gemini.
Pricing
Foundation (Free): Offers shadow AI discovery and risk reporting.
Premium: Adds enforcement over high-risk AI tools, including shadow AI remediation for over 1,300 GenAI tools and data protection for Microsoft Copilot.
Premium Plus: Builds on Premium by extending real-time inspection and data loss prevention (DLP) across all supported AI tools and workflows, beyond just Copilot.
Pricing for the paid tiers (Premium and Premium Plus) is per user, per month and is available upon request. The free Foundation tier provides a no-cost way for organizations to begin AI risk discovery without upfront commitment.
Who is it for?
Small and medium-sized businesses or lean security teams that are adopting GenAI but lack extensive security or AI governance resources.
Organizations already using Microsoft Copilot or considering its deployment; the Premium tier specifically protects Copilot data flows.
Managed Service Providers seeking to offer AI governance and data security to their clients, leveraging multitenant management and bundled pricing.
Businesses under regulatory or compliance pressure that need audit trails, proof of control, and enforceable policies as AI use increases.
Teams across departments—legal, engineering, marketing, sales—that face different data risk profiles and need role-based controls.
Final thoughts
Barracuda AI Data Security provides a pragmatically designed approach to securing generative AI adoption. Its strongest benefits lie in offering graduated levels of protection—from free visibility to full enforcement and inspection—within a unified platform. For organizations still grappling with unknown AI usage, the free discovery tools may already provide valuable insight. For those expanding into many AI tools or under regulatory pressure, the higher tiers promise robust data protection and compliance support. As with any security investment, potential buyers should clarify the roadmap for features and verify whether all needed tools and workflows are supported under their plan size and context.
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