Acronis has introduced GenAI Protection, a security and monitoring solution that helps MSPs manage generative AI use, prevent sensitive data leaks and guard against prompt manipulation. It marks the first phase of Acronis Cyber Workspace, with further capabilities planned to deliver a fully protected AI environment within its platform.
As organizations rapidly adopt generative AI tools, businesses face growing risks related to data leakage, shadow AI usage, and malicious prompt manipulation. Many consumer-grade AI tools lack enterprise visibility, while enterprise solutions are not designed to be delivered and managed through MSPs. Acronis GenAI Protection addresses this gap by providing partners with a purpose-built solution to monitor and secure generative AI usage across SMB environments.
AI Monitoring and Security Delivered Through MSPs
Acronis GenAI Protection is designed to be provisioned, managed, and monetized by MSPs. Through a centralized console integrated into the Acronis platform, service providers can monitor AI usage across customer environments, including policy enforcement, reporting, and risk mitigation, while protecting generative AI interactions alongside data, applications, and endpoints.
“Generative AI adoption is accelerating, but it introduces new risks that businesses are not fully equipped to manage,” said Gaidar Magdanurov, President at Acronis. “MSPs are uniquely positioned to help businesses adopt AI securely, but until now they haven’t had the right tools to monitor and manage it effectively. GenAI Protection enables MSPs to turn AI security into a managed service, creating new revenue opportunities while protecting their customers from emerging risks.”
Built-In Protection for Generative AI Usage
Acronis GenAI Protection provides visibility and security for AI usage without requiring additional point solutions or enterprise-grade complexity.
Key capabilities include:
- Shadow AI usage and visibility: Discover and monitor generative AI applications used across client environments to understand adoption and risk exposure.
- Sensitive data protection for AI interactions: Inspect prompts for sensitive data such as PII or PHI and prevent unauthorized transmission to public or unsanctioned AI tools.
- Prompt injection and AI abuse prevention: Detect and block malicious prompts designed to manipulate AI behavior or compromise workflows.
“AI is now mainstream for SMBs, with over half using AI tools, led by marketing and sales seeking scale, productivity, and efficiency,” said Matthew Ball, Chief Analyst at Omdia. “While most adoption runs through SaaS, growing use of consumer AI, sanctioned or not, generates new security risks that create new requirements for MSPs to actively manage.”
