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  • ✇Blog
  • Inside Acronis AI Security Engine
    GenAI protection is not just about stopping bad prompts. It is about understanding what users and applications are sending to AI tools, identifying when that content creates data exposure or instruction-manipulation risk, and turning that analysis into clear policy action. A layered engine makes that possible.
     

Inside Acronis AI Security Engine

27 de Agosto de 2026, 11:00
GenAI protection is not just about stopping bad prompts. It is about understanding what users and applications are sending to AI tools, identifying when that content creates data exposure or instruction-manipulation risk, and turning that analysis into clear policy action. A layered engine makes that possible.

  • ✇Blog
  • What is AI DLP?
    AI DLP inspects prompts and uploads to AI tools before they reach the model. Learn how it complements broader DLP and why it matters.
     
  • ✇Blog
  • What is prompt injection?
    Prompt injection is when crafted input makes an AI model behave in unintended ways. Learn the types, real examples and how to prevent it.
     
  • ✇Blog
  • What is shadow AI?
    Shadow AI is employee use of AI tools without IT oversight. Learn the risks, how to detect it, and how to govern AI app usage before data leaks.
     
  • ✇Blog
  • How to write an AI usage policy
    Write an AI usage policy with this 7-step guide and free template. 63% of breached organizations lacked an AI governance policy, per IBM 2025.
     
  • ✇Blog
  • How MSPs should evaluate AI security
    For managed service providers (MSPs), the question is no longer whether to secure AI adoption for their clients, but how to evaluate the right AI security solution. This article introduces practical tips to help MSPs compare AI security solutions with confidence.
     
  • ✇Blog
  • Prompt injection protection: Detecting and blocking malicious AI instructions
    In generative AI, a natural-language interface can create a new security problem: instructions and data can become mixed together. In prompt injection techniques, an attacker tries to place malicious instructions where an AI system may read them, so the model follows the attacker’s goal instead of the user’s or the company’s intended rules.
     

Prompt injection protection: Detecting and blocking malicious AI instructions

4 de Junho de 2026, 08:11
In generative AI, a natural-language interface can create a new security problem: instructions and data can become mixed together. In prompt injection techniques, an attacker tries to place malicious instructions where an AI system may read them, so the model follows the attacker’s goal instead of the user’s or the company’s intended rules.

Safe agentic AI for MSPs & SMDs: Guardrails, tenant isolation, access control, human approval

2 de Junho de 2026, 16:27
Agentic AI is different from a normal AI assistant. A normal assistant usually answers a question, summarizes a file, drafts an email or helps a user find information. An AI agent can go further. It can interpret a goal, plan several steps, use tools, call APIs, work with connected data and even take action inside a business process with some degree of autonomy.

GenAI security management: Governing apps, agents and MCP servers through central policy

22 de Maio de 2026, 08:45
Generative AI in business is no longer just one chatbot in one browser tab. In plain language, it means having one place to decide which AI is approved, who can use it, what it can connect to, what it is allowed to do and how all of that is monitored over time.

What is shadow AI? And why GenAI usage monitoring matters for MSPs and SMDs

15 de Maio de 2026, 12:43
Generative AI is no longer a side experiment inside businesses. It is moving into normal work: writing, summarizing, coding, research, customer support, etc. That is why the right response to it is not a generic anti-AI message. It is observability first, then governance, then protection.

  • ✇Blog
  • What are MCP and RAG? And why should MSPs and SMDs care?
    AI is moving fast, and with that speed comes a new set of terms that many business readers are now hearing for the first time: RAG and MCP. They describe how modern AI systems get better information, connect to business tools, and, in some cases, go beyond answering questions to carrying out work, because customers are no longer asking only for a chatbot.
     

What are MCP and RAG? And why should MSPs and SMDs care?

12 de Maio de 2026, 12:27
AI is moving fast, and with that speed comes a new set of terms that many business readers are now hearing for the first time: RAG and MCP. They describe how modern AI systems get better information, connect to business tools, and, in some cases, go beyond answering questions to carrying out work, because customers are no longer asking only for a chatbot.

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