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Acronis Trust Center
Principles for Responsible AI
Acronis builds AI into cyber protection with safety, transparency, and customer control at the core.
Acronis has used machine learning and AI for years to stop ransomware, classify threats, and cut manual work for service providers. As generative AI expands what's possible, our approach stays the same: deploy carefully, prove value, and never compromise the data trust our customers count on.
We're a cyber protection company first. AI is how we make that protection faster, sharper, and easier to operate, not a separate story.
Principles that shape our approach to AI
Six principles guide how we design, build, and ship AI across Acronis Cyber Platform (formerly Acronis Cyber Protect Cloud), GenAI Protection, and the wider product portfolio.
Reliability, safety, and control
Every AI feature is tested the same way the rest of our platform is: rigorously, continuously, and against adversarial conditions. Quality gates, security reviews, and production monitoring keep behavior predictable as data and threats evolve.Transparency and explainability
When AI drives a recommendation or a detection, we explain why. Acronis surfaces the signals behind the decision, links to source data where applicable, and documents how each AI feature works so service providers and end customers can review and audit outputs.Fairness and bias mitigation
Models are evaluated for unintended bias before release and on an ongoing basis. We use diverse training and evaluation data, document known limitations, and update models when issues surface. The goal is AI that performs consistently across regions, customer sizes, and verticals.Human-centered design
AI assists people, it doesn't replace them. Consequential actions, recovery decisions, policy changes, customer communication, stay in human hands. Where automation runs unattended, such as ransomware containment in Active Protection, actions are scoped, reversible, and fully logged.Data privacy and security
Acronis AI features run inside Acronis Cyber Platform (formerly Acronis Cyber Protect Cloud) and inherit the platform's full security model: industry standard encryption at rest and in transit, role-based access control, multi-tenant isolation, and our standard compliance posture. Customer data is not used to train shared foundation models.
Every AI feature ships through a Secure Software Development Lifecycle that includes AI model-specific controls and guardrails.
Accountability and governance
Acronis runs a formal AI governance program with risk and impact assessments before launch and periodic reviews after. We are aligning our practices against the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act, and we publish updates as the program matures.
AI inside Acronis Cyber Platform
Our AI capabilities are built into the platform service providers and businesses already use, not bolted on as a separate product. From AI-driven ransomware detection in Active Protection to GenAI Protection for securing customer generative AI workloads, every feature is governed by the principles above.
Frequently Asked Questions
Cyber threats insights
Technical details into the latest malware, vulnerabilities, and cyberattacks