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The 5th Cyberspace Security Cooperation and Development Academic Conference brought together university leaders, researchers, and technology practitioners to examine how organizations should approach cybersecurity, data governance, and digital transformation as AI becomes a permanent fixture in enterprise and academic environments.
Info2soft joined the conference as a featured presenter, covering the evolving data security challenges facing higher education and outlining its strategic direction for the next generation of disaster recovery.
AI is being integrated into higher education at an accelerating pace — across teaching platforms, research systems, and campus management. Large models and AI applications are reshaping how universities operate digitally.
At the same time, data volumes are growing rapidly and IT architectures are becoming more complex. This is creating new challenges around data security and business continuity for the education sector.
In the keynote session, Info2soft’s Senior Vice President presented on advancing AI data security innovation in the education and research sector.
The talk drew on Info2soft’s experience supporting major education digitalization projects, and for the first time offered a systematic overview of the company’s Disaster Recovery Agent strategy.
It also covered practical approaches to building data resilience for higher education institutions.
The presentation identified a critical inflection point for the sector.
As AI is fully integrated into teaching, research, and administration, university IT architectures and data environments are being fundamentally transformed — and traditional approaches to information infrastructure are struggling to keep pace.
Large AI models are entering teaching platforms, research systems, and campus management.
As data flows across more boundaries, traditional perimeter-based security is being challenged. Data protection needs to extend across the full data lifecycle.
Digital infrastructure spending at universities continues to grow, but the returns are often hard to quantify.
Business continuity and data availability are becoming the key indicators of whether that investment is delivering real value.
Multi-campus operations, multiple cloud platforms, and interconnected business systems are making university IT environments increasingly difficult to manage. A single critical data outage can disrupt teaching, research, and administration simultaneously.
The education sector is moving into an era where the core competitive capability is not simply system deployment, but data resilience — the ability to keep data continuously available, secure, and recoverable.
In response to the demands of the AI era, Info2soft formally introduced the concept of the Disaster Recovery Agent — a strategic evolution that goes beyond technology upgrades, representing a shift from tool-based recovery toward intelligent, autonomous decision-making.
Info2soft mapped this evolution across four generations of technology:
| Generation | Approach | Recovery Speed |
|---|---|---|
| Traditional backup | Tape and disk, manual recovery | Hour-level RPO |
| Continuous data protection | Real-time replication, point-in-time restore | Second-level RPO |
| Cloud disaster recovery | DRaaS, elastic scale-out | Cloud-native RTO |
| Disaster Recovery Agent | AI-driven prediction, autonomous recovery | Proactive and continuous |
The key distinction
The architecture covers the complete capability stack — from data source and sensing layer, through decision engine and execution layer, to a continuous verification loop.
It enables real-time risk identification, intelligent recovery decisions, automated execution, and ongoing learning. The goal is to evolve the operations function toward an intelligent, self-improving system.
For higher education’s complex IT environments, Info2soft has developed a unified data resilience platform spanning data protection, business continuity, and disaster recovery.
Key capabilities include:
The platform is already running across multiple universities, supporting stable operation of teaching, research, and administrative systems in high-concurrency, complex environments.
AI training environment, Shanghai — A financial university deployed i2Backup to protect its AI research and training infrastructure, providing continuous data protection for model training workflows with zero data loss tolerance.
Cross-campus continuity, Liaoning — A multi-campus university implemented a unified disaster recovery system to synchronize academic, administrative, and research data across distributed locations, eliminating data silos between campuses.
Academic system resilience, Hunan — A technology university built a high-availability architecture for its core teaching and research platforms, achieving sub-second failover to keep operations running through infrastructure incidents.
Looking beyond its own platform, Info2soft proposed a joint AI Security Lab initiative with regional universities to build a more systematic approach to data security capability in the education sector.
The proposed structure covers three areas:
Research — Joint work on AI and disaster recovery integration, intelligent recovery strategies, and knowledge graph development for operational decision-making.
Talent — Shared graduate programs and research fellowships focused on the intersection of data security and intelligent systems operations.
Applied outcomes — A pathway from research to deployable technology, to translate academic work into production-ready tools for the education sector.
“The competition in education is no longer just about how far along the digitalization journey you are — it’s about how resilient your data infrastructure is when it matters most.”
As AI becomes deeply embedded in education and research, data is the foundational resource. Keeping that data continuously available, secure, and recoverable is the defining infrastructure challenge of the next phase of education digitalization.
Info2soft will continue advancing disaster recovery toward greater intelligence and systemic integration — working with universities and industry partners to build the data resilience infrastructure that the AI era demands.
